mypyc
react-wasm-github-api-demo
Our great sponsors
mypyc | react-wasm-github-api-demo | |
---|---|---|
25 | 1 | |
1,661 | 15 | |
2.0% | - | |
0.0 | 0.0 | |
12 months ago | about 3 years ago | |
Rust | ||
- | 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.
mypyc
-
Writing Python like it's Rust
That would be interesting! You might already be aware. But there's mypyc[0], which is an AOT compiler for Python code with type hints (that, IIRC, mypy uses to compile itself into a native extension).
Wanted to give you a head-start on the lit-review for your students I guess :)
-
The different uses of Python type hints
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
> Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python.
I have not experience a 4x boost, rather between 1.5x and 2x. I guess it depends on the code.
-
The Python Paradox
Funny how emergence works with tools. Give a language too few tools but viral circumstances - the ecosystem diverges (Lisps, Javascript). Give it too long an iteration time but killer guarantees, you end up with committees. Python not falling into either of these traps should be understood as nothing short of magic in emergence.
I only recently discovered that python's reference typechecker, mypy, has a small side project for typed python to emit C [1], written entirely in python. Nowadays with python's rich specializer ecosystem (LLVM, CUDA, and just generally vectorized math), the value of writing a small program in anything else diminishes quickly.
Imagine reading the C++wg release notes in the same mood that you would the python release notes.
-
Codon: A high-performance Python compiler
> Note that the mypyc issue tracker lives in this repository! Please don't file mypyc issues in the mypy issue tracker.
See https://github.com/mypyc/mypyc/blob/master/show_me_the_code....
What's the difference with mypyc [0] ? It also compiles Python to native code.
-
Is it time for Python to have a statically-typed, compiled, fast superset?
More recent approaches include mypyc which is (on the tin) quite close to what you describe, and taichi that lives in between.
-
Python 3.11 is 25% faster than 3.10 on average
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
-
Comparing implementations of the Monkey language VIII: The Spectacular Interpreted Special (Ruby, Python and Lua)
Regarding the large execution time mentioned in your article, I discovered (mypyc)[https://github.com/mypyc/mypyc] on this subreddit in a post from the black formatter team https://www.reddit.com/r/Python/comments/v2009i/im_that_person_who_got_black_compiled_with_mypyc/?utm_medium=android_app&utm_source=share
-
what a wonderful world
It's still alpha, but mypyc lets ordinary Python code be compiled to C extensions just by using type hints from the standard lib. It's currently used in the mypy project.
-
Rust or C/C++ to learn as a secondary language?
you can check out [`mypyc`](https://github.com/mypyc/mypyc) . It is used by mypy, black for speedup
react-wasm-github-api-demo
-
DoorDash: Migrating From Python to Kotlin for Our Backend Services
I'm not sure what your use case is, and anyway, mine's very different, but I do have a working implementation running in my wasm-template (that's a web client, but the GraphQL stuff is all in Rust. Look into the backend folder.)
What are some alternatives?
Cython - The most widely used Python to C compiler
mypy - Optional static typing for Python
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
CPython - The Python programming language
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
pyccel - Python extension language using accelerators
typeguard - Run-time type checker for Python
typed_python - An llvm-based framework for generating and calling into high-performance native code from Python.
mypyc-benchmark-results - Mypyc benchmark result data
benchmarks - Some benchmarks of different languages
nogil - Multithreaded Python without the GIL
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros