Book Image

Learn Python Programming, 3rd edition - Third Edition

By : Fabrizio Romano, Heinrich Kruger
5 (1)
Book Image

Learn Python Programming, 3rd edition - Third Edition

5 (1)
By: Fabrizio Romano, Heinrich Kruger

Overview of this book

Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries. This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter. The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned.
Table of Contents (18 chapters)
16
Other Books You May Enjoy
17
Index

Generation behavior in built-ins

Generator-like behavior is quite common among the built-in types and functions. This is a major difference between Python 2 and Python 3. In Python 2, functions such as map(), zip(), and filter() returned lists instead of iterable objects. 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 returned a list, and there was another function called xrange() that behaved like the range() function now behaves in Python 3.

The idea of functions and methods that return iterable objects is quite widespread. You can find it in the open() function, which is used to operate on file objects (we'll see it in Chapter 8, Files and Data Persistence),...