I am trying to learn Python on kaggle, and this question is part of the introductory material.
A researcher has gathered thousands of news articles. But she wants to focus her attention on articles including a specific word. Complete the function below to help her filter her list of articles.
Your function should meet the following criteria:

• Do not include documents where the keyword string shows up only as a part of a larger word. For example, if she were looking for the keyword “closed”, you would not include the string “enclosed.”
• She does not want you to distinguish upper case from lower case letters. So the phrase “Closed the case.” would be included when the keyword is “closed”
• Do not let periods or commas affect what is matched. “It is closed.” would be included when the keyword is “closed”. But you can assume there are no other types of punctuation.

Here is my code:

def word_search(doc_list, keyword): """ Takes a list of documents (each document is a string) and a keyword. Returns list of the index values into the original list for all documents containing the keyword. Example: doc_list = ["The Learn Python Challenge Casino.", "They bought a car", "Casinoville"] >>> word_search(doc_list, 'casino') >>> [0] """ #index values vals = [] #loop thru indices for i in range(len(doc_list)): doc = doc_list[i].lower().strip(",.").split() if keyword.lower() in doc: vals.append(i) return vals 

​
However, vals never seems to get updated when executing. Here is my error message:

Incorrect: Expected return value of [1] given doc_list=['The Learn Python Challenge Casino', 'They bought a car, and a horse', 'Casinoville?'], keyword='car', but got [] instead. 

I tried investigating with print()

print(doc, keyword.lower()) #and got this ['the', 'learn', 'python', 'challenge', 'casino'] casino ['they', 'bought', 'a', 'car,', 'and', 'a', 'horse'] casino ['casinoville?'] casino 

Not sure what is going wrong....
Here is the solution they gave:

def word_search(documents, keyword): # list to hold the indices of matching documents indices = [] # Iterate through the indices (i) and elements (doc) of documents for i, doc in enumerate(documents): # Split the string doc into a list of words (according to whitespace) tokens = doc.split() # Make a transformed list where we 'normalize' each word to facilitate matching. # Periods and commas are removed from the end of each word, and it's set to all lowercase. normalized = [token.rstrip('.,').lower() for token in tokens] # Is there a match? If so, update the list of matching indices. if keyword.lower() in normalized: indices.append(i) return indices 

I cannot tell what I am doing wrong.

Welcome to Lost in the Sauce, keeping you caught up on political and legal news that often gets buried in distractions and theater… or a global health crisis.
Title refers to: The Trump admin is blocking IGs from getting info on over $1 trillion in relief spending, including corporation bailouts. The admin is also withholding PPP info from Congress, meaning we don't know if Trump or his family took taxpayer money. Additionally, we learned that at least 4 members of Congress have benefited from PPP money, but aren't required to disclose it.
Housekeeping:

• HOW TO SUPPORT: I know we are all facing unprecedented financial hardships right now. If you are in the position to support my work, I have a patreon, venmo, and a paypal set up. No pressure though, I will keep posting these pieces no matter what.
  
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Coronavirus

Inspectors general warned Congress last week that the Trump administration is blocking scrutiny of more than $1 trillion in spending related to the Covid-19 pandemic. According to the previously undisclosed letter, Department of Treasury attorneys concluded that the administration is not required to provide the watchdogs with information about the beneficiaries of programs like the $500 billion in loans for corporations.
Treasury Secretary Mnuchin refused to provide Congress with the names of recipients of the taxpayer-funded coronavirus business loans. After criticism, Mnuchin began to walk back his denial, saying he will talk to lawmakers on a bipartisan basis “to strike the appropriate balance for proper oversight” of PPP loans “and appropriate protection of small business information.”
At least 4 lawmakers have benefited in some way from the Paycheck Protection program they helped create. Politico has been told there are almost certainly more -- but there are zero disclosure rules, even for members of Congress.

• Republicans on the list include Rep. Roger Williams of Texas, a wealthy businessman who owns auto dealerships, body shops and car washes, and Rep. Vicky Hartzler of Missouri, whose family owns multiple farms and equipment suppliers across the Midwest. The Democrats count Rep. Susie Lee of Nevada, whose husband is CEO of a regional casino developer, and Rep. Debbie Mucarsel Powell of Florida, whose husband is a senior executive at a restaurant chain that has since returned the loan.

Mick Mulvaney dumped as much as $550,000 in stocks the same day Trump assured the public the US economy was 'doing fantastically' amid the COVID-19 outbreak. Mulvaney unloaded his holdings in three different mutual funds, each of which is primarily made up of US stocks. The next day, the value of the mutual funds tanked.

Cases rising in many states

Good summary: There was supposed to be a peak. But the stark turning point, when the number of daily COVID-19 cases in the U.S. finally crested and began descending sharply, never happened. Instead, America spent much of April on a disquieting plateau, with every day bringing about 30,000 new cases and about 2,000 new deaths. This pattern exists because different states have experienced the coronavirus pandemic in very different ways…The U.S. is dealing with a patchwork pandemic.
As of Friday, coronavirus cases were significantly climbing in 16 states: Alabama, Arizona, Arkansas, Florida, Georgia, Louisiana, Mississippi, Nevada, North Carolina, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Utah, and Washington.
Oklahoma is experiencing a massive increase in coronavirus cases just days before Trump’s planned rally in Tulsa. In Tulsa county itself, 1 in roughly 390 people have tested positive. Yet Trump plans on cramming 20,000 people in an event with voluntary face mask policy and no social distancing. Attendees must sign a waiver that absolves the president’s campaign of any liability from virus-related illnesses.

• On Monday, Pence lied saying that Oklahoma has “flattened the curve.” As you can see at any of the resources immediately below, this is not even close to true. Over the past 14 days, the state has seen a 124% increase in cases and reports 65% of ICU beds are in use.
  
• Tulsa World Editorial Board: This is the wrong time and Tulsa is the wrong place for the Trump rally. "We don't know why he chose Tulsa, but we can’t see any way that his visit will be good for the city...Again, Tulsa will be largely alone in dealing with what happens at a time when the city’s budget resources have already been stretched thin."
  
• Earlier in the day, Trump tweeted that he is a victim of double standards when it comes to perception of his decision to resume campaign rallies in the midst of the coronavirus pandemic, declaring that attempts to “covid shame” his campaign “won’t work!”
  

Resources to track increases: There are many different sites with various methods of visualizing the spread of coronavirus. Here are some that may be particularly useful this summer… Topos COVID-19 compiler homepage and graphs of each state since re-opening. How we reopen Safely has stats on each state’s progress towards meeting benchmarks to reopen safely (hint: almost none have reached all the checkpoints). WaPo has a weekly national map of cases/deaths; the largest regional clusters are in the southeast.
On Monday, Trump twice said that “if we stop testing right now, we’d have very few cases, if any,” (video). Aside from the fact that cases exist even if we don’t test for them, we cannot explain the rising number of cases by increased testing capacity: In at least 14 states, the positive case rate is increasing faster than the increase in the average number of tests.

• Reminder: In March Trump told Fox News that he didn't want infected patients from a cruise ship to disembark because it would increase the number of reported cases in the US. "I like the numbers being where they are," Trump said at the time. "I don't need to have the numbers double because of one ship that wasn't our fault."

Fired scientist Rebekah Jones builds coronavirus dashboard to rival Florida’s… Her site shows thousands more people with the coronavirus, and hundreds of thousands fewer who have been tested, than the site run by the Florida Health Department.

Equipment and supplies

More studies prove wearing masks limits transmission and spread of coronavirus… One study from Britain found that routine face mask use by 50% or more of the population reduced COVID-19 spread to an R of less than 1.0. The R value measures the average number of people that one infected person will pass the disease on to. An R value above 1 can lead to exponential growth. The study found that if people wear masks whenever they are in public it is twice as effective at reducing the R value than if masks are only worn after symptoms appear.
Meanwhile, Trump officials refuse to wear masks and Trump supporters copy his behavior… VP Mike Pence, leader of the coronavirus task force, published a tweet showing himself in a room full of Trump staffers, none wearing masks or practicing social distancing. Pence deleted the tweet shortly after criticism. A poll last week showed that 66% of likely-Biden-voters “always wear a mask,” while 83% of likely-Trump-voters “neverarely wear a mask.”

• Trump’s opposition to face masks hasn’t stopped him from selling them to his supporters, though. The online Trump Store is selling $20 cotton American flag-themed face masks.
  
• Yesterday, we learned that South Carolina Republican Rep. Tom Rice and family have tested positive for the coronavirus. Just two weeks ago, Rice was on the House floor and halls of the Capitol without wearing a mask.
  

Internal FEMA data show that the government’s supply of surgical gowns has not meaningfully increased since March… The slides show FEMA’s plan to ramp up supply into June and July hinges on the reusing of N95 masks and surgical gowns, increasing the risk of contamination. Those are supposed to be disposed of after one use.
Nursing homes with urgent needs for personal protective equipment say they’re receiving defective equipment as part of Trump administration supply initiative. Officials say FEMA is sending them gowns that look more like large tarps -- with no holes for hands -- and surgical masks that are paper-thin.
More than 1,300 Chinese medical-device companies that registered to sell PPE in the U.S. during the coronavirus pandemic used bogus registration data… These companies listed as their American representative a purported Delaware entity that uses a false address and nonworking phone number.
Florida is sitting on more than 980,000 unused doses of hydroxychloroquine, but hospitals don’t want it… Gov. Ron DeSantis ordered a million doses of the drug to show support for Trump, but very few hospitals have requested it.

Native American communities struggle

The CARES Act money for Native American tribes, meant to assist people during the pandemic, came with restrictions that are impeding efforts to limit the transmission of the virus. For instance, the funds can only be used to cover expenses that are "incurred due to the public health emergency." On the Navajo Nation, the public health emergency is inherently related to some basic infrastructure problems. 30% of Navajo don’t have running water to wash their hands, but the money can’t be used to build water lines.
Federal and state health agencies are refusing to give Native American tribes and organizations representing them access to data showing how the coronavirus is spreading around their lands, potentially widening health disparities and frustrating tribal leaders already ill-equipped to contain the pandemic. The Centers for Disease Control and Prevention has turned down tribal epidemiologists’ requests for data that it’s making freely available to states.
A Hospital’s Secret Coronavirus Policy Separated Native American Mothers From Their Newborns… Pregnant Native American women were singled out for COVID-19 testing based on their race and ZIP code, clinicians say. While awaiting results, some mothers were separated from their newborns, depriving them of the immediate contact doctors recommend. New Mexico Gov. Michelle Lujan Grisham announced that state officials would investigate the allegations.

Personnel & appointees

Former IG Steve Linick told Congress he was conducting five investigations into Secretary of State Mike Pompeo and the State Department before he was fired. In addition to investigating Pompeo's potential misuse of taxpayer funds and reviewing his decision to expedite an $8 billion arms sale to Saudi Arabia, Linick’s office was conducting an audit of Special Immigrant Visas, a review of the International Women of Courage Award, and another review "involving individuals in the Office of the Protocol."

• Pompeo confidant emerges as enforcer in fight over watchdog’s firing: Linick testified that Undersecretary of State for Management Brian Bulatao, a decades-old friend of Pompeo’s, “tried to bully [him]” out of investigating Pompeo.

Trump has empowered John McEntee, director of the Presidential Personnel Office, to make significant staffing changes inside top federal agencies without the consent — and, in at least one case, without even the knowledge — of the agency head. Many senior officials in Trump's government are sounding alarms about the loss of expertise and institutional knowledge.
Trump’s nominee for under secretary of defense for policy, retired Army Brig. Gen. Anthony Tata, has a history of making Islamophobic and inflammatory remarks against prominent Democratic politicians, including falsely calling former President Barack Obama a Muslim.
Amid racial justice marches, GOP advances Trump court pick hostile to civil rights. Cory Wilson, up for a lifetime seat on the U.S. Circuit Court of Appeals for the 5th Circuit, has denied that restrictive voting laws lead to voter suppression and called same-sex marriage “a pander to liberal interest groups.”
Interior Secretary David Bernhardt has indefinitely extended the terms of the acting directors of the Bureau of Land Management and the National Park Service, sidestepping the typical Senate confirmation process for those posts and violating the Federal Vacancies Reform Act,

Courts and DOJ

The Supreme Court declined on Monday to take a closer look at qualified immunity, the legal doctrine that shields law enforcement and government officials from lawsuits over their conduct. Developed in recent decades by the high court, the qualified immunity doctrine, as applied to police, initially asks two questions: Did police use excessive force, and if they did, should they have known that their conduct was illegal because it violated a "clearly established" prior court ruling that barred such conduct? In practice, however, lower courts have most often dismissed police misconduct lawsuits on grounds that there is no prior court decision with nearly identical facts.
The Supreme Court ruled that federal anti-discrimination laws protect gay and transgender employees. Justice Neil M. Gorsuch and Chief Justice John G. Roberts Jr. joined the court’s liberals in the 6 to 3 ruling. They said Title VII of the Civil Rights Act of 1964, which prohibits discrimination “because of sex,” includes LGBTQ employees.

• Alito, writing more than 100 pages in dissent for himself and Thomas, accused the court's majority of writing legislation, not law. Kavanaugh wrote separately: "We are judges, not members of Congress...Under the Constitution and laws of the United States, this court is the wrong body to change American law in that way."
  
• Just days before the SCOTUS opinion was released, the Trump administration finalized a rule that would remove nondiscrimination protections for LGBTQ people when it comes to health care and health insurance. The SCOTUS ruling may make it easier to challenge the changes made by Trump.
  

The Supreme Court also declined to take up California’s “sanctuary” law, denying the Trump administration’s appeal. This means that the lower court opinion upholding one of California's sanctuary laws is valid, limiting cooperation between law enforcement and federal immigration authorities. Justices Clarence Thomas and Samuel Alito, two of the Court's conservative members, supported taking up the case.
A federal appeals court appeared unlikely Friday to stop a judge from examining why the Justice Department sought to walk away from its prosecution of Michael Flynn. "I don't see why we don't observe regular order," said Judge Karen Henderson. "Why not hold this in abeyance and see what happens?" Judge Robert Wilkins told Flynn's lawyer that if Sullivan doesn't let the government drop the case, "then you can come back here on appeal."

Other

Good read: Fiona Hill on being mistaken as a secretary by Trump, her efforts to make sure he was not left alone with Putin, and what the US, UK and Russia have in common. “It’s spitting in Merkel’s face,” said Vladimir Frolov, a former Russian diplomat who’s now a foreign-policy analyst. “But it’s in our interests.”

• Russia’s Foreign Ministry welcomed Trump’s plan to withdraw more than a quarter of U.S. troops from Germany.
  
• Op-Ed: Why cutting American forces in Germany will harm this alliance
  

According to a new book, the Secret Service had to seek more funding to cover the cost of protecting Melania Trump while she stayed in NYC to renegotiate her prenup - taxpayers paid tens of millions of dollars to allow her to get better terms. Additionally, NYPD estimated its own costs conservatively at $125,000 a day.
Georgia election 'catastrophe' in largely minority areas sparks investigation. Long lines, lack of voting machines, and shortages of primary ballots plagued voters. As of Monday night, there were still over 200,000 uncounted votes.
Fox News runs digitally altered images in coverage of Seattle’s protests, Capitol Hill Autonomous Zone
Fox News Mocked After Mistaking Monty Python Joke for Seattle Protest Infighting
In addition to holding a rally on the day after Juneteenth (originally scheduled the day of), Trump will be accepting the GOP nomination in Jacksonville on the 60th anniversary of “Ax Handle Saturday,” a KKK attack on African Americans.
Environmental news:

• Ruling against environmentalists, the U.S. Supreme Court decided that the federal government has the authority to allow a proposed $7.5 billion natural gas pipeline to cross under the popular Appalachian Trail in rural Virginia.
  
• Trump administration has issued a new rule blocking tribes from protecting their waters from projects like pipelines, dams, and coal terminals.
  
• The EPA published a proposal in the Federal Register that critics described as an assault on minority communities coping with the public health legacy of structural racism. The rule would bar EPA from giving special consideration to individual communities that bear the brunt of environmental risks — frequently populations of color.
  
• The Trump administration is preparing to drill off Florida’s coast, but says it will wait until after the November election to avoid any backlash from Florida state leaders.
  

Immigration news

• U.S. Customs and Border Protection used emergency funding meant for migrant families and children to pay for dirt bikes, canine supplies, computer equipment and other enforcement related-expenditures… The money was meant to be spent on “consumables and medical care” for migrants at the border.
  
• ACLU files lawsuit against stringent border restrictions related to coronavirus that largely bar migrants from entering the United States.
  
• Under Trump’s leadership, U.S. Citizenship and Immigration Services has mismanaged its finances so badly that it has sought an emergency $1.2 billion infusion from taxpayers. When Trump took office, USCIS inherited a budget surplus. A large amount of funding is drained by its deliberate creation of more busy work for immigrants and their lawyers — as well as thousands of USCIS employees. These changes are designed to make it harder for people to apply for, receive or retain lawful immigration status.
  
• Asylum-seeking migrants locked up inside an Arizona ICE detention center with one of the highest number of confirmed COVID-19 cases say they were forced to clean the facility and are 'begging' for protection from the virus
  
• ICE plans to spend $18 million on thousands of new tasers and the training to use them
  

Hello.
We're working on a 2d platform shooting game, I'm the only developer and I need help. We have 1 graphics designer and 2 incredible musicians.
This is a position in which I pay both the designer and the musicians, but I'm afraid I cannot pay developers, it's too expensive and I believe it's better if we as the programmers charge with the responsibility to deliver the code and make a profit over the launched game, since 2-4 hours a day can do a great change and our jobs are usually better paid than artists.
I'm not new to programming, I have +7 years in the gaming industry and consider myself a veteran coding software for video games, I'm currently working for a company that makes casino games and other than that I'm usually working on fintech.
The core language is Lua, we have more ambitious projects for the future (one including a semi-ported Python 3.4 and Pygame version to Xbox One of a Fire Emblem rip-off) so we will keep busy working on that.
I know you might disagree and say "why wouldn't I be paid for my job other than revenue sharing", well, this started as a hobby for all of us, and it will be great if you could also help me paying artists for music and graphics, which is why programmers fail when delivering games and what most of GDC talks are about, without art you're screwed, prove me wrong.
This is a video of the current progress we have
https://www.youtube.com/watch?v=BQTyjRcQqy0
Shoot me up a message if you think you can help us create incredible games.
Discord: Greentwip#8513, Email: [[email protected]](mailto:[email protected])
Yours truly.
Victor

Hi all, I'm a fully blind Craps player and thought I'd share a little project I've been working on. I've been collecting a bunch of Craps strategies and putting them into one accessible online compendium that I built for quick access or easy studying when at a table or before hitting the floor. I also coded my own Craps game in Python that runs in Terminal or Power Shell. I know there are a variety of casino video games and such out there, but not really anything that's accessible to blind players, so I took it upon myself to create my own to satisfy my enjoyment of dice while not being able to head out to a casino for the time being.
If interested in either my game or all of the Craps strategies, here is my strategy site.
Would love to hear what you think and if you have any additional strategies to add. The site is fully accessible with the keyboard and screen readers, and I made sure to keep it high contrast for readability along with a fun Craps table color scheme.

Hi everyone... I am in the process of making my first python game. It is the casino game 'craps.' I have all the code down so it works, but it has no UI (it currently uses input statements and the user types the response in the shell). I was looking for some advice on how to turn my code into an actual game with the interface. Any help is appreciated!

Here's the question, A researcher has gathered thousands of news articles. But she wants to focus her attention on articles including a specific word. Complete the function below to help her filter her list of articles.
Your function should meet the following criteria:
Do not include documents where the keyword string shows up only as a part of a larger word. For example, if she were looking for the keyword “closed”, you would not include the string “enclosed.”
She does not want you to distinguish upper case from lower case letters. So the phrase “Closed the case.” would be included when the keyword is “closed”
Do not let periods or commas affect what is matched. “It is closed.” would be included when the keyword is “closed”. But you can assume there are no other types of punctuation.

Here's my ans: def word_search(doc_list, keyword): """ Takes a list of documents (each document is a string) and a keyword. Returns list of the index values into the original list for all documents containing the keyword. Example: doc_list = ['The Learn Python Challenge Casino', 'They bought a car, and a horse', 'Casinoville?'] word_search(doc_list, 'casino') >>> [0] """ #non-course provided and my own code starts here. k=0 print(doc_list,keyword) for string in doc_list: print(string) for char in string: if char.upper()==keyword[0] or char.lower()==keyword[0]: print(char,string[string.index(char)-1]) if (string[string.index(char)-1]==" " or string[string.index(char)-1]=="" or string[string.index(char)-1]==".") and (string[string.index(char)+len(keyword)]==" " or string[string.index(char)+len(keyword)]=="" or string[string.index(char)+len(keyword)]=="."): print(string[string.index(char)-1]) for k in range(len(keyword)): print(k) if string[string.index(char)+k].upper()==keyword[k] or string[string.index(char)+k].lower()==keyword[k]: c=c+k if len(c)==len(keyword): return doc_list.index(string) 

But after running the check code, q2.check() :

Incorrect: Got a return value of None given doc_list=['The Learn Python Challenge Casino', 'They bought a car, and a horse', 'Casinoville?'], keyword='casino', but expected a value of type list. (Did you forget a return statement?) 

The code is compiling successfully without syntax and other explicit errors. But I can't find any implicit bugs that's generating a wrong ans after struggling for 5+ hrs. please help!

Here's the question, A researcher has gathered thousands of news articles. But she wants to focus her attention on articles including a specific word. Complete the function below to help her filter her list of articles.
Your function should meet the following criteria:

1. Do not include documents where the keyword string shows up only as a part of a larger word. For example, if she were looking for the keyword “closed”, you would not include the string “enclosed.”
2. She does not want you to distinguish upper case from lower case letters. So the phrase “Closed the case.” would be included when the keyword is “closed”
3. Do not let periods or commas affect what is matched. “It is closed.” would be included when the keyword is “closed”. But you can assume there are no other types of punctuation.

My ans:

def word_search(doc_list, keyword): """ Takes a list of documents (each document is a string) and a keyword. Returns list of the index values into the original list for all documents containing the keyword. Example: doc_list = ['The Learn Python Challenge Casino', 'They bought a car, and a horse', 'Casinoville?'] >>> word_search(doc_list, 'casino') >>> [0] """ #My own non-course provided code starting below. k=0 print(doc_list,keyword) for string in doc_list: print(string) for char in string: if char.upper()==keyword[0] or char.lower()==keyword[0]: print(char,string[string.index(char)-1]) if (string[string.index(char)-1]==" " or string[string.index(char)-1]=="" or string[string.index(char)-1]==".") and (string[string.index(char)+len(keyword)]==" " or string[string.index(char)+len(keyword)]=="" or string[string.index(char)+len(keyword)]=="."): print(string[string.index(char)-1]) for k in range(len(keyword)): print(k) if string[string.index(char)+k].upper()==keyword[k] or string[string.index(char)+k].lower()==keyword[k]: c=c+k if len(c)==len(keyword): return doc_list.index(string) 

This line of code checks the ans when executed:

# Check your answer q2.check() 

But it's returning,

Incorrect: Got a return value of None given doc_list=['The Learn Python Challenge Casino', 'They bought a car, and a horse', 'Casinoville?'], keyword='casino', but expected a value of type list. (Did you forget a return statement?) 

The code is compiling successfully without syntax and other explicit errors. But I can't find any implicit bugs that's generating a wrong ans after struggling for 5+ hrs. please help!

This is my first rodeo, so if something looks off please let me know! As a way to avoid going crazy during #StayAtHome I have decided to move my entire physical DVD/Blu-Ray library to digital. As you can imagine I am kicking myself from the years of tossing out the inserts and not paying attention. That's fine! My list is halfway done by now! The downside to my madness is that I have acquired many different codes due to bulk sales. So...let's dive in!
​
Here's what I can offer in Movies Anywhere

• Aloha (SD, Sony Points Maybe?)
• Avengers: Infinity War (HD; DMR)
• Barbie & Her Sisters In A Puppy Chase (HD)
• Dolphin Tale (HD)
• Harry Potter & The Deathly Hallows Part 2 (HD)
• Hotel Transylvania 3 (HD)
• How to Train Your Dragon 2 (HD)
• Kit Kittredge: An American Girl (HD)
• Parental Guidance (HD)
• Rio 2 (HD)
• Sex and the City: The Movie (HD)
• Spider-Man: Into the Spiderverse (SD)
• Taken 2 (HD)
• The Amazing Spiderman (SD; Sony Points Maybe?)
• The Book Thief (HD)
• The Fast and the Furious: Tokyo Drift (HD)
• The Fate of the Furious (Theatrical Edition) (HD)
• The Lucky One (HD)
• The Marine 4: Moving Target (HD)
• The Secret Life of Walter Mitty (HD)
• The Wedding Ringer (SD; Sony Points Maybe?)
• War Room (SD; Sony Points Maybe?)

​
Here is my big list of things I am still looking for (that is not in iTunes). I would prefer at least HD, but am flexible!

• 300
• 12-12-12 Concert For Sandy Relief
• 16 Blocks
• 24: Season 1 - 5
• 3:10 To Yuma
• 30 Days of Night
• Alien vs. Predator: Requiem (Unrated)
• Amazing Adventure
• American Chinatown
• American Psycho
• Aqua Teen Hunger Force: Season 1 - 6
• Ash vs. Evil Dead: Season 1
• Batman 4 Pack: Batman, Batman Returns, Batman & Robin, Batman Forever
• Be Cool
• Ben 10: Alien Swarm
• Beowulf & Grendal
• Big Trouble
• Bill Engvall: Here's Your Sign Live
• Blood & Chocolate
• Blood: The Last Vampire (Animated)
• Boogeyman
• Broken Arrow
• Bubba Ho-tep
• Casino Royale
• Clifford
• Club Dread
• Daredevil
• Dark Kingdom: The Dragon King
• Darkest Knight
• Demon Hunters: Dead Camper Lake
• Die Hard 1-4
• Dogma
• Double Dragon
• Dr. Horrible's Sing-Along Blog
• Dragonlance
• Drop Dead Fred
• Dungeons & Dragons 2: Wrath of the Dragon God
• Dungeons & Dragons: The Animated Series
• Eragon
• Exorcist: The Beginning
• Family Guy: Season 1 - 4
• Family Guy: Stewie Griffin: The Untold Story
• Fantastic Four (Not the Reboot Version)
• Fantastic Four: Rise of the Silver Surfer
• Fight Club
• Final Fantasy VII: Advent Children
• Flashfire
• Freeway
• From Hell
• Gamer
• Ghostbusters (Not the Reboot)
• Ghostbusters II
• Goldeneye
• Happy Feet 1 & 2
• Harold & Kumar Escape From Guantanamo Bay
• Harold & Kumar Go To White Castle (Extreme Unrated)
• Heroes: Season 1
• Hide and Seek
• House M.D.: Season 1 -3
• How I Met Your Mother: Season 1 - 6
• I, Robot
• Idiocracy
• In The Name of the King: A Dungeon Siege Tale
• Invader Zim: Volume 1 - 3
• Jeff Foxworthy: You Might Be A Redneck & Check Your Neck
• Jim Breuer: Hardcore
• Johnny English: Reborn
• Jumper
• Kick-Ass
• Kindred The Embraced: Season 1
• Knights of Badassdom
• Larry The Cable Guy: Git-R-Done
• Lewis Black: Black on Broadway
• Lewis Black: Red, White & Screwed
• Little Britain: Season 1
• Lost Souls
• Lucky # Slevin
• Man on Fire
• Max Payne (Unrated)
• Mazes and Monsters
• Men In Black 3
• Metallica: Cunning Stunts
• Michael Clayton
• Minority Report
• Mirrormask
• Monty Python and the Holy Grail
• Mortal Kombat 1 & 2
• Mortal Kombat: Legacy
• Mortal Kombat: Legacy II
• Moulin Rouge
• Mr. & Mrs. Smith
• Mr. Brooks
• Neil Gaiman's Neverwhere
• Oblivion
• Oceans 13
• Office Space
• Pathfinder (Unrated)
• Percy Jackson: Sea of Monsters
• Poltergeist II: The Other Side
• Pride & Prejudice & Zombies
• Priest
• Princess Mononoke
• Pulse (Unrated)
• Punisher: War Zone
• Quantum of Solace
• Queen of the Damned
• Rain Man
• Rambo: The Fight Continues
• Reno 9-1-1: Season 1
• Repomen
• Resident Evil
• Revelations (Mini-Series)
• Rome: Season 1
• Ron White: They Call Me Tater Salad
• Rose Red
• Rose Red: The Diary of Ellen Rimbauer
• Rudyard Kipling's Junglebook
• Saturday Night Live: The Best of Will Ferrell
• Scarface (Anniversary Edition)
• Scourge of Worlds
• Sealab 2021: Season 1 -4
• Secondhand Lions
• Shadow of the Vampire
• Short Circuit
• Short Circuit 2
• Silent Hill
• Skin Walkers
• Spawn
• Spider-Man (Not any of the Reboots)
• Spider-Man 2
• Spirited Away
• Spy Game
• Stargate (Ultimate Edition)
• Stranger Than Fiction
• Suicide Kings
• Sunshine
• Super Troopers
• Taken (TV Series)
• Ted
• Teen Titans Go! To The Movies
• Terminator 2: Judgement Day
• Terminator 3: Rise of the Machines
• The 25th Anniversary Rock & Roll Hall of Fame Concerts
• The Best of Triumph the Insult Comic Dog
• The Brothers Grimm
• The Count of Monte Cristo
• The Dark Tower
• The Darwin Awards
• The Day After Tomorrow
• The Expendables
• The Eye
• The Gamers
• The Goonies
• The Illusionist
• The Invasion
• The Invisible
• The Last Mimzy
• The Last Unicorn
• The Lawnmower Man 1 & 2
• The League of Extraordinary Gentlemen
• The Legend of the Drunken Master II
• The Man With The Screaming Brain
• The Musketeer
• The Office: Season 1
• The Onion Movie
• The Order
• The Others
• The Prestige
• The Producers
• The Punisher (Original)
• The Return
• The Rite
• The Rundown
• The Scorpion King
• The Seeker
• The Shield: Season 1 - 5
• The Sixth Sense
• The Skeleton Key
• The Strangers (Unrated)
• The Sword and the Sorcerer
• The Terminal
• The Terminator
• The Thirteenth Floor
• The Tick vs. Season 1
• The Transporter
• The Transporter 2
• The Watcher
• The X-Files: Fight The Future
• The X-Files: I Want To Believe
• Thirteen Ghosts
• Three Kings
• Titan A.E.
• Tombstone
• Transformers
• Tropic Thunder
• Tru Calling: Season 1 - 2
• UHF
• Unbreakable
• Unleashed (Unrated)
• Urban Legends: Final Cut
• V for Vendetta
• Van Helsing
• Virtuosity
• War
• War of the Worlds
• Weirdsville
• What About Bob
• Zodiac
• Zombie Honeymoon

• iOS UI designer who loves houseplants ? ^\)^link\) PlantX · US design, us, remote-friendly, freelance
  
• Elm Developer ^\)^link\) Holmusk engineering, dev, digital nomad
  
• Frontend Software Engineer, Platform ^\)^link\) Splice · USA Only engineering, software development, ci/cd, typescript , react, redux, management, frontend
  
• Senior Manager, Data Scientist ^\)^link\) Atlassian · USA Only n-a, all others, data science, sql, leadership, r, python, applied statistics, fraud prevention
  
• Group Product Manager ^\)^link\) Kuali · USA Only tech, product, product management, sql, healthcare, documentation
  
• Product Manager ^\)^link\) FlexJobs · USA Only tech, product, product management, google analytics, sql, healthcare, documentation
  
• Graphic Designer ^\)^link\) Bigleaf Networks · USA Only design, adobe creative suite, b2b, digital design, ui/ux, graphic design
  
• Technical Team Leader ^\)^link\) IOVLABS exec
  
• Solutions Architect ^\)^link\) Christian Care Ministry architecture
  
• Senior Frontend Developer - We're motivated to code with a sense of purpose ^\)^link\) We ❤️ people who code · Malmö, Sweden tech
  
• Fullstack ^\)^link\) eMastered
  
• Senior Magento Developer ^\)^link\) Trellis engineering, dev, senior, digital nomad
  
• Shopify Developer ^\)^link\) Bluebolt engineering, dev, ecommerce, digital nomad
  
• Product Manager, Usability & Workflow ^\)^link\) Viant Technology · USA Only tech, product, product management, sql, healthcare, documentation
  
• Technical Product Manager ^\)^link\) Documo · North America Only tech, product, product management, documentation, sql, healthcare
  
• Haskell Developer ^\)^link\) Holmusk engineering, dev, haskell, digital nomad
  
• Senior Designer for Online Casino ^\)^link\) NBTC Technology LTD · Anywhere tech, anywhere, remote-friendly, freelance
  
• Executive Director ^\)^link\) Momentum Alliance · $60,000 · Oregon, US non-tech, engineering
  
• Senior Backend Developer - We're motivated to code with a sense of purpose ^\)^link\) We ❤️ people who code · Malmö, Sweden tech
  
• EpiServer CMS Developer ^\)^link\) Bluebolt engineering, dev, digital nomad
  
• Senior Front End Developer ^\)^link\) Drooms engineering, front end, dev, senior, digital nomad
  
• Shopify App Developer ^\)^link\) Trellis engineering, dev, ecommerce, digital nomad
  
• Senior Backend Developer ^\)^link\) Nacelle engineering, dev, senior, backend, digital nomad
  
• Senior .NET Web Applications Developer ^\)^link\) eThor engineering, dev, web dev, senior, digital nomad
  
• Senior .NET Developer ^\)^link\) eThor engineering, dev, senior, digital nomad
  
• Finance Associate ^\)^link\) Silk Road Rising · Illinois, US non-tech, engineering
  
• ____ ^\)^link\) Teleperformance · $12.25 - $15.25 an hour ++ · Lansing sales-marketing, non-tech, customer-support
  

Hello friends! These are the open remote positions I've found that were published today. See you tomorrow! Bleep blop 🤖

A day or two ago, I posted here if I can get a list of all types of classification of key, value is OSM. I was referred to : https://wiki.openstreetmap.org/wiki/Map_Features. Which was helpful because it was legit and contained all the information I needed. But as it is way too big. It was hard for me handle. So I wrote a python script and made it easy. Source code is available under MIT license in GitHub : https://github.com/maifeeulasad/OSM-feature-extract-python. Anyone fell free to contribute and find out issues in the project.
Thanks everyone, specially to u/pietervdvn and u/maxerickson.
​
Here is the result, the latest version of the result can be found in readme in GitHub. I will be trying to host these data as much as possible. Anyone interested can contact with me.
For API call this : API features

{ "fire_object:type": [], "sorting_name": [], "highway": [ "motorway", "trunk", "primary", "secondary", "tertiary", "unclassified", "residential", "motorway_link", "trunk_link", "primary_link", "secondary_link", "tertiary_link", "living_street", "service", "pedestrian", "track", "bus_guideway", "escape", "raceway", "road", "footway", "bridleway", "steps", "corridor", "path", "cycleway", "proposed", "construction", "bus_stop", "crossing", "elevator", "emergency_access_point", "give_way", "milestone", "mini_roundabout", "motorway_junction", "passing_place", "platform", "rest_area", "speed_camera", "street_lamp", "services", "stop", "traffic_mirror", "traffic_signals", "trailhead", "turning_circle", "turning_loop", "toll_gantry", "User Defined" ], "non_existent_levels": [], "wood": [], "junction": [ "roundabout" ], "building": [ "apartments", "bungalow", "cabin", "detached", "dormitory", "farm", "ger", "hotel", "house", "houseboat", "residential", "semidetached_house", "static_caravan", "terrace", "commercial", "industrial", "kiosk", "office", "retail", "supermarket", "warehouse", "cathedral", "chapel", "church", "mosque", "religious", "shrine", "synagogue", "temple", "bakehouse", "civic", "fire_station", "government", "hospital", "kindergarten", "public", "school", "toilets", "train_station", "transportation", "university", "barn", "conservatory", "cowshed", "farm_auxiliary", "greenhouse", "stable", "sty", "grandstand", "pavilion", "riding_hall", "sports_hall", "stadium", "hangar", "hut", "shed", "carport", "garage", "garages", "parking", "digester", "service", "transformer_tower", "water_tower", "bunker", "bridge", "construction", "roof", "ruins", "tree_house", "user defined " ], "service": [ "alley", "crossover", "siding", "spur", "yard" ], "est_width": [], "toll": [], "addr:place": [], "area": [], "cutting": [ "yes" ], "bicycle_road": [], "motorcycle": [], "wheelchair": [], "reg_name": [], "sac_scale": [], "opening_hours": [], "psv": [], "ele": [], "goods": [], "shop": [ "alcohol", "bakery", "beverages", "brewing_supplies", "butcher", "cheese", "chocolate", "coffee", "confectionery", "convenience", "deli", "dairy", "farm", "frozen_food", "greengrocer", "health_food", "ice_cream", "organic", "pasta", "pastry", "seafood", "spices", "tea", "wine", "water", "department_store", "general", "kiosk", "mall", "supermarket", "wholesale", "baby_goods", "bag", "boutique", "clothes", "fabric", "fashion", "fashion_accessories", "jewelry", "leather", "sewing", "shoes", "tailor", "watches", "wool", "charity", "second_hand", "variety_store", "beauty", "chemist", "cosmetics", "erotic", "hairdresser", "hairdresser_supply", "hearing_aids", "herbalist", "massage", "medical_supply", "nutrition_supplements", "optician", "perfumery", "tattoo", "agrarian", "appliance", "bathroom_furnishing", "doityourself", "electrical", "energy", "fireplace", "florist", "garden_centre", "garden_furniture", "gas", "glaziery", "hardware", "houseware", "locksmith", "paint", "security", "trade", "windows", "antiques", "bed", "candles", "carpet", "curtain", "doors", "flooring", "furniture", "household_linen", "interior_decoration", "kitchen", "lighting", "tiles", "window_blind", "computer", "robot", "electronics", "hifi", "mobile_phone", "radiotechnics", "vacuum_cleaner", "atv", "bicycle", "boat", "car", "car_repair", "car_parts", "caravan", "fuel", "fishing", "free_flying", "golf", "hunting", "jetski", "military_surplus", "motorcycle", "outdoor", "scuba_diving", "ski", "snowmobile", "sports", "swimming_pool", "trailer", "tyres", "art", "collector", "craft", "frame", "games", "model", "music", "musical_instrument", "photo", "camera", "trophy", "video", "video_games", "anime", "books", "gift", "lottery", "newsagent", "stationery", "ticket", "bookmaker", "cannabis", "copyshop", "dry_cleaning", "e-cigarette", "funeral_directors", "laundry", "money_lender", "party", "pawnbroker", "pet", "pet_grooming", "pest_control", "pyrotechnics", "religion", "storage_rental", "tobacco", "toys", "travel_agency", "vacant", "weapons", "outpost", "user defined" ], "official_name": [], "traffic_sign": [], "tactile_paving": [], "forestry": [], "maxwidth": [ "Width" ], "surface": [], "amenity": [ "bar", "bbq", "biergarten", "cafe", "drinking_water", "fast_food", "food_court", "ice_cream", "pub", "restaurant", "college", "driving_school", "kindergarten", "language_school", "library", "toy_library", "music_school", "school", "university", "bicycle_parking", "bicycle_repair_station", "bicycle_rental", "boat_rental", "boat_sharing", "bus_station", "car_rental", "car_sharing", "car_wash", "vehicle_inspection", "charging_station", "ferry_terminal", "fuel", "grit_bin", "motorcycle_parking", "parking", "parking_entrance", "parking_space", "taxi", "atm", "bank", "bureau_de_change", "baby_hatch", "clinic", "dentist", "doctors", "hospital", "nursing_home", "pharmacy", "social_facility", "veterinary", "arts_centre", "brothel", "casino", "cinema", "community_centre", "fountain", "gambling", "nightclub", "planetarium", "public_bookcase", "social_centre", "stripclub", "studio", "swingerclub", "theatre", "animal_boarding", "animal_shelter", "baking_oven", "bench", "childcare", "clock", "conference_centre", "courthouse", "crematorium", "dive_centre", "embassy", "fire_station", "firepit", "give_box", "grave_yard", "gym", "hunting_stand", "internet_cafe", "kitchen", "kneipp_water_cure", "marketplace", "monastery", "photo_booth", "place_of_worship", "police", "post_box", "post_depot", "post_office", "prison", "public_bath", "public_building", "ranger_station", "recycling", "refugee_site", "sanitary_dump_station", "sauna", "shelter", "shower", "telephone", "toilets", "townhall", "vending_machine", "waste_basket", "waste_disposal", "waste_transfer_station", "watering_place", "water_point", "user defined" ], "name:left": [], "disused": [], "toilets:wheelchair": [], "mtb:scale:uphill": [], "leaf_type": [], "maxspeed": [ "Speed" ], "ice_road": [], "building:max_level": [], "location": [], "fire_rank": [], "nudism": [], "public_transport": [ "stop_position", "platform", "station" ], "drive_through": [], "loc_name": [], "roadtrain": [], "railway:track_ref": [], "mtb:description": [], "motor_vehicle": [], "addr:street": [], "short_name": [], "produce": [], "overtaking": [], "bdouble": [], "oneway": [], "passing_places": [], "name": [], "parking:lane": [], "motorcar": [], "cycleway": [ "lane", "opposite", "opposite_lane", "track", "opposite_track", "share_busway", "opposite_share_busway", "shared_lane" ], "admin_level": [], "maxlength": [ "Length" ], "turn": [], "tracks": [], "incline": [], "width": [], "hgv": [], "moped": [], "name:": [], "hazmat": [], "mofa": [], "int_name": [], "addr:interpolation": [], "atv": [], "boundary": [ "aboriginal_lands", "administrative", "maritime", "marker", "national_park", "political", "postal_code", "protected_area", "user defined" ], "addr:hamlet": [], "mtb:scale": [], "inscription": [], "railway": [ "abandoned", "construction", "disused", "funicular", "light_rail", "miniature", "monorail", "narrow_gauge", "preserved", "rail", "subway", "tram", "halt", "platform", "station", "subway_entrance", "tram_stop", "buffer_stop", "derail", "crossing", "level_crossing", "signal", "switch", "railway_crossing", "turntable", "roundhouse", "traverser", "wash", "user defined" ], "voltage": [], "ski": [], "addr:city": [], "tank": [], "maxstay": [], "foot": [], "building:min_level": [], "frequency": [], "emergency": [ "phone" ], "addr:postcode": [], "old_name": [], "name_1": [], "maxweight": [ "Weight" ], "bridge": [ "yes" ], "embedded_rails": [], "nat_name": [], "building:levels": [], "layer": [], "parking:condition": [], "addr:full": [], "agricultural": [], "Relation:restriction": [], "golf_cart": [], "crossing": [], "route": [ "bicycle", "bus", "canoe", "detour", "ferry", "foot", "hiking", "horse", "inline_skates", "light_rail", "mtb", "piste", "power", "railway", "road", "running", "ski", "subway", "train", "tracks", "tram", "trolleybus", "" ], "crossing:island": [], "landuse": [ "commercial", "construction", "industrial", "residential", "retail", "allotments", "farmland", "farmyard", "forest", "meadow", "orchard", "vineyard", "basin", "brownfield", "cemetery", "conservation", "depot", "garages", "grass", "greenfield", "greenhouse_horticulture", "landfill", "military", "", "plant_nursery", "port", "quarry", "railway", "recreation_ground", "religious", "reservoir", "salt_pond", "village_green", "user defined", "railway" ], "tunnel": [ "yes" ], "addr:housenumber": [], "mountain_pass": [], "maxaxleload": [ "Weight" ], "charge": [], "abutters": [], "tracktype": [], "start_date": [], "narrow": [], "lanes": [], "ford": [], "tidal": [], "smoothness": [], "driving_side": [], "building:fireproof": [], "addr:state": [], "usage": [], "winter_road": [], "boat": [], "addr:subdistrict": [], "access": [ "designated" ], "drive_in": [], "addr:suburb": [], "bicycle": [], "entrance": [], "internet_access": [], "sidewalk": [], "addr:housename": [], "motorboat": [], "mtb:scale:imba": [], "motorroad": [], "addr:province": [], "noexit": [], "horse": [], "4wd_only": [], "vehicle": [], "addr:district": [], "lhv": [], "building:flats": [], "inline_skates": [], "busway": [ "lane" ], "maxheight": [ "Height" ], "end_date": [], "service_times": [], "leaf_cycle": [], "addr:inclusion": [], "electrified": [], "minspeed": [ "Speed" ], "addr:country": [], "traffic_calming": [], "alt_name": [], "soft_storey": [], "border_type": [], "embankment": [], "trail_visibility": [], "addr:conscriptionnumber": [], "fire_operator": [], "height": [], "lit": [], "covered": [], "addr:flats": [], "operator": [] } 

A bit of background:

I'm helping a friend play-test his real-life card game using Python. There is a bunch of data he would like to amass in order to better balance the game, and as this would be better achieved in code than having to play thousands of live games, I agreed to give him a hand.
I have an understanding of the fundamentals, OOP, composition, certain design patterns, and a touch of game theory. I began coding by learning Java almost 2 years ago now, but for this I personally felt that Python would better lend itself to this sort of thing. I am by no means proficient, but I think a project like this is something I can handle, and one that I stand to learn a lot from by taking it on as I haven't done anything quite like this before, short of making a sort of casino with a couple games. This will also lend itself as a sort of template to expand the game into an actual playable version that can exist alongside of the physical game.

The game:

From a deck of 60 (not all unique) cards, a player draws a card. The player then rolls 5 six-sided die. Any number on the die >= 4 equals a success. Cards can have a number between 2-4 denoting how many "successes" are necessary for the pass condition(s). If you do not meet the necessary number, you succumb to the "fail" condition(s). The goal of the game is to get to 10 Victory Points (VP). Every player starts with 10 Health Points (HP), and due to the effects of the cards, if they drop to 0 HP, they lose all VP and must start again from 0.
An example of these effects would be something like:
Pass: +2 VP and Opponent -2 HP
Fail: -2 HP or Lose next turn

My situation:

I have no idea how to break up the effects into something that can be interpreted properly because of how the effects are coupled the way they are. I have a few ideas that I'm toying with, but having never done this before I don't even know if I'm on the right track. The closest thing to a good idea was from a comment on a gamedev post from 6 years ago where the gentleman goes on to say:

Basically, code your game to have every single possible effect/property/stat as a different column in a table. Then have the card be the row. Adding a new card is as simple as filling out a new row.

With that in mind, I was thinking I could just ignore the distinction between pass/fail, and put every action that could occur as a column in the DB. So something like:
Name | Number | HP Up | HP Down | VP Up | VP Down | Lose Next Turn | and so on
I just don't know if that's what the man meant. However, the reason that this method kind of makes sense to me is that I don't think the computer cares what a pass/fail condition is, it just needs to know to apply that effect to the player given the proper scenario.
I hope this makes sense to you all and that I didn't leave anything pertinent out. If so, I'm happy to provide any additional information.

Looking for:

• Before Midnight
• Who Killed the Electric Car?
• Kingsglaive: Final Fantasy XV
• Mirai
• Miss Hokusai
• The Birds

All codes listed below are Canadian Google Play codes. CA GP codes are redeemable in the US. Looking for Canadian GP codes or other offers.

• 10 Cloverfield Lane (2016)
• 12 Monkeys (1995)
• 12 Years a Slave (2013)
• 127 Hours (2011)
• 13 Hours: The Secret Soldiers of Benghazi (2016)
• 2001: A Space Odyssey (1968)
• 300 (2007)
• 42 (2013)
• 8 Mile (2002)
• A Few Good Men (1992)
• About Time (2013)
• Alien (1979)
• Amadeus (Director's Cut) (1984)
• American Sniper (2015)
• Apollo 13 (1995)
• Argo (2012)
• Arrival (2016)
• Batman (1989)
• Batman Begins (2005)
• Batman Gotham Knight (2008)
• Batman v Superman: Dawn of Justice (2016)
• Batman v Superman: Dawn of Justice: Ultimate Edition (2016)
• Batman vs. Robin (2015)
• Batman: Assault on Arkham (2014)
• Batman: Under the Red Hood (2010)
• Beetlejuice (1988)
• Ben Hur (1959)
• Birdman (2014)
• Black Sails, Season 2 (2015)
• Black Sails: Season 1 (2014)
• Black Swan (2010)
• Blade Runner: The Final Cut (1982)
• Blockers (2018)
• Blumhouse's Truth Or Dare (Unrated) (2018)
• Born on the Fourth of July (1989)
• Bram Stoker's Dracula (1992)
• Bruce Almighty (2003)
• Captain Phillips (2013)
• Casino (1995)
• Cinderella Man (2005)
• Cloud Atlas (2012)
• Conan the Barbarian (1982)
• Crouching Tiger, Hidden Dragon (2001)
• DCU Justice League: Doom (2012)
• DCU: Batman: The Dark Knight Returns Deluxe Edition (2013)
• DCU: Batman: The Dark Knight Returns Part 2 (2013)
• DCU: Justice League Flashpoint Paradox (2013)
• Dawn of the Planet of the Apes (2014)
• Dazed and Confused (1993)
• Deadpool (2016)
• Die Hard (1988)
• Die Hard 2 (1990)
• Die Hard 3: With A Vengeance (1995)
• E.T. The Extra-Terrestrial (1982)
• Edward Scissorhands (1990)
• Fantastic Beasts and Where to Find Them (2016)
• Fantastic Mr. Fox (2009)
• Fast & Furious 6 - Extended Edition (2013)
• Fast Times at Ridgemont High (1982)
• Fear and Loathing in Las Vegas (1998)
• Fifty Shades of Grey (Unrated) (2015)
• Flight (2012)
• Forgetting Sarah Marshall (Unrated) (2008)
• Frankenstein (1931)
• Full Metal Jacket (1987)
• Furious 7 Extended Edition (2015)
• Get Smart (2008)
• Ghost in the Shell (2017)
• Ghostbusters (1984)
• Glory (1989)
• Godzilla (2014)
• Gone Girl (2014)
• Gone with the Wind (1939)
• Goonies, The (1985)
• Gravity (2013)
• Great Gatsby, The (2013)
• Groundhog Day (1993)
• Hail, Caesar! (2016)
• Hangover Part II, The (2011)
• Harry Potter And The Deathly Hallows - Part 2 (2011)
• Harry Potter And The Prisoner Of Azkaban (2004)
• Harry Potter and the Chamber of Secrets (2002)
• Harry Potter and the Deathly Hallows - Part 1 (2010)
• Harry Potter and the Goblet of Fire (2005)
• Harry Potter and the Half Blood Prince (2009)
• Harry Potter and the Order of the Phoenix (2007)
• Harry Potter and the Sorcerer's Stone (2001)
• Heat (1995)
• Her (2013)
• Hobbit, The: The Desolation of Smaug (Extended Edition) (2014)
• Home Alone (1990)
• How to Train Your Dragon (2010)
• How to Train Your Dragon 2 (2014)
• I Am Legend (2007)
• It (2017)
• Inception (2010)
• Independence Day (1996)
• Interstellar (2014)
• Intolerable Cruelty (2003)
• Jaws (1975)
• Jerry Maguire (1996)
• Jumanji (1995)
• Jurassic Park (1993)
• Jurassic Park III (2001)
• Jurassic World (2015)
• Justice League: Crisis On Two Earths (2009)
• Justice League: The New Frontier (2008)
• Justice League: War (2014)
• Kick-Ass 2 (2013)
• King Arthur: Legend Of The Sword (2017)
• Kingsman: The Secret Service (2015)
• Knocked Up (Unrated) (2008)
• L.A. Confidential (1997)
• Labyrinth (1986)
• Last Samurai, The (2003)
• Les Miserables (2012)
• Lethal Weapon (1987)
• Life of Pi (2012)
• Live Die Repeat: Edge of Tomorrow (2014)
• Lock, Stock and Two Smoking Barrels (1999)
• Love Actually (2003)
• Mad Max 2: The Road Warrior (1981)
• Mad Max: Fury Road (2015)
• Mamma Mia! The Movie (2008)
• Man of Steel (2013)
• Master and Commander: The Far Side of the World (2003)
• Matrix Reloaded, The (2003)
• Matrix Revolutions, The (2003)
• Men In Black (1997)
• Million Dollar Baby (2004)
• Misery (1990)
• Miss Peregrine's Home for Peculiar Children (2016)
• Mission: Impossible (1996)
• Mission: Impossible Ghost Protocol (2011)
• Monty Python's The Meaning of Life (1983)
• Mr. Smith Goes To Washington (1939)
• National Lampoon's Animal House (1978)
• Neighbors (2014)
• Noah (2014)
• Notting Hill (1999)
• Ocean's Eleven (2001)
• Pacific Rim (2013)
• Pacific Rim Uprising (2018)
• Pitch Perfect (2012)
• Prisoners (2013)
• Prometheus (2012)
• Psycho (1960)
• Ready Player One (2018)
• Rebel Without A Cause (1955)
• Revenant, The (2015)
• Rise Of The Planet of the Apes (2011)
• RoboCop (2014)
• San Andreas (2015)
• Scarface (1983)
• Schindler's List (1993)
• Scott Pilgrim vs. The World (2010)
• Selma (2015)
• Serenity (2005)
• Shawshank Redemption, The (1994)
• Sherlock Holmes: A Game of Shadows (2011)
• Shining, The (1980)
• Shrek (2001)
• Shrek 2 (2004)
• Sideways (2004)
• Skyfall (2012)
• Snow White & the Huntsman - Extended Edition (2012)
• Somewhere in Time (1980)
• Song of the Sea (2014)
• Space Jam (1996)
• Spectre (2015)
• Speed Racer (2008)
• Spider-Man (2002)
• Spider-Man 2 (2004)
• Spider-Man 3 (2007)
• Spider-Man: Homecoming (2017)
• Star Trek (2009)
• Star Trek Beyond (2016)
• Star Trek Into Darkness (2013)
• Starship Troopers (1997)
• Straight Outta Compton - Unrated Director's Cut (2015)
• Suffragette (2015)
• Taxi Driver (1976)
• The Big Lebowski (1998)
• The Big Short (2015)
• The Blind Side (2009)
• The Book Thief (2013)
• The Bourne Identity (2002)
• The Bourne Legacy (2012)
• The Bourne Supremacy (2004)
• The Bourne Ultimatum (2007)
• The Breakfast Club (1985)
• The Bridge On The River Kwai (1957)
• The Conjuring (2013)
• The Dark Knight (2008)
• The Dark Knight Rises (2012)
• The Dirty Dozen (1967)
• The Equalizer (2014)
• The Fault In Our Stars (2014)
• The Fifth Element (1997)
• The Grand Budapest Hotel (2014)
• The Green Mile (1999)
• The Hobbit: An Unexpected Journey (Extended Edition) (2013)
• The Hobbit: The Battle of the Five Armies (Extended Edition) (2014)
• The Incredible Hulk (2008)
• The Intern (2015)
• The Iron Giant: Signature Edition (1999)
• The Karate Kid (1984)
• The Land Before Time (1988)
• The Lego Movie (2014)
• The Lost World: Jurassic Park (1997)
• The Martian Extended Cut (2015)
• The Matrix (1999)
• The Mummy (1999)
• The Princess Bride (1987)
• The Professional (Extended)
• The Secret Life of Walter Mitty (2013)
• The Sound Of Music (1965)
• The Sting (1973)
• The Terminator (1984)
• The Thing (1982)
• The Wolf of Wall Street (2013)
• To Kill A Mockingbird (1962)
• Training Day (2001)
• Transformers (2007)
• Transformers: Age of Extinction (2014)
• Transformers: Dark of the Moon (2011)
• Transformers: Revenge of The Fallen (2009)
• Vertigo (1958)
• Wanted (2008)
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• Wild (2014)
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• X-Men Origins: Wolverine (2009)
• X-Men: Apocalypse (2016)
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• X-Men: The Last Stand (2006)
• X2: X-Men United (2003)

pip3 install PyQt5 

pyuic5 -x MainForm.ui -o MainForm.py 

pip install cx_freeze pip install –user cx_freeze 

# -*- coding: utf-8 -*- from cx_Freeze import setup, Executable import os options = { 'build.exe': { 'icludes': ['MainForm'], 'packages': ['pandas'], 'excludes ': excludes } } os.environ['TCL_LIBRARY'] = r'C:\Users\User3\Anaconda3\tcl\tcl8.6' os.environ['TK_LIBRARY'] = r'C:\Users\User3\Anaconda3\tcl\tk8.6' setup( name = "TextTool", version = "0.0", description = "Here write smth", options = options, executables = [Executable('TextToolS.py', targetName = ‘ThisIsName.exe’)]) 

python setup.py build 

"Missing required dependencies {0}".format(missing_dependencies)) ImportError: Missing required dependencies ['numpy'] 

File "C:\Users\User3\Anaconda3\lib\site-packages\tldextract\__init__.py", line 3, in  from .cli import __version__ File "C:\Users\User3\Anaconda3\lib\site-packages\tldextract\cli.py", line 14, in  from .tldextract import TLDExtract File "C:\Users\User3\Anaconda3\lib\site-packages\tldextract\tldextract.py", line 62, in  import idna File "C:\Users\User3\Anaconda3\lib\site-packages\idna\__init__.py", line 2, in  from .core import * File "C:\Users\User3\Anaconda3\lib\site-packages\idna\core.py", line 1, in  from . import idnadata ImportError: cannot import name 'idnadata' 

Hi, I started learning python two weeks ago at a friend's suggestion with the coronavirus downtime. I got through some of codecademy and got distracted by one of their projects - it was a couple of casino games, cointoss, drawing two cards from the deck, etc. I decided to try to create a program that ran 3 of these types of games, it worked well except it was over 500 lines of code and badly written - I was redoing stuff multiple times. My friend told me to rewrite it after learning __init__.
So I have made a class, CasinoGame with functions that get player bets and win or lose and the like. I've made a subclass, CoinToss specifically for tossing coins. My thinking in doing this is that if I add other games, they can be their own subclass and reference the main class functions of bet amount/win/lose like the CoinToss subclass.
So the code starts in the subclass, CoinToss, where it runs the bet amount function, returns to the cointoss, gets player to guess, flips a coin, directs you to win/lose screen. It works except when it returns to the win/lose section of the parent class, it has forgotten the players bet amount.
I can't figure out why, except maybe it's a function of how I've structured it with subclasses? Also, what do you think of this approach in general?
https://pastebin.com/3Qpq3wq8

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All codes listed below are Canadian Google Play codes. CA GP codes are redeemable in the US. Looking for Canadian GP codes or other offers.

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I would like to make a bot that would play Craps in an online casino for me on its own with a simple strategy to follow. I have basically no coding/programming experience whatsoever. I've found a few Youtube videos of bots playing Roulette, which is similar to what Im trying to do. Here's one for reference: https://www.youtube.com/watch?v=aK19k9l9AqA&fbclid=IwAR1G1qwdQxr4wAPt9LfDRnBXafvinwwJgPOyjlXgKP4GotkpBeBnamJLCTQ
I would just like some general guidance regarding exactly what I need to go learn to be able to make this happen. Im currently going through a beginner's course on Python, but I would like to avoid having to learn anything that's not necessary for this if possible. Thanks in advance.

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zombieland

So, I'm pretty new in programming, currently studying, and out of boredom and curiosity for new things I started building a casino program with craps, poker, etc
So I began researching to make cards and deck, which led into wanting to build a solitaire program, which went into building a visual game(I mean that it opens a window and such, think it's called a GUI?). After some research and asking teachers I was told to use GTK, so I went to the web tutorial((first one to pop up with a google search of python gtk). In class it works fine when I was testing in free time(we work on Ubuntu). But when I arrived home to began the adventure import gi wasn't working(It acts like it doesn't exist as a library). I use windows and I would prefer to not code in a VM of ubuntu.
I want to figure out to make it work on windows so it's a program I can run both on Windows and Ubuntu.
I use pycharm to program.

1. If you are a girl, then play female characters

Recently, eSports have become the most popular leisure time. Since I work in an portal Casino Now, it’s natural that my colleagues spend 80% of their time in front of the monitors: playing, working, relaxing, communicating and again working. All of us are targeting on a result. Occasionally I have some free time which transforms into this type of articles. Just a couple of days ago we celebrated receiving a PhD in Computer Science from our colleague. Since all IT people are quite specific, the evening ended with all my colleagues drinking beer and playing Dota 2, and I, as a person who had never played Dota only World of Warcraft, went from screen to the screen and met the heroes they played.
I was interested in bright graphics and the game’s dynamics, but nobody had enough patience to explain the features to me. Therefore, I decided to test it myself, please forgive me all the people I’ve played with - fully understand all your anger and negative stuff.
Since I need to get an answer here and now, the office party evening turned into a night at home and about 14 games in the turbo mode. The most difficult part for me was the pick. I had no idea, and even now I don’t understand which hero can most effectively counteract an opponent, which hero is the most useful to my team with an aura or whatever.
I tried to find matches with WoW and distribute heroes to DD, healers and tanks, but I didn’t see any direct correlation and lost the first 6 games as the result. Then I asked my colleagues to tell at least which hero to pick and things got better - random series of 4 wins with mixed fortune.
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Firs steps
Then, predictably, I received an advice like “you are a girl, so play with female heroes”. That way CM and Luna appeared in the range of my heroes.
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Who Run the World? Girls!
What is this prelude for? My internal mathematician rages: what a player cannot do and analyse by himself can be done by math!

2. How to get result you’ve never obtained

The data is the main matter an analyst is working with. It turned out that DotA2 has opendota api with fairly complete documentation [1]. The process of personal key’s obtaining is quite simple. For this you need to be a registered user of Steam and Dota 2; as I’ve already tried to play, then there were no problems with this stage :) .
The next step - the data collection actually, as it turned out. If required, you can get any data on the games that comes to your mind, everything is stored, recorded and if some player hasn’t denied access to his or her information, every data is relatively open.
Collecting process is carried out automatically, the simplest script in Python was created for this purpose at bench scale. The advantage here was dota2api library [2] I had which saved me tones of time. It’s installed in a standard way:

pip install dota2api 

A part of the program script to collect information and form the dataframe for processing is presented below full one you can find on my GitHub:

import dota2api from dota2api.src.exceptions import APIError, APITimeoutError api = dota2api.Initialise("HERE_YOUR_CODE", raw_mode=True) from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait import re import pandas as pd import numpy as np import requests import time def readystate_complete(d): return d.execute_script("return document.readyState") == "complete" url = "https://dotabuff.com/matches?game_mode=all_pick&skill_bracket=very_high_skill" driver = webdriver.Firefox() driver.get(url) WebDriverWait(driver, 30).until(readystate_complete) time.sleep(1) htmltext = driver.page_source matches = re.compile('' , re.DOTALL | re.IGNORECASE).findall(str(htmltext)) infolist = [] for index in range(len(matches)): info = api.get_match_details(match_id=int(matches[index])) infolist.append(info) print(index) df = pd.DataFrame(index = range(len(infolist))) df['radiant'] = pd.NaT df['dire'] = pd.NaT df['win'] = pd.NaT index = 0 for info in infolist: df['radiant'][index] = info['radiant_score'] df['dire'][index] = info['dire_score'] df['win'][index] = info['radiant_win'] index = index + 1 

All dota2 heroes and their portraits here.

3. Is kills-seeking justified?

I wanted to answer the question from my head and for which I didn’t get a decisive answer from my colleagues: should you try to kill the enemy’s heroes as many times as possible during the game and will it bring your team closer to the victory.
To do this, I collected actual information on finished All Pick games for matches that the system defined as 'very high skill' during the day in order to make my sample as pure as possible relative to the time period and also to rely on a high level of players to get a reliable result [4].
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Magic dotabuff
As outcome, I got data on more than 400 finished games in order to answer the question whether there’s a relationship between the final kills score and the victory. To make this, you can use a modified analysis-of-variance method. In terms of kills the sample averages by deltas are 12.8475 for winning, and -12,345 for losing respectively. Taking into account the small dispersion, the Kruskal test can indicate that these differences are significant, and therefore let’s conclude that increase in the number of kills by your team brings you closer to victory, and in general, you maximize winning chances with a domination of 12 kills.
As the mini-study presented, you can find the situations when your team may win with a negative predominance in the number of kills, but this’s a rather rare occurrence.

4. Which heroes are undeservingly banned

The second assumption I wanted to check, is it true that players ban basically the same heroes who spend a lot of resources and are obviously strong; rarely - those who do not fit into the intended game strategy. According to the statistics I’ve collected, it turns out that the following five heroes are the most banned:
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Anti-Mage - 6.86%, Viper - 5.31%, Phantom Assassin - 5.29%, Riki - 5.09%, Lifestealer - 4.42%
At the moment after the last patch, Phantom Assassin is a very strong character inherently, but Viper can stand against her, so it’s logical to find this pair in a banned list, with almost equal percentage. Riki is a hate aggregator of many players. So the comments about this hero are needless :). Anti-Mage with the smart development can break almost any game.
In general, these heroes can win the game solo, if they have enough time to farm gold and buy the necessary artifacts. But they all need time to earn gold and buy the essential artifacts. If they lead by total scores and items, they are able to kill all enemy heroes.
So let’s conclude my small research now, but I need your opinion about evaluation of the results, as a good data scientist and a terrible player who tries to explore the topic in the only way possible ;)

Sources

1. https://docs.opendota.com/#
2. https://dota2api.readthedocs.io/en/latest/
3. https://media.readthedocs.org/pdf/dota2api/latest/dota2api.pdf
4. https://www.dotabuff.com/matches?game_mode=all_pick&skill_bracket=very_high_skill
5. Casino Now – only casino games no Dota 2
6. My GitHub https://github.com/TinaWard
7. E-mail: [[email protected]](mailto:[email protected])

PS: Need your opinion and fair disadvantages of my first steps in this branch

This is my third list for this sub. I hope you enjoy it.
ART THIEVES, FORGERS, SMUGGLERS.
The Art of the Steal by Christopher Mason. A true story about the auction houses Sotheby’s and Christie’s and how they conspired to cheat their clients out of millions of dollars.
The Billionaire’s Vinegar: The Mystery of the World’s Most Expensive Bottle of Wine by Benjamin Wallace. The most expensive bottle of wine and the conflicting reports about its history. This is a book that would enchant wine conessi… conues… lovers.
The Gardner Heist: The True Story of the World’s Largest Unsolved Art Theft by Ulrich Boser. Author Ulrich Boser looks at the unsolved art theft case of Boston’s Isabella Stewart Gardner Museum.
The Golden Spruce: A True Story of Myth, Madness, and Greed by John Vaillant. Grant Hadwin, a logger-turned-activist, fells a unique 165 feet Sitka spruce in an act of protest. John Vaillant takes the readers into the heart of North America’s last great forest to find out why he did that.
Hitler’s Art Thief: Hildebrand Gurlitt, the Nazis, and the Looting of Europe’s Treasures by Susan Ronald. Hildebrand Gurlitt was an art thief, or as he put it himself, an ‘official dealer’ for Hitler and Goebbels. But he stole from the Jews and Nazis alike. This book was published after his hoard was recently (2013) discovered which created an international furor.
The Irish Game: A True Story of Crime and Art by Matthew Hart. This book is about the art theft at Ireland’s Russborough House in 1986. The suspect, a gangster named Martin Cahill, played cat and mouse with police for years.
The Island of Lost Maps: A True Story of Cartographic Crime by Miles Harvey. When you think about stealing some valuable art, do maps come to your mind? Then this book is for you. Gilbert Joseph Bland Jr. stole numerous centuries-old maps from research libraries in US and Canada.
I Was Vermeer: The Rise and Fall of the Twentieth Century’s Greatest Forger by Frank Wynne. Han van Meegeren became so much adapt at forging Vermeer paintings that it is said that even professional experts would find it difficult to point out his works from the originals. He earned more than $50 million by selling his forgeries – and he even swindled the Nazis.
The Lizard King: The True Crimes and Passions of the World’s Greatest Reptile Smugglers by Bryan Christy. Reptile smuggling is a big “business”. The author, a federal agent, suspected a reptile business owner of being a major smuggler and he started investigating. It was not as simple as it sounds because at one point he was chased by a mother alligator and even bitten by a python.
The Lost Chalice: The Epic Hunt for a Priceless Masterpiece by Vernon Silver. A 2500 year old cup made by the Greek master Euphronios which depicted the fall of Troy gets stolen and sold (along with 3 other such vessels). Then due to the questionable practice of some art dealers, no one can track down its last known owner.
The Lost Painting by Jonathan Harr. With nothing better to do, the author embarks on a journey to discover a Caravaggio painting which was lost to time two hundred years ago.
The Man Who Loved Books Too Much: The True Story of a Thief, a Detective, and a World of Literary Obsession by Allison Hoover Bartlett. John Charles Gilkey stole rare books not because he wanted to make profit as most thieves do, but because he loved books. I guess if you want to call yourself a book-reader but don’t actually want to say… read a book, you could just steal them and show them off to your friends. But who are we to question the wisdom of “booklovers”, right?
The Orchid Thief: A True Story of Beauty and Obsession by Susan Orlean. If you thought that stealing maps is a weird “job” to have, how about stealing a rare breed of flower? We all know about the Tulipomania that gripped Netherlands in the 1630s. But this is a modern tale, and the book is perhaps one of the most popular ones on this list.
Priceless: How I Went Undercover to Rescue the World’s Stolen Treasures by Robert K. Wittman, John Shiffman. This book is about Robert K. Wittman, FBI’s founder of the Art Crime Team and his undercover missions around the world to rescue various pieces of stolen art.
Provenance: How a Con Man and a Forger Rewrote the History of Modern Art by Laney Salisbury. You could have a Jackson Pollock lying around in your basement, but if you can’t prove that the piece is real, you might as well use it as a table cloth (I might have exaggerated there a bit, but you get the point). John Myatt, a struggling artist, and John Drewe, a conman who knew the importance of Provenance in the art world, duped many people and museums by creating a fake paper trial that seemed to prove that the art was a real thing and not a forgery. So much so that the experts believe that there might still be some fake paintings created by Myatt displayed in prominent places as the real thing.
The Rescue Artist: A True Story of Art, Thieves, and the Hunt for a Missing Masterpiece by Edward Dolnick. Dolnick writes about the theft of Edvard Munch’s The Scream from the National Gallery in Oslo in 1994 and the subsequent investigation that took place to track it down.
Selling Hitler by Robert Harris In mid-eighties, Hitler’s diaries were “discovered” and many experts fell for the con. The backpeddling many did when it was revealed that the diaries were not real is really amusing to read about.
Shell Games: Rogues, Smugglers, and the Hunt for Nature’s Bounty by Craig Welch. This book is about the poaching of a larger-than-life clam – a Geoduck, to be precise, and the subsequent chase from the wildlife police to nab the poacher.
Stealing History: Tomb Raiders, Smugglers and the Looting of the Ancient World by Roger Atwood. This book provides a sweeping history of thefts of various priceless antiques.
Stealing the Mystic Lamb: The True Story of the World’s Most Coveted Masterpiece by Noah Charney. The twelve panel oil-painting of the Mystic Lamb is the most frequently stolen artwork in the world. It was stolen 13 times. One wonders whether they could have guarded it a little better after the first couple of times, you know. Anyway, this book describes the events of each theft.
Stolen World: A Tale of Reptiles, Smugglers, and Skulduggery by Jennie Erin Smith. Two reptile smugglers compete against each other to conquer the illegal trade for themselves. The funny thing is, the Zoos stood against them in the courts, but they had no problem buying rare fauna from the two smugglers, sometimes simultaneously.
Tangled Vines: Greed, Murder, Obsession, and an Arsonist in the Vineyards of California by Frances Dinkelspiel. A massive fire destroyed wines worth $250 million in a California warehouse, making it the largest destruction of wine in history. It was done by a conman named Mark Anderson, who rented storage space at the same warehouse. This book tells why he did that and also goes into the surprisingly bloody history of wine trade in California. (reads well with cranberry juice).
Vanished Smile: The Mysterious Theft of Mona Lisa by R. A. Scotti. On August 21, 1911, a man walked out of the Louvre with the Mona Lisa tucked inside his coat (should have painted it bigger, eh Vinci?). I am not going to spoil this book for anyone. Read it if you want to know whether Mona Lisa was recovered or was lost to time forever.
CARTELS, GANGS, UNDERWORLD.
American Desperado: My Life --- From Mafia Soldier to Cocaine Cowboy to Secret Government Asset by Jon Roberts, Evan Wright. Jon Roberts, who starred in documentary Cocaine Cowboys tells his story to the journalist Evan Wright in this book. Roberts smuggled drugs to Miami for the Medellin Cartel (which will feature many times in this category).
At the Devil’s Table: The Untold Story of the Insider Who Brought Down the Cali Cartel by William C. Rempel. This is Narcos Season 3, basically. Remember the family guy who gets involved with the Cali Cartel and mops around for the whole season even though he had an unbelievably hot wife who was clearly out of his league? That character was based on Rempel. And if I must say so, the book is more compelling than that season of Narcos. Nothing can beat Agent Pena, though.
Black Mass: The True Story of an Unholy Alliance Between the FBI and the Irish Mob by Dick Lehr, Gerard O’Neill. The story of James ‘Whitey’ Bulger – the head of the Irish Mob in Boston - who became an informant for the FBI and chaos ensued. Depp plays Whitey Bulger in the movie adaptation with a soggy tortilla glued to his face as make-up.
Blow: How a Small -Town Bay Made $100 Million with the Medellin Cocaine Cartel and Lost it All by Bruce Porter. Another book where Johnny Depp plays the main character in the movie adaptation. This book is about George Jung, who after meeting Carlos Lehder, started selling cocaine in the United States through Medellin Cartel.
Cocaine Diaries: A Venezuelan Prison Nightmare by Paul Keany, Jeff Farrell. Paul Keany was caught smuggling half-a-million euro worth of cocaine into Venezuela. He was sentenced to 8 years in prison. Now, prisons everywhere aren’t exactly fun places to be, but Los Teques where Keany was incarcerated was nothing short of hell on earth.
Confessions of a Yakuza by Junichi Saga. Junichi Saga was a doctor by profession. A patient, who was a former Yakuza, recounted his life story before him. Saga recorded the conversations, and broke doctor-patient confidentiality by writing this book.
Doctor Dealer: The Rise and Fall of an All-American Boy and His Multimillion-Dollar Cocaine Empire by Mark Bowden. A dentist named Larry Lavin builds the foundation for a cocaine empire in the United States.
Donnie Brasco by Joseph D. Pistone, Richard Woodley. Joseph D. Pistone, an FBI agent, goes undercover for six years to infiltrate the Mafia. Do watch the movie too, it is Depp’s last movie without weird make-up.
El Narco: Inside Mexico’s Criminal Insurgency by Ioan Grillo. Journalist Ioan Grillo has written, arguably, the definitive book on Mexican drug cartels. Why he is still alive is anybody’s guess.
Gang Leader for a Day: A Rogue Sociologist Takes to the Streets by Sudhir Venkatesh. Venkatesh, who was a sociology grad student at the time, infiltrated one of Chicago’s most notorious gangs. This is one of a kind type of book.
Gomorrah by Roberto Saviano. This book is about the Italian Crime Network called Camorra in Naples, Italy. Due to his intensive investigative journalism which exposed lot of insider information about the crime syndicate, author Saviano still has to live under constant police protection.
The Good Mothers: The True Story of the Women Who Took on the World’s Most Powerful Mafia by Alex Perry. This is a recent book, where the author Alex Perry looks inside the ruthless Calabrian Mafia of Italy and three women who want to save their own and their children’s lives. This is a fascinating and courageous look into an aspect of the Mafia which is often overlooked by most.
Hunting El Chapo: The Inside Story of the American Lawman Who Captured the World’s Most Wanted Drug-Lord by Andrew Hogan, Douglas Century. Remember when Joaquin Guzman was caught for the first time and then he escaped and then he was caught again for good? Yes? Then read this one. But this book only focuses on the operation that nabbed him for the first time. I must warn you though – the author, Andrew Hogan – is really really in love with himself and it seeps into his writing.
The Infiltrator: My Secret Life Inside the Dirty Banks Behind Pablo Escobar’s Medellin Cartel by Robert Mazur. Mazur went undercover and actually became a money launderer for Pablo Escobar. This book is more about how bankers actively helped to launder the drug money and how Mazur helped to bring them down.
Killing Pablo: The Hunt for the World’s Greatest Outlaw by Mark Bowden. This is the best book about tracking and eventually killing Pablo Escobar. And as Walter Jr. pointed out to Walter White, it focuses on the good guys, not the bad ones. Good companion book to Pablo Escobar: My Father written by Escobar’s son.
Marching Powder: A True Story of Friendship, Cocaine, and South America’s Strangest Jail by Rusty Young. The author stays inside San Pedro jail for months with a drug smuggler to chronicle his tale. This is one of the most popular books written on cocaine smuggling.
McMafia: A Journey Through the Global Criminal Underworld by Misha Glenny. This is a thorough investigation into organized crime worldwide which accounts for 1/5th of total GDP of the world. This book would please readers who are into extensively researched true-crime history books, not so much a casual reader (inb4 - I just read 5 pages of McMafia and wow… just wow).
Mr. Blue: Memoirs of a Renegade by Edward Bunker. Edward Bunker had had an eventful life. Incarceration for two and a half decades, being on FBI’s most wanted list, and being a crime novelist. This is his autobiography.
Mr. Nice by Howard Marks. Howard Marks started dealing dope in small quantities while he was studying at Oxford – as you do – and then eventually graduated to dealing it in tons (what the hell was he studying there? Oh, philosophy). This is his fascinating story.
Narcoland: The Mexican Drug Lords and Their Godfathers by Anabel Hernandez. Yet another book that resulted in the author getting death threats. This proves the old cliché true that the pen is mightier than the sword; until the sword comes down and cuts your neck. That’s why the author has to live under constant protection.
Narconomics: How to Run a Drug Cartel by Tom Wainwright. Any aspiring drug lords should read this instruction manual. Just kidding. Wainwright goes deep into the functioning of various drug cartels and at the end also comes up with a plan to defeat them.
News of a Kidnapping by Gabriel Garcia Marquez. Little known author tries his hand at true-crime. Pablo Escobar kidnapped 10 journalists when he was on the run from the authorities. This book revolves around that event.
The Night it Rained Guns: Unravelling the Purulia Arms Drop Conspiracy by Chandan Nandy. On a December night in 1995, someone airdropped three weapons-laden wooden pallets over Purulia, West Bengal. Who did it and why? This book tells the story about one of India’s greatest ever security breaches.
No Angel: My Undercover Journey to the Inner Circle of the Hells Angels by Jay Dobyns, Nils Johnson-Shelton. Dobyns was the first federal agent to infiltrate the inner circle of the notorious biker gang. This is his story.
Pablo Escobar: My Father by Juan Pablo Escobar. Juan Pablo is an architect and lives and practices his trade in Argentina. Even though Pablo was his father, Juan does not try to justify his actions even a little bit. This is one of the best books written on Pablo Escobar.
The Snakehead: An Epic Tale of the Chinatown Underworld and the American Dream by Patrick Radden Keefe. Sister Ping, leader of the Chinese underworld in the US, earned $40 million a year smuggling people from China. Told from the viewpoints of gangsters, investigators, and poor immigrants alike, this book provides a unique window into the world of human smuggling.
Scores: How I Opened the Hottest Strip Club in New York City, Was Extorted out of Millions by the Gambino Family, and Became One of the Most Successful Mafia Informants in FBI History by Michael D. Blutrich. I am disappointed that they went with FBI instead of Federal Bureau of Investigation in the title. Should have made it longer. Scores: How I Opened the Hottest Strip Club in New York City on the 34th Street Just Opposite the Starbucks, Was Extorted out of 4.54 Millions and 55 Cents Plus Taxes by the Gambino Family, and Became One of the Most Successful Mafia Informants in Federal Bureau of Investigation History by Michael Dostoyevsky Blutrich
Tokyo Vice: An American Reporter on the Police Beat in Japan by Jake Adelstein. The author, working as a reporter in Japan, writes about the seedy underbelly of crime in the country.
The Untouchables by Eliot Ness, Oscar Fraley. Where’s Nitty? He’s in the car. Great movie. How Eliot Ness and his team started the downward spiral in criminal career of Al Capone. A somewhat embellished account was also written in the book, but nonetheless, it is a gripping tale.
Veerappan: Chasing the Brigand by K. Vijay Kumar. Koose Muniswamy Veerappan was the last big outlaw of India. A sandalwood smuggler who lived in the forest to evade the police, Veerappan killed hundreds of policemen and civilians. K. Vijay Kumar, the officer who led the task force that ultimately brought down the brigand, is the author of this book.
Wiseguy: Life in a Mafia Family by Nicholas Pileggi. I’m funny how, I mean funny like I’m a clown, I amuse you? Goodfellas is perhaps the best Mafia movie ever made, so read it in his own words why Pileggi might fold under questioning.
Zero Zero Zero by Roberto Saviano, Virginia Jewiss. This Saviano guy must have a death wish. But as a handsome list-writer once eloquently said, “If bitten already by a King Cobra, what difference it makes if you French kiss a Black Mamba?” Since the publication of his book on the Italian crime syndicate, Saviano has to live under constant police protection. So to make sure they don’t slack off, he wrote a book on Cocaine Cartel, this time acquiring lots of admirers in Latin America.
CONMEN, IMPOSTORS.
The Art of Making Money: The Story of a Master Counterfeiter by Jason Kersten. The Art of making money is to make other people work for you; not the other way round. But more scrupulous method of making money would be to counterfeit it. Art Williams did exactly that.
Catch Me If You Can: The True Story of a Real Fake by Frank W. Abagnale. Maybe the most popular book on this list, Abagnale Jr.’s book is not to be missed even if you have watched the movie starring the actor who had sex with a bear (no, not Tormund).
Charlatan: America’s Most Dangerous Huckster, the Man Who Pursued Him, and the Age of Flimflam by Pope Brock. One “Dr.” John R. Brinkley, set-up a medical practice to surgically insert goat glands in human testicles to restore their fading sex drive. I am not joking, this happened.
Conman: A Master Swindler’s Own Story by J. R. Weil, W. T. Brannon. Known as “Yellow Kid” Weil was a master conman, who duped public of more than $8 million 100 years ago. He’s called by many as the greatest conman of all time (second to the companies that charge service fees on the internet, of course).
Eyeing the Flash: The Making of a Carnival Con Artist by Peter Fenton. Fenton was a math student until he turned into a carnival con artist. How many bananas he stole from the monkeys? How many bales of potatoes from the elephants? Read this book to find out.
Inconvenient People: Lunacy, Liberty and the Mad-Doctors in Victorian England by Sarah Wise. If you have any annoying friends who romanticize the Victorian era and say that they would have liked to live there, tell them to read this book and get back to you after that.
The Man in the Rockefeller Suit: The Astonishing Rise and Spectacular Fall of a Serial Impostor by Mark Seal. This is the true story of one of the greatest impostors of all time. The man could have impersonated a chihuahua if he wanted to.
The Man Who Sold the Eiffel Tower by James Francis Johnson. Viktor Lustig sold the Eiffel Tower not once, but twice. I still have the relevant papers that my great grandfather left us. I’m going to shift it to Nauru or Detroit.
The Mark Inside: A Perfect Swindle, a Cunning Revenge, and a Small History of the Big Con by Amy Reading. This is a revenge story of a man who sets out to con the conmen who conned him twice. Unfortunately, the book could have been written better, but it is still worth having a look at.
Playing Dead: A Journey Through the World of Death Fraud by Elizabeth Greenwood. I once tried playing dead in a meeting when asked about the progress on my project. But there are people who fake their death for lesser gains, such as insurance fraud and debt fraud. Author Elizabeth Greenwood journeys into the dark world of death fraud to find out more.
Ponzi’s Scheme: The True Story of a Financial Legend by Mitchell Zuckoff. Charles Ponzi was so successful in duping people that we have immortalized his name by terming such swindles after him. At one point, he was raking in $2 millions a week. How many weeks would it take you to earn 2 million dollars at your current income? (sorry, that got heavy fast. It hurt me too).
A Rum Affair: A True Story of Botanical Fraud by Karl Sabbagh. One botanist claimed that some species of plants on the islands south of Scotland survived the last Ice Age. Another botanist doubted him. This might not sound like a big fraud if you are not into plants, but believe me when I say that the 2 botanists who just read this threw their phones away in disgust and disbelief.
Starvation Heights: A True Story of Murder and Malice in the Woods of the Pacific Northwest by Gregg Olsen. A quack doctor named Linda Hazard developed a technique called “fasting treatment”. The story focuses on two sisters who fell for the quack’s assurances that they would be cured of all the diseases - real or imagined. This book is quite infuriating to read. Hazard was a despicable human being.
Swindled: From Poison Sweets to Counterfeit Coffee – The Dark History of the Food Cheats by Bee Wilson. Wilson looks from ancient Rome to current times for food frauds. And she finds them aplenty (companion read - while having a nice snack).
A Treasury of Deception: Liars, Misleaders, Hoodwinkers, and the Extraordinary True Stories of History’s Greatest Hoaxes, Fakes and Frauds by Michael Farquhar. This is a good bathroom book about fakers through history.
The Woman Who Wasn’t There: The True Story of an Incredible Deception by Robin Gaby Fisher, Angelo J. Guglielmo Jr. Have you heard about Tania Head? If you haven’t, I urge you to skip this book. Tania Head duped survivors of 9/11 and the whole world alike into believing that she was one of the survivors from the South Tower of World Trade Center. I feel enraged just by typing this. So just read this book if you want to know more about her. There are a couple of documentaries out there too.
HACKERS.
The Cuckoo’s Egg: Tracking a Spy Through the Maze of Computer Espionage by Clifford Stoll. Long before internet became a place for cat memes, Cliff Stoll was working at a research lab as a systems manager. One day he found 75 cents of accounting error. This made him alert that an unauthorized person was logging into the system. Thus began his lone effort of tracking down the spy.
Exploding the Phone: The Untold Story of the Teenagers and Outlaws Who Hacked Ma Bell by Phil Lapsley. Before there was internet, or even personal computers, mobsters and teenagers hacked the telephone system.
Ghost in the Wires: My Adventures as the World’s Most Wanted Hacker by Kevin D. Mitnick, William L. Simon. The book tells the story of one of the best hackers of all times, Kevin Mitnick, and his cat and mouse game with the FBI.
The Spider Network: The Wild Story of a Math Genius, a Gang of Backstabbing Bankers, and One of the Greatest Scams in Financial History by David Enrich. A group of bankers manipulated daily interest rates just a fraction here and there on loans worth trillions of dollars and made some serious cash for themselves. This book also rocks one of the ugliest book covers of 2017.
MUTINEERS, PIRATES, OUTLAWS.
Batavia’s Graveyard: The True Story of the Mad Heretic Who Led History’s Bloodiest Mutiny by Mike Dash. I was torn whether to include this book in the list as the history of Batavia’s mutiny is littered with corpses. But as the focus is on the mutiny, I am going to keep it here. This event could give the Medusa’s raft a run for its money.
The Floating Brothel: The Extraordinary True Story of an Eighteenth-Century Ship and its Cargo of Female Convicts by Sian Rees. Poor girls in England, most of who were petty thieves, were given a chance to sail to Botany Bay in Australia to create a new life for themselves and the male population of New South Wales. But the real story happened at the sea on board the ship Lady Julian.
The Last Outlaws: The Lives and Legends of Butch Cassidy and the Sundance Kid by Thom Hatch. Butch: What happened to the old bank? It was beautiful. Guard: People kept robbing it. Butch: Small price to pay for beauty. The book might not be full of memorable dialogues as the movie, but if you want to know more about the legendary outlaws, give this book a chance.
Lost Paradise: From Mutiny on the Bounty to a Modern-Day Legacy of Sexual Mayhem, the Dark Secrets of Pitcairn Island Revealed by Kathy Marks. Mutiny of the Bounty is perhaps the most infamous of mutinies that occurred at sea. Even after the event and hundreds of years later, the descendants of Fletcher Christian and his sailors continue to live a crime-filled life like their forefathers on Pitcairn Island.
The Pirate Hunter: The True Story of Captain Kidd by Richard Zacks. This book will change your perception of Captain Kidd, that’s for sure.
To Hell on a Fast Horse: Billy the Kid, Pat Garrett, and the Epic Chase to Justice in the Old West by Mark Lee Gardner. This non-fiction book concentrates on Sheriff Pat Garrett’s chase in pursuit of the bandit Billy the Kid. If you like reading westerns, this one and The Last Outlaws are not to be missed.
Under the Black Flag: The Romance and the Reality of Life Among the Pirates by David Cordingly. Cordingly takes a look at life among the pirates. Some of your romanticism would be squashed, but there were some good things about being a pirate too. Life among the pirates was neither black nor white; it was beige.
POLITICAL CRIMES
Arms and the Dudes: How Three Stoners from Miami Beach Became the Most Unlikely Gunrunners in History by Guy Lawson. Three kids won a 300 million dollar contract – legitimately – I must add, to supply ammunition to the Afghanistan military. They had no money, but still they almost pulled it off. I don’t know, read this book, and if you’re a US citizen, visit the websites mentioned in the book, see if they are still doing business the same way, and if you want, you can become a supplier to the army too. Don’t forget to send me my cut (the movie War Dogs was trash).
The Brother: The Untold Story of Atomic Spy David Greenglass and How He Sent His Sister, Ethel Rosenberg, to the Electric Chair by Sam Roberts. Even if you’re not a United Statian of American (USians?), chances are you might have read at least something about the execution of the Rosenberg couple as spies. This is probably the best book about the subject.
Curveball: Spies, Lies, and the Man Behind Them: How America Went to War in Iraq by Bob Drogin. How many weapons of mass destruction were found in Iraq? If your answer is “what’s that?” then congratulations, you’re not unlike one of your former presidents. Who told the USians that there were WMDs with Saddam? Curveball.
The Confessions of an Economic Hitman by John Perkins. Perkins was an economic hitman, who at the instruction of US intelligence agencies and giant corporations cajoled and blackmailed other country leaders to serve US foreign policy and award lucrative contracts to American businesses (now that job has been transferred to the White House).
A Kim Jong – Il Production: The Extraordinary True Story of a Kidnapped Filmmaker, His Star Actress, and a Young Dictator’s Rise to Power by Paul Fischer. Say you want to make a big movie for your country. But there is no one in your country who can handle such an ambitious project. What do you do? Hire some talent from other country? But you’re Kim Jong – Il. Oh. Then you just kidnap them, and force them to make the glorious movie of yours. Read this book. It’s pretty absurd (the movie they eventually made for Kim was utter shit. The Room would look like Gone with the Wind compared to that abomination).
The Nuclear Jihadist: The True Story of the Man Who Sold the World’s Most Dangerous Secrets… And How We Could Have Stopped Him by Douglas Frantz, Catherine Collins. One day a man Abdul Qadeer Khan caught a plane to Pakistan from Europe. With him he had blueprints of the mechanism that could prepare weapons grade Uranium that he had stolen from the lab he worked at in the last 3 years. He would make the first atomic bomb for Pakistan with that information. Then he sold the tech to stable countries like Iran, North Korea and Libya. How can someone get away with stealing such powerful information? Read this book to find out.
Operation Paperclip: The Secret Intelligence Program that Brought Nazi Scientists to America by Annie Jacobsen. This is a pretty controversial topic that has only gained wider acknowledgement in recent decades. Read this book to know in detail how bogus the claims of justice being served to the perpetrators of the Holocaust were. Basically, if you were a scientist, you were very likely to be acquitted from any War Crimes allegations.
The Real Odessa: How Peron Brought the Nazi War Criminals to Argentina by Uki Goni. How did most of the Nazis who managed to escape from Germany ended up in South America? Read about the collusion of various entities and institutions that made it possible in this book.
The Spy Who Couldn’t Spell: A Dyslexic Traitor, an Unbreakable Code, and the FBI’s Hunt for America’s Stolen Secrets by Yudhijit Bhattacharjee. This is the true story of a mole in FBI, how he attempted to sell classified information and how FBI tried to track him down.
ROBBERIES, HEISTS.
Ballad of the Whiskey Robber: A True Story of Bank Heists, Ice Hockey, Transylvanian Pelt Smuggling, Moonlighting Detectives, and Broken Hearts by Julian Rubinstein. If there is one thief in this list that I admire, it is without a doubt, Attila Ambrus. Ambrus was known as a gentleman thief, who would ask – no, request - the teller to fill his bag with money. If you read this book, it would be hard for you to dislike Attila even though he was a thief.
Confessions of a Master Jewel Thief by Bill Mason, Lee Gruenfeld. Bill Mason looted many famous personalities in his long career as a jewel thief. In this book he tells how he did it.
The Feather Thief: Beauty, Obsession, and the Natural History Heist of the Century by Kirk W. Johnson. Do you know there are people whose hobby is fly tying? The feathery thing that you attach to the hook to catch fish? But these are not your average fly tiers. They use feathers from exotic birds to create different ties whose total cost could run in thousands of dollars. Moreover, many of the most coveted birds are either protected or extinct. So one night a man named Edwin Rist broke into Tring museum and took hundreds of bird skins, some that belonged to Darwin, to fuel his hobby and even getting rich by selling precious feathers to other tiers. Don’t miss this book.
Finders Keepers: The Story of a Man Who Found $1 Million by Mark Bowden. Who hasn’t dreamt of finding a big bag of money? It couldn’t have happened to a more clueless person. Joey Coyle, to be exact.
Flawless: Inside the Largest Diamond Heist in History by Scott Andrew Selby. The theft from Antwerp that still raises many questions.
Go Down Together: The True, Untold Story of Bonnie and Clyde by Jeff Guinn. The truth is not that romantic.
The Great Pearl Heist: London’s Greatest Thief and Scotland Yard’s Hunt for the World’s Most Valuable Necklace by Molly Caldwell Crosby. Pearls, more valuable than the Hope Diamond, are stolen by thieves in Edwardian London.
The Great Train Robbery by Michael Crichton. My favorite Crichton book. Stealing gold from a running train! Watch the movie too that stars the great Sean Connery.
Heist: The Oddball Crew Behind the $17 Million Loomis Fargo Theft by Jeff Diamant. How hard is it to steal 17 million dollars? As far as these thieves were concerned, not much. Getting away with it was another thing altogether. The movie was pretty average, I think.
Into the Blast: The True Story of DB Cooper by Skipp Porteous, Robert Blevins. Is Tommy Wiseau DB Cooper? If only that was true. Read the book but don’t expect any clear-cut answers (I think most people would agree that the clumsy bastard died after he jumped from the plane).
A Pickpocket’s Tale: The Underworld of Nineteenth-Century New York by Timothy J. Gilfoyle. True story of George Appo, a pickpocket living in nineteenth-century New York.
Sex on the Moon: The Amazing Story Behind the Most Audacious Heist in History by Ben Mezrich. A guy steals moon rocks from NASA and then had sex on them with his girlfriend (how the hell is that comfortable?)
The Stranger in the Woods: The Extraordinary Story of the Last True Hermit by Michael Finkel. The last hermit was not a hermit in true sense. He didn’t rely on land to feed himself. He stole from the nearby community. Before someone says I have spoiled the book for them, it is revealed in the first chapter that he is a thief.
WHITE COLLAR CRIMES.
Bad Blood: Secrets and Lies in a Silicon Valley Startup by John Carreyrou. The Steve Jobs impersonator, Elizabeth Holmes, CEO of Theranos, and her old boyfriend, Sunny, are some of the most vile people that I have come across while reading about corporate crime. This is one of the best books that I have read this year.
Den of Thieves by James B. Stewart. This is probably the most famous book written about those Wall Street scoundrels.
Empire of Deception: The Incredible Story of a Master Swindler Who Seduced a City and Captivated the Nation by Dean Jobb. The story of Leo Koretz, who created one of the longest running Ponzi schemes in the 1920s Chicago.
The Informant by Kurt Eichenwald. Mark Whitacre becomes an FBI informant against his own corporation. But as time goes by, the FBI starts to realize that Mark is not as truthful as he seems to be, and he has his own agenda (they made a movie with Matt Damon).
Octopus: Sam Israel, the Secret Market, and Wall Street’s Wildest Con by Guy Lawson. Sam Israel’s hedge fund was making heavy losses. So naturally, he fabricated fake returns to fool the investors. Then he heard about a secret market from where he could convert his millions into billions. That’s how he lost the last 150 million dollars of his invertors’ money.
Red Notice: A True Story of High Finance, Murder, and One Man’s Fight for Justice by Bill Browder. Only thing you are going to learn from this book is don’t do business in Russia.
The Smartest Guys in the Room: The Amazing Rise and Scandalous Fall of Enron by Bethany McLean, Peter Elkind. Bethany McLean asked one simple question in her article when everyone else was going gaga over Enron. “What does Enron actually do?” Nobody knew. Even Enron couldn’t give a specific answer. They were not just committing accounting fraud; they were looting ordinary people by creating fake shortage of electricity and driving the prices high. The documentary is worth watching too.
Stung: The Incredible Obsession of Brian Molony by Gary Stephen Ross. The guy Molony debited huge amounts of money from the bank he worked at to feed his gambling addiction. Oh, and he took the money in other people’s name who held huge accounts there. This is one of the best true-crime books that I have ever read.
Three Cups of Deceit: How Greg Mortenson, Humanitarian Hero, Lost His Way by Jon Krakauer. You know the man who builds schools in remote regions of Afghanistan and Pakistan? Great guy, right? Krakauer doesn’t think so. And he’ll tell you why in this short book.
The Wizard of Lies: Bernie Madoff and the Death of Trust by Diana B. Henriques. 65 billion dollars. That’s the amount that Madoff swindled from people through decades of fraud. I think I can buy a small island country with this much money. The idiot is in jail though. I don’t know, maybe after a couple of billion, skip to a country with no extradition treaty and live the rest of your life without the fear of being getting caught? But then, these types of people don’t know when to stop.
OTHER.
American Roulette: How I Turned the Odds Upside Down --- My Wild Twenty-Five-Year Ride Ripping Off World’s Casinos by Richard Marcus. The guy ripped-off casinos all over the world by stealing gaming chips while maintaining an illusion of a highroller to lend his eventual take required legitimacy.
Breaking the Rock: The Great Escape from Alcatraz by Jolene Babyak. Written by the daughter of a guard at Alcatraz, this book tells the story of the infamous escape from the prison island. Don’t forget to watch the classic movie too.
Bringing Down the House: The Inside Story of Six MIT Students Who Took Vegas for Millions by Ben Mezrich. The movie 21 was based on this book. But if you want to know the real story, without the whitewashing, you have no choice but to read this book.
Disposable People: New Slavery in the Global Economy by Kevin Bales. Kevin Bales estimates that there are 27 million people worldwide who live as slaves, right now. And yes, slavery still exists in United States of America in case you were wondering. This is a depressing book.
Fish: A Memoir of a Boy in a Man’s Prison by T. J. Parsell. Rape in prison is absolutely overlooked almost everywhere. Read this book if you can endure reading about helplessness page after page.
Hotel K: The Shocking Inside Story of Bali’s Most Notorious Jail by Kathryn Bonella. Prison systems in developing world differ from the developed one in one regard that the guards and officials there are more corrupt and hence are likely to look the other way when something bad is going down amongst the inmates. Kerobokan Jail in Bali is one of the worst among those.
The Hot House: Life Inside Leavenworth Prison by Pete Earley. The author interviewed inmates from Leavenworth Prison for two years. The book is the result of that labor.
The Laundrymen: Inside the World’s Third Largest Business by Jeffrey Robinson. I have a perfect idea to launder money. Laser Tag! Robinson looks at the third largest business in the world. The book was published a while ago, but still hasn’t lost most of its relevancy.
Missoula: Rape and the Justice System in a College Town by Jon Krakauer. Jon releases the Krakauer on one of the most relevant subjects of today. Rapes in colleges. These institutes would do anything to sweep things under the rug to maintain the illusion of clean image in the public eye.
Newjack: Guarding Sing Sing by Ted Conover. The author worked as a prison guard for a year at one of the most notorious prisons of the United States. This book is about his experience.