Learning Cython Programming

Description

A practical and a fast-paced guide that gives you all the information you need to start programming using Cython. This book is for developers who love C/C++ for low latency and speed but who also require the ability to add more dynamic features to applications both fast and reliably. It will also show you how you can get new applications off the ground by reusing Python libraries to get started. Abstract: A practical and a fast-paced guide that gives you all the information you need to start programming using Cython. This book is for developers who love C/C++ for low latency and speed but who also require the ability to add more dynamic features to applications both fast and reliably. It will also show you how you can get new applications off the ground by reusing Python libraries to get started Content: Cover Copyright Credits About the Author About the Reviewers www.PacktPub.com Table of Contents Preface Chapter 1: Cython Won't Bite What this book is What this book isn't Installing Cython The emacs mode Getting the code examples Hello World Module on your own Calling into your C code Type conversion Summary Chapter 2: Understanding Cython Cython cdef Linking models The public keyword Logging into Python Python ConfigParser Cython cdef syntax and usage reference Structs Enums Typedef and function pointers Scalable asynchronous servers C sockets with libevent. What is libevent?Messaging engine Cython callbacks Cython PXD Python messaging engine Integration with build systems Python distutils GNU/Autotools Summary Chapter 3: Extending Applications Cython pure Python code Python bindings Python garbage collector Extending Tmux Tmux build system Embedding Python Cythonizing struct cmd_entry Implementing a Tmux command Hooking everything together Compiling pure Python code Summary Chapter 4: Debugging Cython Using GDB on your code Running cygdb General Cython caveats Type checking No * operator Python exceptions in C. For loops on C typesBool type No C const Multiple Cython files Initializing struct Calling into pure Python modules Keeping call stacks small and pure Summary Chapter 5: Advanced Cython C++ constructs Namespaces Classes C++ new keyword and allocation Exceptions Bool type Overloading Templates Static class member attribute Caveat on C++ usage Calling in C and C++ functions Namespaces Python distutils Python threading and GIL Atomic instructions Read/write lock Cython keywords Messaging server revisited More inspiration Messaging server working with SQL. Python IRC notifierUnit testing the native code Preventing subclassing Cython typing via annotations Parsing large amounts of data Summary Chapter 6: Further Reading Keyword cpdef OpenMP support Object initialization Compile time Python 3 Using PyPy AutoPXD Pyrex versus Cython SWIG versus Cython Cython and NumPy Numba versus Cython Parakeet and Numba Links and further reading Summary Index.