gopy
mypyc
gopy | mypyc | |
---|---|---|
5 | 25 | |
1,868 | 1,667 | |
1.4% | 0.1% | |
6.7 | 0.0 | |
3 days ago | about 1 year ago | |
Go | ||
BSD 3-clause "New" or "Revised" 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.
gopy
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Making Python 100x faster with less than 100 lines of Rust
I've used gopy[0] recently to access a go library in Python. It surprisingly Just Worked, but I was disappointed by some performance issues, like converting lists to slices.
[0] https://github.com/go-python/gopy
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Golang vs python for AI
the heavy lifting is done in native libraries and you get to experiment fast using an easy language. the combo is quite hard to beat. Now there is a missed opportunity to write such libraries in Go, but as I read here and there Go is hard to integrate well as a library. There is gopy but it's light years away from PyO3 for instance, I don't think it'll ever gain traction, but who knows.
- Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?
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I went about learning Rust
> So if you learn Go, you'll never be able to use it to interoperate with e.g. your Python program to speed it up.
Never done it myself, but:
https://www.ardanlabs.com/blog/2020/07/extending-python-with...
https://github.com/go-python/gopy
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Rust or C/C++ to learn as a secondary language?
Check out gopy for an easy way to extend your Python code with Go.
mypyc
- Making use of type hints
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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 :)
[0] https://github.com/mypyc/mypyc
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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.
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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.
[1] https://github.com/mypyc/mypyc
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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....
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ELI5: Canβt one write a compiler for Python and make everything go brrrr?
And mypyc https://github.com/mypyc/mypyc
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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.
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Pholyglot version 0.0.0 (PHP to PHP+C polyglot transpiler)
Have you encountered mypyc?
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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.
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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 are some alternatives?
PySCIPOpt - Python interface for the SCIP Optimization Suite
Cython - The most widely used Python to C compiler
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages π
mypy - Optional static typing for Python
prisma-engines - π Engine components of Prisma ORM
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
CPython - The Python programming language
cpy3 - Go bindings to the CPython-3 API
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
PythonCall.jl - Python and Julia in harmony.
pyccel - Python extension language using accelerators