ctil | Poetry | |
---|---|---|
5 | 378 | |
2 | 29,631 | |
- | 1.6% | |
8.7 | 9.7 | |
6 months ago | 7 days ago | |
C++ | Python | |
GNU General Public License v3.0 only | 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.
ctil
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My first Software Release using GitHub Release
Since git tags are snapshots of entire repositories, my initial GitHub release contained archives of my source code. This was unacceptable as users only require the final compiled executable. To make my executable available I had to edit my release and drag-and-drop the compiled executable (compressed into a .ZIP archive) into the release:
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How I Added Continuous Integration (CI) to a C++ Project
After adding the template, my first build failed due to the following error:
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Automatically run tests, formatters & linters with CI!
Another task I completed this week in open source was contributing to Roy's project by adding some unit tests. This was my first time contributing open source code in C++, and I am glad that Roy reached out to collab with me since I've been mostly working with Python/Java/JavaScript these days and I wanted to step out of my comfort zone. Roy created an issue for the tests he required and I submitted my PR which he later merged :)
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C++ Unit Testing Using Google Test - My Experience
For this lab exercise, I had to select and setup a testing framework to my Markdown-to-HTML converter, ctil.
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Is copying from open source projects stealing?
In my previous blog post on Code Reading, I read the codebase of Docusaurus to research how the project implements Syntax Highlighting for fenced code blocks. My research taught me that Docusaurus actually uses Prism-React-Renderer, a third-party library, to provide Syntax Highlighting. This knowledge was useful because I wanted to add syntax highlighting to ctil, my Markdown-to-HTML converter, but didn't want to implement the feature from scratch. Although I can't use Prism React Renderer in my own project, researching Docusaurus gave me the idea to find a Open Source library I could use.
Poetry
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Understanding Dependencies in Programming
You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.
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Implementing semantic image search with Amazon Titan and Supabase Vector
Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:
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From Kotlin Scripting to Python
Poetry
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How to Enhance Content with Semantify
The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:
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Uv: Python Packaging in Rust
Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?
https://github.com/python-poetry/poetry/issues/6409
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Boring Python: dependency management (2022)
Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.
Not sure where I would stand if I fully investigated it tho.
[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...
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Fun with Avatars: Crafting the core engine | Part. 1
We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.
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Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging
Here are the two main packaging issues I run into, specifically when using Poetry:
1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.
2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.
I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.
Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.
[0] https://github.com/python-poetry/poetry/issues/2740
[1] https://github.com/python-poetry/poetry/issues/2184
[2] https://pypi.org/project/pypiserver/
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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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How do you resolve dependency conflicts?
I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github
What are some alternatives?
prism-react-renderer - 🖌️ Renders highlighted Prism output to React (+ theming & vendored Prism)
Pipenv - Python Development Workflow for Humans.
Hazel - Hazel Engine
PDM - A modern Python package and dependency manager supporting the latest PEP standards
Google Test - GoogleTest - Google Testing and Mocking Framework
hatch - Modern, extensible Python project management
Highlight.js - JavaScript syntax highlighter with language auto-detection and zero dependencies.
pyenv - Simple Python version management
conan - Conan - The open-source C and C++ package manager
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
Bazel - a fast, scalable, multi-language and extensible build system
virtualenv - Virtual Python Environment builder