self-contained-runnable-py
tox-poetry-installer
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| self-contained-runnable-py | tox-poetry-installer | |
|---|---|---|
| 3 | 1 | |
| - | 54 | |
| - | - | |
| - | 6.4 | |
| - | 9 months ago | |
| Python | ||
| - | MIT License |
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self-contained-runnable-py
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Underappreciated Challenges with Python Packaging
The approach I prefer is to not mess with setuptools etc at all in the first place, and simply make a nice executable package.
e.g. https://github.com/tpapastylianou/self-contained-runnable-py...
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How to create a Python package in 2022
The title should be: How to create a "Python DISTRIBUTION package".
The term "python package" means something entirely different (or at the very least is ambiguous in a pypi/distribution context).
To add to the confusion, creating a totally normal, runnable python package in a manner that makes it completely self-contained such that it can be "distributed" in a standalone manner, while still being a totally normal boring python package, is also totally possible (if not preferred, in my view).
Shameless plug: https://github.com/tpapastylianou/self-contained-runnable-py...
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Show HN: Hatch 1.0.0 – Modern, extensible Python project management
Shameless plug: I use my own template, which organises things as runnable projects.
https://github.com/tpapastylianou/self-contained-runnable-py...
It serves my purposes very well (which is creating projects that represent standalone experiments).
Sharing in case someone else here finds it useful.
More recently I've modified this a bit to also generate nice html reports straight from the __main__.py file, independently of the underlying python code, and use this as lab books (where each lab book contains a single analysis and its report). I'll upload this template separately when I find the time.
tox-poetry-installer
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How to create a Python package in 2022
This is almost exactly how I set up python projects; it’s reassuring to see it set out in one place.
I started using tox-poetry-installer[1] to make tox pick up pinned versions from the lock file and reuse the private package index credentials from poetry.
[1] https://github.com/enpaul/tox-poetry-installer
What are some alternatives?
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
pip-audit - Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
hatch - Modern, extensible Python project management
flitenv - 📦🐍 Dependency manager for modern Python projects
awesome-devops - A curated list of awesome DevOps platforms, tools, practices and resources
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
emacs-python-exec-find - Tracks down the correct Python tooling executables from your virtualenvs so you can glue the binaries to Emacs and delete code in init.el [Moved to: https://github.com/wyuenho/emacs-pet]
roadmap - Public roadmap for the Poetry package manager
tox-pin-deps - Run tox environments with strictly pinned dependencies (and no project or code changes).
release-please - generate release PRs based on the conventionalcommits.org spec
You-Python - A python library for you.com and all of its apps.