Book Image

Expert Python Programming - Fourth Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Fourth Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.
Table of Contents (16 chapters)
14
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15
Index

Summary

In this chapter, we've learned about the optimization process, from identifying possible bottlenecks, through common profiling techniques, to useful optimization techniques that can be applied to a wide variety of performance problems.

This chapter concludes the book, the same way that optimization usually concludes application development cycles. We perform an optimization process on applications that are known to work well. That's why it is important to have proper methodologies and processes set in place that will ensure that our application continues to work properly.

While optimization often concentrates on reducing algorithmic and computational complexity, it can increase different kinds of complexity. Optimized applications are often harder to read and understand, and so are more complex in terms of readability and maintainability. Architectural trade-offs often rely on introducing dedicated services or using solutions that sacrifice part of application...