faster-python-with-taichi
Pyjion
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| faster-python-with-taichi | Pyjion | |
|---|---|---|
| 3 | 23 | |
| 79 | 1,405 | |
| - | - | |
| 0.0 | 5.0 | |
| about 1 year ago | 15 days ago | |
| Python | C++ | |
| - | MIT License |
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faster-python-with-taichi
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Accelerate Python code 100x by import taichi as ti
You can refer to the source code of three examples comparing Taichi with Python here.
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Accelerate Python code 100x using Taichi Lang
A shortcut to the source code of the three cases: https://github.com/taichi-dev/faster-python-with-taichi.
Pyjion
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Python 3.13 Gets a JIT
It exists, was created by microsoft employees, and is referenced in the article: https://www.trypyjion.com/
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Is anyone using PyPy for real work?
I've actually come across and started using Pyjion recently (https://github.com/tonybaloney/pyjion); how does Pypy compare, both in terms of performance and purpose? There seems to be a lot of overlap...
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funAndEasyToUse
Python is capable of doing things at runtime that are really hard to statically compile around, such as monkeypatching methods onto existing objects. You can compile it, but it's complicated. One strategy is to use a JIT that can observe application state at runtime and then invalidate code as it becomes obsoleted by changes, but it's complicated. See pyjion for an example.
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How is Golang websocket better than FastAPI websocket?
and if you need more speed you can try https://www.pypy.org/ or https://github.com/tonybaloney/Pyjion or https://www.pyston.org/
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CPython vs PyPy
Finally, there is also Pyjion which based on its website is “A drop-in JIT Compiler for Python 3.10” (https://www.trypyjion.com/). We will be covering it on a separate writeup. See you next time ;-).
- Accelerate Python code 100x by import taichi as ti
- Create CPython extensions in .NET?
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You think python is slow ?
Pyjion Easy to use, small compiler. Increase performance of our 🐌 CPython.
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Why doesn't CPython use a JIT?
Pyjion (and in particular its README) are worth a read for existing options.
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High Performance subset of python
https://github.com/tonybaloney/Pyjion Seems pretty cool
What are some alternatives?
Numba - NumPy aware dynamic Python compiler using LLVM
Nuitka - Nuitka 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. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
graalpython - A Python 3 implementation built on GraalVM
Cython - The most widely used Python to C compiler
hpy - HPy: a better API for Python
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
ideas
python-builddsl - A superset of the Python programming language with support for closures and multi-line lambdas
Pyjion
Pyston - A faster and highly-compatible implementation of the Python programming language.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more