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)
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Common culprits for bad performance

Before we go into the details of profiling, let's first discuss the typical reasons for bad performance in applications.

In practice, many performance problems are pretty common and reoccurring. Knowledge of potential culprits is essential in choosing the right profiling strategy. Also, some specific culprits may manifest in recognizable patterns. If you know what to look for, you will be able to fix obvious performance issues without a detailed analysis and save a lot of time on further optimization attempts.

The most common reasons for experiencing bad application performance are the following:

  • Excessive complexity
  • Excessive resource allocation and resource leaks
  • Excessive I/O and blocking operations

The most dreaded culprit of application inefficiency is excessive complexity, so we will discuss this first.

Code complexity

The first and most obvious thing to look for when trying to improve application...