_PDF_ Cython: A Guide for Python Programmers
COPY LINK: https://pdf.bookcenterapp.com/yumpu/1491901551 Build software that combines Pythonâ??s expressivity with the performance and control of C (and C++). Itâ??s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, youâ??ll learn how to use Cython to improve Pythonâ??s performanceâ??up to 3000xâ?? and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you through Cythonâ??s capabilities, with sample code and in-depth practice exercises. If youâ??re just starting with Cython, or want to go deeper, youâ??ll learn how this language is an essential part of any performance-oriented Python programmerâ??s arsenal.Use Cythonâ??s static typing to speed up Python codeGain hands-on experience using Cython features to boost your numeric-heavy PythonCreate new types with Cythonâ??and see how fast object-oriented programming in Python can beEffectively organize Cython code into separate modules and packages without sacrificing performanceUse Cython to give Pythonic interfaces to C and C++ librariesOptimize code with Cythonâ??s runtime and compile-time profiling toolsUse Cythonâ??s prange function to parallelize loops transparently with OpenMP
COPY LINK: https://pdf.bookcenterapp.com/yumpu/1491901551
Build software that combines Pythonâ??s expressivity with the performance and control of C (and C++). Itâ??s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, youâ??ll learn how to use Cython to improve Pythonâ??s performanceâ??up to 3000xâ?? and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you through Cythonâ??s capabilities, with sample code and in-depth practice exercises. If youâ??re just starting with Cython, or want to go deeper, youâ??ll learn how this language is an essential part of any performance-oriented Python programmerâ??s arsenal.Use Cythonâ??s static typing to speed up Python codeGain hands-on experience using Cython features to boost your numeric-heavy PythonCreate new types with Cythonâ??and see how fast object-oriented programming in Python can beEffectively organize Cython code into separate modules and packages without sacrificing performanceUse Cython to give Pythonic interfaces to C and C++ librariesOptimize code with Cythonâ??s runtime and compile-time profiling toolsUse Cythonâ??s prange function to parallelize loops transparently with OpenMP
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Cython: A Guide for Python Programmers
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COPY LINK: https://pdf.bookcenterapp.com/yumpu/1491901551 Build software that combines
Pythonâ?s expressivity with the performance and control of C (and C++). Itâ?s possible
with Cython, the compiler and hybrid programming language used by foundational packages such
as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical
guide, youâ?ll learn how to use Cython to improve Pythonâ?s performanceâ?up to
3000xâ? and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you
through Cythonâ?s capabilities, with sample code and in-depth practice exercises. If
youâ?re just starting with Cython, or want to go deeper, youâ?ll learn how this language
is an essential part of any performance-oriented Python programmerâ?s arsenal.Use
Cythonâ?s static typing to speed up Python codeGain hands-on experience using Cython
features to boost your numeric-heavy PythonCreate new types with Cythonâ?and see how
fast object-oriented programming in Python can beEffectively organize Cython code into separate
modules and packages without sacrificing performanceUse Cython to give Pythonic interfaces to
C and C++ librariesOptimize code with Cythonâ?s runtime and compile-time profiling
toolsUse Cythonâ?s prange function to parallelize loops transparently with OpenMP
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