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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

Concepts

Authors (3):

Leo (Liang-Huan) Chin

Tanmay Dutta

Shane Holloway

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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

Multithreaded code

Chances are that your application may be using multithreaded code. Python is not considered suitable for multithreaded code because of the Global Interpreter Lock (GIL). The good news is that, in Cython, you can explicitly unlock the GIL and make your code truly multithreaded. This is done by simply putting a statement with nogil: in your code. You can later acquire the GIL using with gil in your code:

with nogil: 
<The code block here> 
function_name(args) with gil:  
<function body>

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Authors (3)

Leo (Liang-Huan) Chin

Leo (Liang-Huan) Chin is a data engineer with more than 5 years of experience in the field of Python. He works for Gogoro smart scooter, Taiwan, where his job entails discovering new and interesting biking patterns . His previous work experience includes ESRI, California, USA, which focused on spatial-temporal data mining. He loves data, analytics, and the stories behind data and analytics. He received an MA degree of GIS in geography from State University of New York, Buffalo. When Leo isn't glued to a computer screen, he spends time on photography, traveling, and exploring some awesome restaurants across the world. You can reach Leo at http://chinleock.github.io/portfolio/.

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Tanmay Dutta

Tanmay Dutta is a seasoned programmer with expertise in programming languages such as Python, Erlang, C++, Haskell, and F#. He has extensive experience in developing numerical libraries and frameworks for investment banking businesses. He was also instrumental in the design and development of a risk framework in Python (pandas, NumPy, and Django) for a wealth fund in Singapore. Tanmay has a master's degree in financial engineering from Nanyang Technological University, Singapore, and a certification in computational finance from Tepper Business School, Carnegie Mellon University.

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Shane Holloway

http://shaneholloway.com/resume/

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