nelson
Cython
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nelson | Cython | |
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0 | 39 | |
41 | 7,019 | |
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9.5 | 9.7 | |
2 days ago | 1 day ago | |
C++ | Python | |
GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 or later |
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Cython
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My Experiences with Julia
Cython has long been an interesting alternative here - a gradually typed amalgam of Python & C that lets you write/compile Python extension modules without needing to learn much of the CPython API. You can even use --embed to compile your whole script file and -X infer_types.verbose=True to let you know where types are dynamic/implicit rather than declared. Several big core packages like scipy use this as well.
Personally, I prefer Nim [2] which has more compile-time meta-programming support, is strongly typed from the outset, and has a lot of syntactic flexibility like UFCS, and many other goodies.
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Python vs. JavaScript: Is It a Fair Comparison?
There are ways to optimize Python’s performance by taking advantage of the fact that it uses the C programming language under the hood. For example, NumPy comes with optimized C code that makes Python code faster. Cython is a compiler, and a superset of the Python language that enables developers to build fast C modules that speed up the execution of Python code.
- For loop vs while loop in Python.
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Python Shouldn't Be the Top Programming Language
It depends on what "graduate" means (I note your "scare quotes"). For some lexical styles matter a lot and it is easier to answer this question with that kind of constraint.
While its ecosystem is surely much smaller than even Julia's, Nim [1] has a lot of the concise, lexical feel of Python, but semantics more like Modula3/Ada and with Lisp-like syntax macros/metaprogramming to fill in other gaps.
Another possibility is Cython [2] which is basically a superset of Python with gradual typing.
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this is a cry for help
Cython would like a word...
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hiding python source code
Either look at Cython, or try obfuscating the code then using pyinstaller to create an executable.
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How should I structure a Python package that contains Cython code
I'd like to make a Python package containing some Cython code. I've got the the Cython code working nicely. However, now I want to know how best to package it.
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I'm a senior Engine dev and decided to share my in house 2D Game Engine with the world to use it (for free). Can I post it here?
Oh no I am aware of that, it was praised for its easiness, readability and "pythonic way", then adopted by data scientists, which in turn took a direction to create more performant compiled code and have the ability to be used as an intermediate scripting layer to lower level languages.
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Why You Should Use Python For Your Next Project
Still, it is worth mentioning that some libraries like NumPy, which is a library for scientific computing with Python, have some parts written in C, making it fast. It is always better to do the heavy computation in low-level languages such as C or C++, but their syntax and complexity might not be suitable for large projects. Therefore, some parts of Python libraries are written in C/C++ to make them faster and much more straightforward for data scientists, data analysts, and others. If you are looking for high performance in your code, consider Cython, which gives you C-like performance with code mostly written in Python.
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U.S. Senate approves bill to make daylight saving time permanent
You might be thinking of Cython.
What are some alternatives?
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
PyPy
Pyston - A faster and highly-compatible implementation of the Python programming language.
Stackless Python
Pyjion
dramatiq - A fast and reliable background task processing library for Python 3.
ctypes.sh - A foreign function interface for bash.
V8 - The official mirror of the V8 Git repository
PeachPy - x86-64 assembler embedded in Python
Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
julia - The Julia Programming Language