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Minecraft: Python Edition is a project that strives to recreate each and every old Minecraft version in Python 3 using the Pyglet multimedia library and Cython for performance. The project is currently working on the Indev versions of Minecraft. The latest version is Indev 0.31 20100131 as released on January 31, 2010.
Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you.
- Overview
- Installation:
- License:
- Contributing:
- Differences to other Python compilers
- Get the full source history:
- The following is from Pyrex:
Cython is a Python compiler that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations.
Cython translates Python code to C/C++ code, but additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code.
This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code.
•Official website: https://cython.org/
•Documentation: https://docs.cython.org/
•Github repository: https://github.com/cython/cython
If you already have a C compiler, just run following command:
otherwise, see the installation page.
The original Pyrex program was licensed "free of restrictions" (see below). Cython itself is licensed under the permissive Apache License.
See LICENSE.txt.
Want to contribute to the Cython project? Here is some help to get you started.
Started as a project in the early 2000s, Cython has outlived most other attempts at producing static compilers for the Python language.
Similar projects that have a relevance today include:
•PyPy, a Python implementation with a JIT compiler.
•Pros: JIT compilation with runtime optimisations, fully language compliant, good integration with external C/C++ code
•Cons: non-CPython runtime, relatively large resource usage of the runtime, limited compatibility with CPython extensions, non-obvious performance results
•Numba, a Python extension that features a JIT compiler for a subset of the language, based on the LLVM compiler infrastructure (probably best known for its clang C compiler). It mostly targets numerical code that uses NumPy.
Note that Cython used to ship the full version control repository in its source distribution, but no longer does so due to space constraints. To get the full source history from a downloaded source archive, make sure you have git installed, then step into the base directory of the Cython source distribution and type:
This is a development version of Pyrex, a language for writing Python extension modules.
For more info, take a look at:
•Doc/About.html for a description of the language
•INSTALL.txt for installation instructions
•USAGE.txt for usage instructions
•Demos for usage examples
May 15, 2019 · Cython is an optimizing static compiler for the Python programming language and the Cython programming language, which is a superset of Python. What Cython does is convert your Python code to C and then build/compile it using a C compiler of your choice.
Jun 16, 2013 · CPython compiles your Python code into bytecode (transparently) and interprets that bytecode in a evaluation loop. CPython is also the first to implement new features; Python-the-language development uses CPython as the base; other implementations follow. What about Jython, etc.?
This allows the compiler to generate very efficient C code from Cython code. This makes Cython the ideal language for writing glue code for external C/C++ libraries, and for fast C modules that speed up the execution of Python code.
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Cython is a compiled language that is typically used to generate CPython extension modules. Annotated Python-like code is compiled to C and then automatically wrapped in interface code , producing extension modules that can be loaded and used by regular Python code using the import statement, but with significantly less computational overhead ...
