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Learning Python

Learning Python

By : Romano
4.1 (21)
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Learning Python

Learning Python

4.1 (21)
By: Romano

Overview of this book

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Table of Contents (14 chapters)
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13
Index

Built-in functions


Python comes with a lot of built-in functions. They are available anywhere and you can get a list of them by inspecting the builtin module with dir(__builtin__), or by going to the official Python documentation. Unfortunately, I don't have the room to go through all of them here. Some of them we've already seen, such as any, bin, bool, divmod, filter, float, getattr, id, int, len, list, min, print, set, tuple, type, and zip, but there are many more, which you should read at least once.

Get familiar with them, experiment, write a small piece of code for each of them, make sure you have them at the tip of your fingers so that you can use them when you need them.

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Learning Python
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