Book Image

Learning Python

By : Fabrizio Romano
Book Image

Learning Python

By: Fabrizio 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 (20 chapters)
Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
Index

Generators


Generators are one very powerful tool that Python gifts us with. They are based on the concepts of iteration, as we said before, and they allow for coding patterns that combine elegance with efficiency.

Generators are of two types:

  • Generator functions: These are very similar to regular functions, but instead of returning results through return statements, they use yield, which allows them to suspend and resume their state between each call

  • Generator expressions: These are very similar to the list comprehensions we've seen in this chapter, but instead of returning a list they return an object that produces results one by one

Generator functions

Generator functions come under all aspects like regular functions, with one difference: instead of collecting results and returning them at once, they can start the computation, yield one value, suspend their state saving everything they need to be able to resume and, if called again, resume and perform another step. Generator functions are...