Python 3.11 Performance Benchmarks Are Looking Fantastic
- Michael Larabel tl;dr: "Python 3.11 is 10~60% faster than Python 3.10 according to the official figures and a 1.22x speed-up with their standard benchmark suite." Michael shows his own test results.featured in #323
Animating Regular Expressions With Python and Graphviz
- Aydin Schwartz tl;dr: "I find the absolute best way to understand a concept is to visualize it. I’ve built a regex engine using Python and Graphviz that animates what actually goes on when a regex is searching through a body of text. If you want to try out your own examples, the project is publicly available on GitHub."featured in #318
featured in #316
Python f-strings Are More Powerful Than You Might Think
- Martin Heinz tl;dr: "There are however some facts and handy features of f-string that you might not know about. So, let’s take a tour of some awesome f-string features that you’ll want to use in your everyday coding."featured in #306
What To Expect From Python 3.11?
- Bas Steins tl;dr: (1) Even better error messages. (2) Adding the self type. (3) Introduction of Variadic Generics in the context of numerical libraries. (4) TOML format can be parsed with a tomllib. (5) ExceptionGroups allowing us to raise multiple exceptions simultaneously. (6) AsyncIO task groups. (7) Performance improvements.featured in #304
Upcoming Python Features Brought To You By Python Enhancement Proposals
- Martin Heinz tl;dr: In this article we will go over all the proposals that are going to bring some exciting new Python features. Martin covers the coming syntax changes, type annotations, debugging, and "quality of life" changes, adding support for parsing TOML format to Python's standard library.featured in #295
When I'm Sad My Computer Sends Me Cats
- Andrew Healey tl;dr: "I split the emotions into good vs. bad to get a clearer read of my mood. The overall score swings between -1 (very bad) and 1 (very good). I don't want to be spammed with cats every time I itch my nose and trigger a frame of video that's interpreted as negative so I added a three-second trailing average to look for prolonged periods of negative emotion."featured in #294
How We Optimized Python API Server Code 100x
- Vadim Markovtsev tl;dr: "Some of the tricks we used to speed up calls to our analytical API written in Python: played with asyncio, messed with SQLAlchemy, hacked deep in asyncpg, rewrote parts in Cython, found better data structures, replaced some pandas with pure numpy."featured in #291
10 Unknown Security Pitfalls For Python
- Dennis Brinkrolf tl;dr: “We chose pitfalls that we believe are less known in the developer community:” (1) All assert statements are ignored when code is optimised. (2) MakeDirs permissions. (3) Absolute path joins, and more.featured in #288
Strict Python Function Parameters
- Seth Michael Larson tl;dr: Seth is surprised how little he's seen this feature used, despite being included in Python 3.0, showing us the value of passing a parameter between the keyword-only and position-only parameters in the function signature.featured in #285