mypyc
python_backend_template
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mypyc | python_backend_template | |
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25 | 1 | |
1,667 | 9 | |
1.3% | - | |
0.0 | 4.6 | |
about 1 year ago | almost 3 years ago | |
TypeScript | ||
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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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: Can’t 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
python_backend_template
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DoorDash: Migrating From Python to Kotlin for Our Backend Services
In general I think well written Python avoids the problems DoorDash faced. I've created a GitHub template so all my products start in a clean way: https://github.com/hbrooks/python_backend_template
What are some alternatives?
Cython - The most widely used Python to C compiler
fastapi-starter - A FastAPI based low code starter/boilerplate: SQLAlchemy 2.0 (async), Postgres, React-Admin, pytest and cypress
mypy - Optional static typing for Python
react-wasm-github-api-demo - A demo application to serve as a template for your Rust & React needs. With a sample GraphQL backend.
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
cdk-eventbridge-socket - CDK construct that creates a WebSocket endpoint for you for any EventBridge rule you are interested in. (Built for debugging + testing )
CPython - The Python programming language
Quasar - Fibers, Channels and Actors for the JVM
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
vector - A high-performance observability data pipeline.
pyccel - Python extension language using accelerators
Kategory - Λrrow - Functional companion to Kotlin's Standard Library