By Kurt W. Smith
Build software program that mixes Python’s expressivity with the functionality and keep watch over of C (and C++). It’s attainable with Cython, the compiler and hybrid programming language utilized by foundational applications comparable to NumPy, and widespread in tasks together with Pandas, h5py, and scikits-learn. during this sensible advisor, you’ll how you can 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 cross deeper, you’ll learn the way this language is a necessary a part of any performance-oriented Python programmer’s arsenal.
- Use Cython’s static typing to hurry up Python code
- Gain hands-on event utilizing Cython beneficial properties to spice up your numeric-heavy Python
- Create new varieties with Cython—and see how briskly object-oriented programming in Python can be
- Effectively arrange Cython code into separate modules and programs 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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Additional info for Cython - A guide for Python programmers
Pyd extension module, and usage is identical to the Mac OS X version. py build_ext -i --compiler=msvc ... Consult the linked documentation for details. Using Our Extension Module Whether on Mac OS X, Linux, or Windows, once we have compiled our extension module, we can bring up our Python or IPython interpreter and import the fib module: $ ipython --no-banner In : import fib If no ImportError is raised, then the compilation was likely successful. We can use IPython’s handy introspection features to provide more details about our extension module: In : fib?
Installing and Testing Our Setup Now that we know about the two stages in the compilation pipeline, we need to ensure that we have both a C (or C++) compiler and the cython compiler installed and working. Different platforms have different options. ) for how to install GCC and the Python development package (often called python-dev, or some var‐ iant) to acquire the Python headers. Mac OS X Install the free OS X developer tools via Xcode; this provides a GCC-like compiler. Windows The recommended compiler to use on Windows is Visual Studio, the same version used to compile the Python runtime.
If this is the case, an out-of-date IPython is likely the culprit; please update to a more recent version. : a, b = a+b, a return a In : The %%cython magic command allows us to write a block of Cython code directly in the IPython interpreter. After exiting the block with two returns, IPython will take the Cython code we defined, paste it into a uniquely named Cython source file, and compile it into an extension module. If compilation is successful, IPython will import everything from that module to make the fib function available in the IPython interactive name‐ space.