warehouse
git
warehouse | git | |
---|---|---|
275 | 616 | |
3,470 | 8,080 | |
0.5% | 0.7% | |
9.7 | 0.0 | |
2 days ago | 6 days ago | |
Python | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
warehouse
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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
pip install PackageName: installs a package (you can browse the available packages in the Python Package Index)
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
python3 -m pip install \ --trusted-host test.pypi.org --trusted-host test-files.pythonhosted.org \ --index-url https://test.pypi.org/simple/ \ --extra-index-url https://pypi.org/simple/ \ piper_whistle==$(python3 -m src.piper_whistle.version)
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Pickling Python in the Cloud via WebAssembly
In my experience so far, I can use a vast amount of the Python Standard Library to build Wasm-powered serverless applications. The caveat I currently understand is that Python’s implementation of TCP and UDP sockets, as well as Python libraries that use threads, processes, and signal handling behind the scenes, will not compile to Wasm. It is worth noting that a similar caveat exists with libraries that I find on The Python Package Index (PyPI) site. While these caveats might limit what can be compiled to Wasm, there are still a ton of extremely powerful libraries to leverage.
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Introducing Flama for Robust Machine Learning APIs
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.
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PyPI Packaging
From there, I needed to learn a bit about PyPi or Python Package Index, which is the home for all the wonderful packages that you know if you have ever run the handy pip install command. PyPi has a pretty quick and easy onboarding, which requires a secured account be created and, for the purposes of submitting packages from CLI, an API token be generated. This can be done in your PyPi profile. Once logg just navigate to https://pypi.org/manage/account/ and scroll down to the API tokens section. Click “Add Token” and follow the few steps to generate an API token which is your access point to uploading packages. With all this in place, I was able to use twine to handle the package upload. First I needed to install twine, again as simple as pip install twine. In order for twine to access my API token during the package upload process, it needed to read it from .pypirc file that contains the token info. For some that file may exist already, for me I was required to create it. Working in windows I simply used a text editor to create it in my home user directory ($HOME/.pypirc). The file contents had a TOML like format looked like this:
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Releasing my Python Project
I have published the package to Python Package Index, commonly called PyPi, and in this post, I'll be sharing the steps I had to follow in the process.
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Publishing my open source project to PyPI!
Register at PyPI.org
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Show HN: I mirrored all the code from PyPI to GitHub
According to the stats on the original link, there are over 25,000 identified secret ids/keys/tokens in the data. And it looks like that's just identifiable secrets, e.g. "Google API Keys" that I'm guessing are identifiable because they have a specific pattern, and may be missing other secrets that use less recognizable patterns.
I mean, sure, compared to the 478,876 Projects claimed on https://pypi.org/, that's a pretty small minority. On the other hand, I'd guess a many Python packages don't use these particular services, or even need to connect to a remote service at all, so the area for this class of mistake should be even smaller.
And mistakes do happen, but that's a pretty big thing to miss if you are knowingly publishing your code with the expectation other people will be reading it.
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Pezzo v0.5 - Dashboards, Caching, Python Client, and More!
PyPi package
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Modifying keywords in python package
Does pypi.org display the Union of all keywords, the keywords of the most recent release, the keywords of the first release or some other weird combination like the intersection?
git
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Understanding the Basics of Git.
Go to this link
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"Filename too long" error even after "fix" in git bash (windows 10)
I'd start by verifying that you're on the most current version of Git for Windows, and updating if that isn't the case. Followed by opening an issue here, if you're still encountering the problem.
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Gitting Started with Git: A Beginner's Guide to Version Control
Download the Git for Windows installer from the official website (https://gitforwindows.org/).
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pyaction 4.24.0 Released
This Docker image is designed to support implementing Github Actions with Python. As of version 4.0.0., it starts with the official python docker image as the base which is a Debian OS. It specifically uses python:3-slim to keep the image size down for faster loading of Github Actions that use pyaction. On top of the base, we've installed curl gpg, git, and the GitHub CLI. We added curl and gpg because they are needed to install the GitHub CLI, and they may come in handy anyway (especially curl) when implementing a GitHub Action.
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Save yourselves a lot of hassle (New to AwesomeWM PSA)
May I introduce you to https://git-scm.com/
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An AsyncAPI Example: Building Your First Event-driven API
Git
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Basics of Git
Before you start using Git, you need to install it on your computer. You can download and install Git from the official website (https://git-scm.com/). Once installed, open a terminal or command prompt and run the following commands to configure Git with your name and email:
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Publish an NPM Package from a GitHub Repository
Git: You should have Git installed on your machine. You can download it from the official website (https://git-scm.com/).
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Better Git Commits with `@commitlint`
When working on a project together, Git is a crucial tool that help teams collaborate smoothly. One of the key features is commits, which act like snapshots of the project's progress.
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"Мобильная" разработка. [Системы контроля версий, Git]
Официальный сайт Git
What are some alternatives?
devpi
git-lfs - Git extension for versioning large files
bandersnatch
Chocolatey - Chocolatey - the package manager for Windows
localshop - local pypi server (custom packages and auto-mirroring of pypi)
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
Poe the Poet - A task runner that works well with poetry.
deemix-webui
scribd-downloader
Camunda BPM - Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI.
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.
sensible-side-buttons - A macOS menu bar app that enables system-wide navigation functionality for the side buttons on third-party mice.