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Cython (/ ˈ s aɪ θ ɒ n /) is a superset of the programming language Python, which allows developers to write Python code (with optional, C-inspired syntax extensions) that yields performance comparable to that of C. [5] [6] Cython is a compiled language that is typically used to generate CPython extension modules.
spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.
In 2009, a Google sponsored branch named Unladen Swallow was created to incorporate a just-in-time compiler into CPython. [7] [8] Development ended in 2011 without it being merged into the main implementation, [9] though some of its code, such as improvements to the cPickle module, made it in. [10] [7]
Cython compiles (a superset of) Python to C. The resulting code is also usable with Python via direct C-level API calls into the Python interpreter. PyJL compiles/transpiles a subset of Python to "human-readable, maintainable, and high-performance Julia source code". [88]
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
Basically, object code for the language's interpreter needs to be linked into the executable. Source code fragments for the embedded language can then be passed to an evaluation function as strings. Application control languages can be implemented this way, if the source code is input by the user. Languages with small interpreters are preferred.
Further, JIT compilers can speculatively optimize hot code by making assumptions on the code. The generated code can be deoptimized if a speculative assumption later proves wrong. Such operation slows the performance of the running software until code is optimized again by adaptive optimization. An AOT compiler cannot make such assumptions and ...
Another use has been to wrap C++ classes using Shed Skin to allow C++ classes to be used as Python classes. [10] The license of the Shed Skin source code is under two parts. The main compiler code is under the GNU General Public License (GPL). The supporting code that it uses as a run time library is under a BSD or MIT license depending on the ...