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Learn Python Programming, 3rd edition - Third Edition

You're reading from  Learn Python Programming, 3rd edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Pages 554 pages
Edition 3rd Edition
Languages
Authors (2):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Heinrich Kruger Heinrich Kruger
Profile icon Heinrich Kruger
View More author details

Table of Contents (18) Chapters

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 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...

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