Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learn Web Development with Python

You're reading from   Learn Web Development with Python Get hands-on with Python Programming and Django web development

Arrow left icon
Product type Course
Published in Dec 2018
Publisher
ISBN-13 9781789953299
Length 796 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (3):
Arrow left icon
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
Arun Ravindran Arun Ravindran
Author Profile Icon Arun Ravindran
Arun Ravindran
Arrow right icon
View More author details
Toc

Table of Contents (33) Chapters Close

Title Page
About Packt
Contributors
Preface
1. A Gentle Introduction to Python 2. Built-in Data Types FREE CHAPTER 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Concurrent Execution 10. Debugging and Troubleshooting 11. Installing the Required Software and Tools 12. Working with Models, Migrations, Serialization, and Deserialization 13. Creating API Views 14. Using Generalized Behavior from the APIView Class 15. Understanding and Customizing the Browsable API Feature 16. Using Constraints, Filtering, Searching, Ordering, and Pagination 17. Securing the API with Authentication and Permissions 18. Applying Throttling Rules and Versioning Management 19. Automating Tests 20. Solutions 21. Templates 22. Admin Interface 23. Forms 24. Security 25. Working Asynchronously 26. Creating APIs 27. Production-Ready 1. Other Books You May Enjoy 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:

  • Functions should do one thing: Functions that do one thing are easy to describe in one short sentence. Functions that do multiple things can be split into smaller functions that 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 that 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 that return...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image