Read e-book online Cython: A Guide of Python Programmers PDF
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 programs equivalent to NumPy, and famous in tasks together with Pandas, h5py, and scikits-learn. during this useful advisor, 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 features, with pattern code and in-depth perform routines. If you're simply beginning with Cython, or are looking to cross deeper, you'll find out how this language is a vital a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on event utilizing Cython positive aspects to spice up your numeric-heavy Python
• Create new varieties 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 provide 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 resources for Cython: A Guide of Python Programmers
2 Once we have a C compiler and the cython compiler in place, we are ready to follow along with the distutils and pyximport sections in this chapter. Additionally, we will need to have IPython installed to use Cython from within IPython. The packaged distributions include IPython, or we can use pip to install it. The Standard Way: Using distutils with cythonize Python’s standard library includes the distutils package for building, packaging, and distributing Python projects. The distutils package has many features; of interest to us is its ability to compile C source into an extension module, the second stage in the pipeline.
There may be a pause after we press return when ending a new Cython code block and before the next input prompt appears: that is IPython compiling and loading the code block behind the scenes. We can always inspect the generated source file if necessary. ipython/cython on an OS X or *nix system). The module names are not easily readable because they are formed from the md5 hash of the Cython source code, but all the contents are there. We can pass optional arguments to the %%cython magic command.
We can pass optional arguments to the %%cython magic command. pyx file --cplus Instructs cython to generate C++ source -a, --annotate Instructs cython to output an annotated source file (see Chapter 9) -f, --force Forces cython to regenerate C or C++ source The second set of options allows us to control the second pipeline stage: 20 | Chapter 2: Compiling and Running Cython Code -I, --include Adds extra directories to search for file inclusions and cimports -c, --compile-args Allows inclusion of extra C compiler arguments --link-args Allows inclusion of extra link arguments -L Adds extra library search directories -l Adds extra library names to link against There are other Cython magic commands that are loaded by %load_ext cythonmagic: the %%cython_inline command and the %%cython_pyximport command.
Cython: A Guide of Python Programmers by Kurt W. Smith