
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
Brendan Burns
4.3 on Amazon
9 HN comments

High Performance Python: Practical Performant Programming for Humans
Micha Gorelick and Ian Ozsvald
4.8 on Amazon
9 HN comments

JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language
David Flanagan
4.7 on Amazon
9 HN comments

Kubernetes in Action
Marko Luksa
4.7 on Amazon
8 HN comments

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz, Timothy Andrés Pabon, et al.
4.4 on Amazon
8 HN comments

Mathematics for Machine Learning
Marc Peter Deisenroth
4.7 on Amazon
7 HN comments

The Hundred-Page Machine Learning Book
Andriy Burkov
4.6 on Amazon
7 HN comments

Grokking Deep Learning
Andrew Trask
4.5 on Amazon
7 HN comments

Eating Animals
Jonathan Safran Foer
4.7 on Amazon
7 HN comments

Fundamentals of Database Systems
Ramez Elmasri and Shamkant Navathe
4.3 on Amazon
7 HN comments

Software Design for Flexibility: How to Avoid Programming Yourself into a Corner
Chris Hanson and Gerald Jay Sussman
4.3 on Amazon
7 HN comments

Invent Your Own Computer Games with Python
Al Sweigart
4.7 on Amazon
7 HN comments

Implementing Domain-Driven Design
Vaughn Vernon
4.5 on Amazon
7 HN comments

Math for Programmers: 3D graphics, machine learning, and simulations with Python
Paul Orland
4.9 on Amazon
7 HN comments

Digital Gold: Bitcoin and the Inside Story of the Misfits and Millionaires Trying to Reinvent Money
Nathaniel Popper
4.6 on Amazon
7 HN comments
sah2edonMay 24, 2018
0: https://www.amazon.com/gp/aw/review/B01AFXZ2F4/R2TPT5454UEKL...
schnevetsonMay 4, 2021
As an entertaining example, Seth Stephens-Davidowitz's big data book Everybody Lies mentioned a study that asked people in the United States how frequently they had sex, and how frequently they practiced safe sex with a condom. If the resulting data was accurate and projected across the entire country, the United States consume 2.7 billion condoms a year... even though only 600 million condoms are sold in a year.
https://www.theatlantic.com/health/archive/2017/06/our-searc...
sienonJune 8, 2017
https://www.wired.com/2017/05/maybe-internet-isnt-tearing-us...
What data tell us:
"In the United States, according to Gentzkow and Shapiro, the chances that two people visiting the same news site have different political views is about 45 percent. In other words, the internet is far closer to perfect desegregation than perfect segregation."
and more:
"PROBABILITY THAT SOMEONE YOU MEET HAS OPPOSING POLITICAL VIEWS
On a News Website 45.2%
Coworker 41.6%
Offline Neighbor 40.3%
Family Member 37%
Friend 34.7%"
bkohlmannonSep 21, 2017
-"Thinking Fast and Slow" by Daniel Khaneman
-"The Undoing Project" by Michael Lewis
-"Fooled by Randomness" and "The Black Swan" by Nassim Nicholas Taleb
-"Pre-suasion" by Cialdini
-"The Moral Animal" by Robert Wright
-"The Most Important Thing" by Howard Marks
-"Everybody Lies" by Seth Stevens-Davidowitz
-"How to Fail at Almost Everything and Still Win Big" by Scott Adams
-The "Freakonomics" Trilogy
chiefalchemistonDec 21, 2017
atlasunshruggedonJuly 10, 2021
jseligeronMar 6, 2018
"Buying local" is the kind of thing everyone is in favor of and no one actually does. Well, okay, not "no one," but far fewer than favor it in theory. Like "giving up Facebook," "switching to Linux" and "always using a condom," the number of people who make the claim in order to signal something about themselves is much smaller than the number actually engaging a behavior.
See further Seth Stephens-Davidowitz, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are ( https://www.amazon.com/Everybody-Lies-Internet-About-Really/... ).
chiefalchemistonNov 17, 2017
A couple months ago I spent a good number of hours over a couple week at local hospital waiting for a close friend's mum to recover from a stroke. I could be mistaken but the only "data analysis" I noticed was taking place in the heads of the doctors and nurses.
The same goes for the physical therapy facility. That is, no one - not even the insurance company - was using similar cases as a guide. Yes, at a high general level they were. But using real data didn't seem to be on their radar.
This void made family decision making stressful and difficult.