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NumPy Essentials

You're reading from  NumPy Essentials

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781784393670
Pages 156 pages
Edition 1st Edition
Languages
Authors (3):
Leo (Liang-Huan) Chin Leo (Liang-Huan) Chin
Profile icon Leo (Liang-Huan) Chin
Tanmay Dutta Tanmay Dutta
Profile icon Tanmay Dutta
Shane Holloway Shane Holloway
Profile icon Shane Holloway
View More author details

Table of Contents (16) Chapters

NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to NumPy 2. The NumPy ndarray Object 3. Using NumPy Arrays 4. NumPy Core and Libs Submodules 5. Linear Algebra in NumPy 6. Fourier Analysis in NumPy 7. Building and Distributing NumPy Code 8. Speeding Up NumPy with Cython 9. Introduction to the NumPy C-API 10. Further Reading

Summary


In this chapter, we covered the basic operations of NumPy and its ufuncs. We took a look at the huge difference between NumPy operations and Python looping. We also took a look at how broadcasting works and what we should avoid. We tried to understand the concept of masking as well.

The best way to use NumPy Arrays is to eliminate loops as much as you can and use ufuncs in NumPy instead. Keep in mind the broadcasting rules and use them with care. Using slicing and indexing with masking makes your code more efficient. Most importantly, have fun while using it.

In the next few chapters, we will cover the core libs of NumPy, including date/time and a file I/O to help you extend your NumPy experience.

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