You-Dont-Know-JS
Numba
Our great sponsors
You-Dont-Know-JS | Numba | |
---|---|---|
303 | 124 | |
176,110 | 9,432 | |
- | 1.8% | |
4.8 | 9.9 | |
2 months ago | 5 days ago | |
Python | ||
GNU General Public License v3.0 or later | 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.
You-Dont-Know-JS
-
10 GitHub Repos for Mastering JavaScript
Repository: getify/You-Dont-Know-JS
-
10 JavaScript Sites Every Web Developer Should Know
(https://github.com/getify/You-Dont-Know-JS) You Don't Know JS is a series of books that dives deep into the inner workings of JavaScript. Written by Kyle Simpson, these books explore topics like scope, closures, and prototypes, helping you master JavaScript's more complex concepts.
-
🧙‍♂️Master JavaScript with these 5 GitHub repositories🪄✨🚀
3. You-Dont-Know-JS
-
Eloquent JavaScript 4th edition (2024)
There are 6 books, the author recommends reading them in an order:
https://github.com/getify/You-Dont-Know-JS?tab=readme-ov-fil...
If the second edition is not available, you can read the first edition, just be aware some small things may be slightly out of date.
-
Tech stories: make me a microservice architecture! But what's the product?
I also understood the importance of reading great books on software engineering; in my case You don't know JS by @getify đź‘Ź basically cured my depression and drop of self-esteem.
-
10 GitHub repositories that every developer must follow
âś… getify/You-Dont-Know-JS : https://github.com/getify/You-Dont-Know-JS
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
-
How Closures Work and Why It Matters
“You Don’t Know JS” by Kyle Simpson
-
Coming to grips with JS: a Rubyist's deep dive
You Don't Know JS
-
JavaScript Coercion : Beyond Basics
JavaScript Data Structures - MDN valueOf - MDN valueOf in JavaScript - ECMA Abstract Operations: To Primitive - ECMA You Don't Know JS by Kyle Simpson
Numba
-
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.
-
Is anyone using PyPy for real work?
Simulations are, at least in my experience, numba’s [0] wheelhouse.
[0]: https://numba.pydata.org/
-
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
-
Python Algotrading with Machine Learning
A super-fast backtesting engine built in NumPy and accelerated with Numba.
-
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.
-
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
-
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/
-
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?
Crafting Interpreters - Repository for the book "Crafting Interpreters"
NetworkX - Network Analysis in Python
front-end-interview-handbook - ⚡️ Front End interview preparation materials for busy engineers
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
awesome-cheatsheets - 👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Dask - Parallel computing with task scheduling
clean-code-javascript - :bathtub: Clean Code concepts adapted for JavaScript
cupy - NumPy & SciPy for GPU
learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
javascript - JavaScript Style Guide
SymPy - A computer algebra system written in pure Python