hatch
PDM
Our great sponsors
hatch | PDM | |
---|---|---|
20 | 47 | |
5,324 | 6,553 | |
4.4% | 5.2% | |
9.5 | 9.6 | |
4 days ago | 3 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hatch
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Uv: Python Packaging in Rust
Exciting stuff! I view Hatch [1] as becoming the Cargo for Python because it's already close and has an existing (and growing) user base but I can definitely see depending on this for resolution and potentially not even using pip after it becomes more stable.
[1]: https://hatch.pypa.io/latest/
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lockfiles for hatch projects
I was inspired enough by the hatch sync idea that I created a PR to add that functionality to hatch: https://github.com/pypa/hatch/pull/1094
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Building and Releasing a Python CLI
Another concept I learned was about build backends, an import step which is used to initialize and install any dependencies of the app you're packaging. Since the tutorial went with using Hatch that is also what I went with, though it didn't provide a lot of useful details especially because it didn't show how to add any dependencies, so I took a look at the docs which were very nice and simple to follow.
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Is there an up-to-date python package template?
Try using hatch: https://hatch.pypa.io/latest/
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How do I install dependencies in Hatch?
I'm trying to learn Hatch, I currently use [Poetry](python-poetry.org/) to manage my dependencies, and while I'm overall happy with it, I really like the features I'm reading about with Hatch. I'm also working on learning CI pipelines & Dockerizing Python applications, and Hatch seems like a really useful tool to learn for this (and just as a general use tool).
- pipenv or virtualenv ?
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Call for questions for Guido van Rossum from Lex Fridman
Poetry 1.2 has been a pain. Which was the dev's fault though. Switching to something new while deprecating a related feature is just plain bad. I've been looking into modern alternatives like PDM and Hatch, but haven't used them (yet).
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So how do you actually deploy code/scripts?
For example, when it comes to Python, one option is to use the same packaging system that a huge number of open-source libraries and tools are published with. You can use setuptools or Hatch to build a "packaged" version of your code, and publish it to either the public PyPi repository or an internal one that you set up. Then your users can use pip to install your package, automatically fetch its dependencies, and keep it up to date, just like any other Python module.
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Scala isn't fun anymore
Don't forget the new PyPa tool on the block: Hatch.
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How to create a Python package in 2022
See also: https://github.com/pypa/hatch
PDM
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
# See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v3.2.0 hooks: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml - id: check-toml - id: check-added-large-files - repo: local hooks: - id: tox lint name: tox-validation entry: pdm run tox -e test,lint language: system files: ^src\/.+py$|pyproject.toml|^tests\/.+py$ types_or: [python, toml] pass_filenames: false - id: tox docs name: tox-docs language: system entry: pdm run tox -e docs types_or: [python, rst, toml] files: ^src\/.+py$|pyproject.toml|^docs\/ pass_filenames: false - repo: https://github.com/pdm-project/pdm rev: 2.10.4 # a PDM release exposing the hook hooks: - id: pdm-lock-check - repo: https://github.com/jumanjihouse/pre-commit-hooks rev: 3.0.0 hooks: - id: markdownlint
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Beginning Python: Project Management With PDM
PDM is a solution that allows for easy creation and management of python projects. Some of the key features that will improve the management of python projects include:
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A question about good practice when using docker.
You'd need a proper dependencies management tool like PDM or Poetry to exhaustively resolve and lock down all the transitive dependencies if you want to have anything closed to reproducible build.
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pdm-dotenv: Simplify Your Project's Environment Variable Management
Are you working on a Python project that uses pdm for dependency management and dotenv for local environment variable and secrets management? Do you find it frustrating when CLI tools like pgcli don't automatically pick up your .env file, forcing you to resort to npm install -g dotenv-cli? I've got a more convenient solution for you!
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PEP 582 rejected - consensus among the community needed
I first learned about PDM from a blog post written by one of the PDM contributers. The post was about OOPifying argparse to allow for easy creation/modification of subcommands that exist as their own classes/files, and to avoid maintaining a single long script with an endless number of subparser.add_argument(...) lines.
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PEP 704 – Require virtual environments by default for package installers
That's more or less what PEP 582 plans to do, but it's been stalled and mired in discussions for years. The PDM tool went ahead and implemented it though if you want to use it: https://github.com/pdm-project/pdm
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This Week In Python
pdm – A modern Python package and dependency manager
- Pdm: A modern Python dependency manager supporting the latest PEP standards
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How does a virtual environment work?
pdm and PEP 582 enter the chat
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Boring Python: Code Quality
I'm liking PDM for a while now. Quicker than Poetry and built according to the Python package spec in mind and not as an afterthought. While it was originally meant to work with PEP 582, it works with virtual environments too (now default).
https://github.com/pdm-project/pdm
What are some alternatives?
Poetry - Python packaging and dependency management made easy
setuptools - Official project repository for the Setuptools build system
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
poetry-dynamic-versioning - Plugin for Poetry to enable dynamic versioning based on VCS tags
pip - The Python package installer
reloadium - Hot Reloading and Profiling for Python
Pipenv - Python Development Workflow for Humans.
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow