Python Modern Practices
Python development best practices involve using tools like mise or pyenv for multiple versions, latest Python version, pipx for app running. Project tips include src layout, pyproject.toml, virtual environments, Black, flake8, pytest, wheel, type hinting, f-strings, datetime, enum, Named Tuples, data classes, breakpoint(), logging, TOML config for efficiency and maintainability.
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Python development best practices include installing Python with tools supporting multiple versions like mise or pyenv, using the latest Python version, and running developer applications with pipx. Developing projects involves avoiding Poetry, using pyproject.toml files, creating a src layout directory structure, and utilizing virtual environments with requirements.txt files. Code formatting with tools like Black, linting with flake8 or Ruff, and testing with pytest are recommended. Packaging applications with wheel packages or container images is advised. Language syntax suggestions include using type hinting, f-strings for formatting, datetime objects with time zones, and enum or Named Tuples for key-value pairs. Data classes and collections.abc for custom types, as well as using breakpoint() for debugging, are also highlighted. Lastly, logging is preferred over print() for diagnostic messages, and the TOML format is recommended for configuration. These practices aim to enhance Python project development efficiency and maintainability.
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16 commentsIsn't this obsoleted by the previous section on using pyproject.toml?
I did come across a weird dependency confusion issue recently when I tried using it on a server setup with piku though, but haven't gotten around to find what exactly is happening.
Also don't think I'll ever give up on YAML for it's easy read+write, and I love the simplicity of fire for CLI things. And pathlib.Path().glob() for directory listing.
What? This is the first I've heard of this.
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