Good news, everyone! (aka articles/posts worth reading according to me)

Sometimes it seems impossible to find useful, creative or entertaining information in the huge pile of trash that the Internet has become. But there are plenty of good articles/posts out there. I've decided to post here some of the ones that caught my attention lately and I've decided to call this column "Good news, everyone!", in honor of professor Farnsworth :) (Futurama, in case you didn't get the reference).

Deep Learning in the Stock Market

https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02

A Mathematician's Secret: We're Not All Geniuses

https://www.bloomberg.com/view/articles/2017-06-07/a-mathematician-s-secret-we-re-not-all-geniuses

How to read and understand a scientific paper: a guide for non-scientists

http://blogs.lse.ac.uk/impactofsocialsciences/2016/05/09/how-to-read-and-understand-a-scientific-paper-a-guide-for-non-scientists/

How long should peer review take?

https://scientistseessquirrel.wordpress.com/2015/08/31/how-long-should-peer-review-take/

The Limits of the CAP Theorem

https://www.cockroachlabs.com/blog/limits-of-the-cap-theorem/

GitHub Secrets

https://github.com/blog/967-github-secrets

What papers should everyone read?

https://cstheory.stackexchange.com/questions/1168/what-papers-should-everyone-read

Learn to Read Code

https://kylesletten.com/2017/06/26/learn-to-read-code.html