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Learn Web Development with Python

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

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Product type Course
Published in Dec 2018
Publisher
ISBN-13 9781789953299
Length 796 pages
Edition 1st Edition
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Authors (3):
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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
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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

Generation behavior in built-ins


Among the built-in types, the generation behavior is now quite common. This is a major difference between Python 2 and Python 3. A lot of functions, such as map, zip, and filter, have been transformed so that they return objects that behave like iterables. The idea behind this change is that if you need to make a list of those results, you can always wrap the call in a list() class, and you're done. On the other hand, if you just need to iterate and want to keep the impact on memory as light as possible, you can use those functions safely.

Another notable example is the range function. In Python 2 it returns a list, and there is another function called xrange that returns an object that you can iterate on, which generates the numbers on the fly. In Python 3 this function has gone, and range now behaves like it.

 

But this concept, in general, is now quite widespread. You can find it in the open() function, which is used to operate on file objects (we'll see...

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