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Learn Python Programming

Learn Python Programming - Second Edition

By : Romano
4.1 (28)
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Learn Python Programming

Learn Python Programming

4.1 (28)
By: Romano

Overview of this book

Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.
Table of Contents (16 chapters)
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Summary

In this chapter, we explored the concept of iteration and generation a bit more deeply. We looked at the map, zip, and filter functions in detail, and learned how to use them as an alternative to a regular for loop approach.

Then we covered the concept of comprehensions, for lists, dictionaries, and sets. We explored their syntax and how to use them as an alternative to both the classic for loop approach and also to the use of the map, zip, and filter functions.

Finally, we talked about the concept of generation, in two forms: generator functions and expressions. We learned how to save time and space by using generation techniques and saw how they can make possible what wouldn't normally be if we used a conventional approach based on lists.

We talked about performance, and saw that for loops are last in terms of speed, but they provide the best readability and flexibility...

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Learn Python Programming
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