Advanced Python Programming (2 ed)

Advanced Python Programming: Accelerate your Python programs using proven techniques and design patterns, 2nd Edition

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.

In this book, you'll explore tools to improve performance and take your Python programs to the next level.

This book starts by examining built-in and external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimization. You'll 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.

You'll also understand the common problems that cause undesirable behavior in concurrent programs.

Finally, you'll 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, you'll 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 learn

• Write efficient numerical code with NumPy, pandas, and Xarray
• Use Cython and Numba to achieve native performance
• Find bottlenecks in your Python code using profilers
• Optimize your machine learning models with JAX
• Implement multithreaded, multiprocessing, and asynchronous programs
• Solve common problems in concurrent programming, such as deadlocks
• Tackle architecture challenges with design patterns