Difference between revisions of "Python"

Revision as of 15:36, 30 March 2022

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Here in no particular order are some PEPs I find to be interesting reading

PEP 1 - PEP Purpose and Guidelines (i.e. "what the heck is a PEP?")
PEP 0 - Index of all PEPs
PEP 8 - Style Guide for Python Code
PEP 257 - Docstring Conventions
PEP 602 - Annual Release Cycle for Python
PEP 636 - Structural Pattern Matching: Tutorial
PEP 517 - A build-system independent format for source trees - Information on the modern organization of Python packaging, namely the division of concerns between:
- integration frontends ("a tool that...attempts...to satisfy [a set of package requirements]")
- build frontends ("a tool that...builds wheels from [source trees/distributions]")
- build backends (the thing that actually does the building, at the request of the build frontend
PEP 518 - Specifying Minimum Build System Requirements for Python Projects - i.e. _"what the heck is pyproject.toml?"_
PEP 513 - A Platform Tag for Portable Linux Built Distributions - i.e. the manylinux1 platform target (see PEP 600 for the modern tagging system)

Python Virtual Environments in Five Minutes
Python Names and Values - a discussion of how name resolution works in Python (e.g. why Python doesn't have "variables")
Pragmatic Unicode - a crash-course introduction to text encoding, Unicode, and some of the Python pitfalls
Weird Python Integers
Python's calling model is "Call By Object"
Understanding Python Decorators in 12 Easy Steps!

The Python Control Flow Graph - Article showing how to build a tool to visualize the CFG of a Python program
Mailing list discussion of adding a TOML parser to the standard library - tl;dr it's still a mess, toml isn't maintained enough, tomlkit does too much. tomli seems to be the leading favorite.
Why you should use python -m pip
Under the hood of calling C/C++ from Python
Python's Memory Allocator - some notes on arena allocation in CPython
Your Guide to the CPython Source Code
"How python implements super long integers?" - an excellent article about how CPython implements arbitrarily large integers.
Common Python Gotchas
Think Python
Automate the Boring Stuff with Python
Python's Hidden Regular Expression Gems (particularly nice because of the Scanner class therein)

@@ Line 45: / Line 45: @@
 * [https://github.com/aroberge/friendly `friendly`: replacing standard traceback by something easier to understand]
+* [https://tenacity.readthedocs.io/en/latest/ `tenacity`: general-purpose retrying library]
 === SciPy stack ===