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

Some performance considerations

So, we've seen that we have many different ways of achieving the same result. We can use any combination of map(), zip(), and filter(), or choose to go with a comprehension or a generator. We may even decide to go with for loops; when the logic to apply to each running parameter isn't simple, these may be the best option.

Besides readability concerns, though, let's also talk about performance. When it comes to performance, usually there are two factors that play a major role: space and time.

Space means the size of the memory that a data structure is going to take up. The best way to choose is to ask yourself if you really need a list (or tuple), or whether a simple generator function would work instead.

If the answer is yes to the latter, go with the generator, as it will save a lot of space. The same goes for functions: if you don't actually need them to return a list or tuple, then you can transform them...