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

Python in Comparison with Other Languages

Many programmers come to Python with prior experience of other programming languages. It happens often that they are already familiar with programming idioms of those languages and try to replicate them in Python. As every programming language is unique, bringing such foreign idioms often leads to overly verbose or suboptimal code.

The classic example of a foreign idiom that is often used by inexperienced programmers is iteration over lists. Someone that is familiar with arrays in the C language could write Python code similar to the following example:

for index in range(len(some_list)):
    print(some_list[index])

An experienced Pythonic programmer would most probably write:

for item in some_list:
    print(item)

Programming languages are often classified by paradigms that can be understood as cohesive sets of features supporting certain "styles of programming." Python is a multiparadigm language and thanks...