31–40 of 76 posts
A really interesting dive into looking at common apps and industry problems from alternate perspectives, as well as how bias affects technical and design decisions in software. Not super technical per se, but it's pretty short and raises great and timely questions.
https://www.amazon.com/Technically-Wrong-Sexist-Algorithms-T...
Type-Driven Development with Idris: https://www.manning.com/books/type-driven-development-with-i...
As a side-comment, don't limit yourself to recently released programming books! I used to do that when reading about web stuff, since most older texts were outdated. But there's many topics for which older books are far better sources of information! The 80s and 90s had tons of improvements and innovations which are still highly relevant. Don't fall into the trap of thinking that something is better just because it's…
Designing Data‑Intensive Applications by Martin Kleppmann
Programming Beyond Practices: Be More Than Just a Code Monkey
https://amzn.com/B01LYRCGA8 ($14.99 Kindle)
>"a sense of how a very experienced developer sees the world an[d] approaches decision making"
Maybe the ZenFounder book helping founders maintain their mental health will make it out before the end of this year!
https://zenfounder.com/entrepreneurs-guide-keeping-st-togeth...
Edit: just got an email - nope, delayed til 2018!
Somewhat on topic I'd like to ask what a good device is to read these books on? I'd like to grab a couple books to read over the holidays. For example someone else mentioned this book. https://www.manning.com/books/deep-learning-with-python It's available as two options... combo $49.99: pBook + eBook + liveBook eBook $39.99: pdf + ePub + kindle + liveBook Personally, I prefer paperback books, but I'm willing to try o…
MS OneNote allows you to annotate PDFs, and Adobe Acrobat reader has some annotation capabilities (and their paid version annotates well).
I usually annotate PDFs on my mac, which is not great for reading :)
Francois Cholet (author of Keras)'s Deep Learning with Python will be complete and fully published on the 20th of December: https://www.manning.com/books/deep-learning-with-python The chapters released so far are very good, the outlook chapters were extensively discussed on HN: https://blog.keras.io/the-limitations-of-deep-learning.html and https://blog.keras.io/the-future-of-deep-learning.html Wickham's R for Data S…
https://news.ycombinator.com/item?id=14790251