Book Image

Expert Python Programming - Third Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Third Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Before You Start
4
Section 2: Python Craftsmanship
12
Section 3: Quality over Quantity
16
Section 4: Need for Speed
20
Section 5: Technical Architecture
23
reStructuredText Primer

Optimization - Some Powerful Techniques

Optimization is the process of making an application work more efficiently without modifying its functionality and accuracy. In the previous chapter, we learned how to identify performance bottlenecks and observe resource usage in code. In this chapter, we will learn how to use that knowledge to make an application work faster and use resources with greater efficiency.

Optimization is not a magical process. It is done by following a simple algorithm synthesized by Stefan Schwarzer at EuroPython 2006. The original pseudocode of this example is as follows:

def optimize(): 
    """Recommended optimization""" 
    assert got_architecture_right(), "fix architecture" 
    assert made_code_work(bugs=None), "fix bugs" 
    while code_is_too_slow(): 
        wbn = find_worst_bottleneck(just_guess...