Advanced Python Programming - Second Edition

Write fast robust and highly reusable applications using Pythons internal optimization state-of-the-art performance-benchmarking tools and cutting-edge librariesKey FeaturesBenchmark profile and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook DescriptionPythons powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.In this book youll explore the tools that allow you to improve performance and take your Python programs to the next level.This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle such as benchmarking profiling and optimizing. Youll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks including training machine learning models.The book covers concurrency a major solution to making programs more efficient and scalable and various concurrent programming techniques such as multithreading multiprocessing and asynchronous programming.Youll also understand the common problems that cause undesirable behavior in concurrent programs.Finally youll work with a wide range of design patterns including creational structural and behavioral patterns that enable you to tackle complex design and architecture challenges making your programs more robust and maintainable.By the end of the book youll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.What you will learnWrite efficient numerical code with NumPy pandas and XarrayUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersOptimize your machine learning models with JAXImplement multithreaded multiprocessing and asynchronous programsSolve common problems in concurrent programming such as deadlocksTackle architecture challenges with design patternsWho this book is forThis book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful including software engineers scientific programmers and software architects.