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Learn Python Programming

Learn Python Programming - Fourth Edition

By : Fabrizio Romano, Heinrich Kruger
3.5 (2)
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Learn Python Programming

Learn Python Programming

3.5 (2)
By: Fabrizio Romano, Heinrich Kruger

Overview of this book

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.
Table of Contents (20 chapters)
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18
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Index

A quick peek at the itertools module

A chapter about iterables, iterators, conditional logic, and looping would not be complete without a few words about the itertools module. According to the Python official documentation (https://docs.python.org/3.12/library/itertools.html), the itertools module:

…implements a number of iterator building blocks inspired by constructs from APL, Haskell, and SML. Each has been recast in a form suitable for Python.

The module standardizes a core set of fast, memory efficient tools that are useful by themselves or in combination. Together, they form an “iterator algebra” making it possible to construct specialized tools succinctly and efficiently in pure Python.

We do not have room here to show you everything this module has to offer, so we encourage you to explore it further for yourself. However, we can promise that you will enjoy it. It provides you with three broad categories of iterators. As an introduction...

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Learn Python Programming
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