What this book covers
Chapter 1, Profiling 101, provides information about the art of profiling to those who are not aware of it.
Chapter 2, The Profilers, tells you how to use the core tools that will be mentioned throughout the book.
Chapter 3, Going Visual – GUIs to Help Understand Profiler Output, covers how to use the pyprof2calltree and RunSnakeRun tools. It also helps the developer to understand the output of cProfile with different visualization techniques.
Chapter 4, Optimize Everything, talks about the basic process of optimization and a set of good/recommended practices that every Python developer should follow before considering other options.
Chapter 5, Multithreading versus Multiprocessing, discusses multithreading and multiprocessing and explains how and when to apply them.
Chapter 6, Generic Optimization Options, describes and shows you how to install and use Cython and PyPy in order to improve code performance.
Chapter 7, Lightning Fast Number Crunching with Numba, Parakeet, and pandas, talks about tools that help optimize Python scripts that deal with numbers. These specific tools (Numba, Parakeet, and pandas) help make number crunching faster.
Chapter 8, Putting It All into Practice, provides a practical example of profilers, finds its bottlenecks, and removes them using the tools and techniques mentioned in this book. To conclude, we'll compare the results of using each technique.
