Python

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Official documentation

• Built-in Functions
• Format Specification Mini-Language - for string formatting
• Python's formal guidance on dunders as a reserved class of identifier
• Unpacking Argument Lists

Python Enhancement Proposals (PEPs)

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
• - 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]"_), and build backends (the thing that actually does the building, at the request of the build frontend PEP 517 - A build-system independent format for source trees]
• PEP 518 - Specifying Minimum Build System Requirements for Python Projects - i.e. _"what the heck is pyproject.toml?"_
• - i.e. the manylinux1 platform target (see [PEP 600(https://www.python.org/dev/peps/pep-0600/) for the modern tagging system PEP 513 - A Platform Tag for Portable Linux Built Distributions]

Talks

• Machete-mode Debugging - Ned Batchelder, PyCon 2016
• Raymond Hettinger "The Mental Game of Python", PyBay2019

Explanations

• Python Virtual Environments in Five Minutes
• - a discussion of how name resolution works in Python (i.e. why Python doesn't have "variables" Python Names and Values
• Pragmatic Unicode - a crash-course introduction to text encoding, Unicode, and some of the Python pitfalls
• Weird Python Integers
• (mirror: https://jamesgerity.com/backup/call-by-object.htm Python's calling model is "Call By Object"

Interesting libraries

• friendly: replacing standard traceback by something easier to understand

SciPy stack

• Python visualization landscape
• SciPy lectures
• Numpy ndarray structure under the hood
• Numpy: Array Indexing
• Numpy: Broadcasting

   * see also the older "Eric's broadcasting doc"

• MATLAB to Numpy cheatsheet
• Pandas from the Ground up - PyCon 2015

Misc.

• 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
• Beyond PEP8 - Raymond Hettinger talking about foolish consistency
• 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
• (particularly nice because of the Scanner class therein Python's Hidden Regular Expression Gems