github_actions_js
Numba
github_actions_js | Numba | |
---|---|---|
4 | 124 | |
8 | 9,471 | |
- | 1.1% | |
2.1 | 9.9 | |
about 1 year ago | 4 days ago | |
TypeScript | Python | |
MIT License | BSD 2-clause "Simplified" 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.
github_actions_js
- I created a CLI app that allows you to clone and update GH Actions from other projects and share your own
- I created a Manager for GitHub Actions to automate projects quickly and share best CI/CD practices
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Sunday Daily Thread: What's everyone working on this week?
I released a new version of a CLI app that allows you to clone and update GitHub actions from any repo on GitHub or from your other local projects https://github.com/vemel/github_actions_js
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[AskJS] Best practices for building a JS library (tooling and architecture)
Please let me know if you find it useful https://github.com/vemel/github_actions_js/blob/main/workflows/README.md
Numba
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Mojo🔥: Head -to-Head with Python and Numba
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
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Is anyone using PyPy for real work?
Simulations are, at least in my experience, numba’s [0] wheelhouse.
[0]: https://numba.pydata.org/
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Any data folks coding C++ and Java? If so, why did you leave Python?
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees.
- Using Matplotlib with Numba to accelerate code
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Python Algotrading with Machine Learning
A super-fast backtesting engine built in NumPy and accelerated with Numba.
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PYTHON vs OCTAVE for Matlab alternative
Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does computationally demanding tasks thanks to numba.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "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."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
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This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.
For the benefit of future readers: https://numba.pydata.org/
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Two-tier programming language
Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file.
- Numba Supports Python 3.11
What are some alternatives?
airbyte-connectors - Airbyte connectors (sources & destinations) + Airbyte CDK for JavaScript/TypeScript
NetworkX - Network Analysis in Python
notion-cloudflare-worker - A Github Action CI wrapper for Fruition setup for automatic deployment to CloudFlare Worker, to help you use your Notion with custom domain
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
robin_stocks - This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Dask - Parallel computing with task scheduling
tsdx - Zero-config CLI for TypeScript package development
cupy - NumPy & SciPy for GPU
github-action-new-dependencies-advisor - GitHub Action adding a comment with information about new npm dependencies detected in a pull request
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
node-package-template - A GitHub repository template for Node modules.
SymPy - A computer algebra system written in pure Python