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Expert Python Programming

Expert Python Programming

By : Michał Jaworski, Ziadé
3 (2)
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Expert Python Programming

Expert Python Programming

3 (2)
By: Michał Jaworski, 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)
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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

Function and variable annotations

Function annotation is one of the most unique features of Python 3. The official documentation states the following:

"Function annotations are completely optional metadata information about the types used by user-defined functions."

However, they are not restricted to type hinting; also, there is no single feature in Python and its standard library that leverages such annotations. This is why this feature is unique – it does not have any syntactic meaning. Annotations can simply be defined for a function and can be retrieved in runtime, but that is all. What to do with them is left to the developers.

Let's take a look at their general syntax and possible uses in the following sections

The general syntax

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