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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

A few useful tips


When writing functions, it's very useful to follow guidelines so that you write them well. I'll quickly point some of them out here:

  • Functions should do one thing: Functions that do one thing are easy to describe in one short sentence. Functions which do multiple things can be split into smaller functions which do one thing. These smaller functions are usually easier to read and understand. Remember the data science example we saw a few pages ago.

  • Functions should be small: The smaller they are, the easier it is to test them and to write them so that they do one thing.

  • The fewer input parameters, the better: Functions which take a lot of arguments quickly become harder to manage (among other issues).

  • Functions should be consistent in their return values: Returning False or None is not the same thing, even if within a Boolean context they both evaluate to False. False means that we have information (False), while None means that there is no information. Try writing functions...

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