HackerNews Readings: High Performance Python: Practical Performant Programming for Humans

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Life 3.0: Being Human in the Age of Artificial Intelligence

Max Tegmark, Rob Shapiro, et al.

4.5 on Amazon

12 HN comments

Quantum Computing: An Applied Approach

Jack D. Hidary

4.5 on Amazon

11 HN comments

UNIX and Linux System Administration Handbook

Evi Nemeth, Garth Snyder, et al.

4.7 on Amazon

11 HN comments

Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software

Michael Sikorski and Andrew Honig

4.7 on Amazon

11 HN comments

Trust Me, I'm Lying: Confessions of a Media Manipulator

Ryan Holiday and Penguin Audio

4.4 on Amazon

11 HN comments

Building Microservices: Designing Fine-Grained Systems

Sam Newman

4.5 on Amazon

10 HN comments

C++ Concurrency in Action

Anthony Williams

4.7 on Amazon

10 HN comments

Serious Cryptography: A Practical Introduction to Modern Encryption

Jean-Philippe Aumasson

4.7 on Amazon

10 HN comments

Theory of Fun for Game Design

Raph Koster

4.3 on Amazon

10 HN comments

The Model Thinker: What You Need to Know to Make Data Work for You

Scott E. Page, Jamie Renell, et al.

4.5 on Amazon

10 HN comments

Making Things Happen: Mastering Project Management (Theory in Practice)

Scott Berkun

4.4 on Amazon

10 HN comments

Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin's Most Dangerous Hackers

Andy Greenberg, Mark Bramhall, et al.

4.7 on Amazon

10 HN comments

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

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Sorted by relevance

dr_zoidbergonDec 17, 2015

That motivating factor can be achieved in Python using Numpy and Cython effectively. Check any of Ian Oszvald's High Performance Python talks.

myth_drannononJuly 10, 2019

High Performance Python is a good book.
https://www.oreilly.com/library/view/high-performance-python...

bkcooperonFeb 6, 2015

I'll also note [self promo!] that I wrote on book on High Performance Python

I've really enjoyed this book so far, so thanks!

drejonJuly 10, 2019

High Performance Python by Ian Ozsvald and Micha Gorelick - fairly outdated at this point, but still quite relevant (I believe the authors are working on a new edition).

hcrisponSep 11, 2015

Network speeds I don't know about, but the book "High Performance Python" comes pretty close to the description of "CSCI 4020: Writing Fast Code in Slow Languages". Check it out!

darpa_escapeeonSep 12, 2018

O'Reilly's High Performance Python touches on the first two items on your list, but it is by no means comprehensive. It's also Python 2 specific, but its principles carry over to Python 3.

giancarlostoroonDec 1, 2017

Not sure if it counts, but High Performance Python[0] starts you out from the bottom explaining the hardware and how it has to process your code, and they go from there. It's a really good read, was recommended by a coworker and I haven't had issues reading through it so far. Also you might learn things to consider when writing or refactoring Python code that affect performance (I always suggest never to "solve" a performance issue that isn't there yet but to instead write something that works first, then try to optimize the code once it works).

http://shop.oreilly.com/product/0636920028963.do

BerislavLopaconJuly 10, 2019

I don't think so. This is quoted from Ian's latest mailing list [0] posting:

Second Edition of High Performance Python in the works

I'm very pleased to say that Micha and I have started work on a Second Edition of High Performance Python with O'Reilly, planned for early 2020. This book will use Python 3.7 and will add tools that barely existed 4 years ago including Dask and probably some Tensorflow, amongst lots of other goodies. I'll let you know how the book progresses via this list. So far I've updated the Profiling chapter, added some advice on 'being a highly performant developer' and have rebuilt the Cython/Numba/PyPy code for the Compiling chapter.

[0] https://ianozsvald.com/data-science-jobs/

IanOzsvaldonJune 22, 2014

I've just finished writing "High Performance Python" for O'Reilly (due August), we have a chapter on Lessons from the Field and one chap talks about his successful many-machine roll out of a complex production system using PyPy for a 2* overall speed gain. We also cover Numba, Cython, profiling, numpy etc - all the topics you'd expect.