By Kurt W. Smith
Build software program that mixes Python's expressivity with the functionality and keep an eye on of C (and C++). It's attainable with Cython, the compiler and hybrid programming language utilized by foundational programs equivalent to NumPy, and favorite in initiatives together with Pandas, h5py, and scikits-learn. during this functional consultant, you'll use Cython to enhance Python's performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you thru Cython's functions, with pattern code and in-depth perform routines. If you're simply beginning with Cython, or are looking to move deeper, you'll find out how this language is an important a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on adventure utilizing Cython beneficial properties to spice up your numeric-heavy Python
• Create new kinds with Cython—and see how briskly object-oriented programming in Python can be
• successfully arrange Cython code into separate modules and applications with out sacrificing performance
• Use Cython to offer Pythonic interfaces to C and C++ libraries
• Optimize code with Cython's runtime and compile-time profiling tools
• Use Cython's prange functionality to parallelize loops transparently with OpenMP
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Neither the decorator form nor the context-manager form of a directive is affected by directive comments or command-line directives. In the following chapters we will point out what directives are available and what they do. A comprehensive list of directives is also found in the online Cython documentation. Summary Now that we have covered the Cython compiler pipeline and various ways to compile Cython source into an importable Python extension module, we have the necessary knowledge to work with the examples throughout the rest of this book.
There are thirdparty build commands that can properly detect the cython compiler and fold Cython code into a standard CMake-compiled project. cxx) SCons and Cython SCons is a full build system written in Python. Cython comes with basic SCons support in the Tools directory. py files to extend SCons with Cython support that can be incorporated into our own SCons-based build system. Make and Cython Cython can be incorporated into a make-based build system. To help with portability, it is recommended to query the Python interpreter itself to determine the right compila‐ tion and linking flags to use.
When converting integral types from Python to C, Cython generates code that checks for overflow. If the C type cannot represent the Python integer, a runtime OverflowError is raised. fold compiler direc‐ tives (see “Compiler Directives” on page 28) that will catch overflow errors when we are working with C integers. If overflowcheck is set to True, Cython will raise an OverflowError for overflowing C integer arithmetic operations. fold directive, when set, may help remove some overhead when overflowcheck is enabled.