Chapter 1, Benchmark and Profiling, will teach you how to assess the performance of Python programs and practical strategies on how to identify and isolate the slow sections of your code.
Chapter 2, Pure Python Optimizations, discusses how to improve your running times by order of magnitudes using the efficient data structures and algorithms available in the Python standard library and pure-Python third-party modules.
Chapter 3, Fast Array Operations with NumPy and Pandas, is a guide to the NumPy and Pandas packages. Mastery of these packages will allow you to implement fast numerical algorithms with an expressive, concise interface.
Chapter 4, C Performance with Cython, is a tutorial on Cython, a language that uses ...
