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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

An Introduction to NumPy

The NumPy ndarray Object

Using NumPy Arrays

NumPy Core and Libs Submodules

Linear Algebra in NumPy

Fourier Analysis in NumPy

Building and Distributing NumPy Code

Speeding Up NumPy with Cython

Introduction to the NumPy C-API

Further Reading

Summary

In this chapter, we introduced the tools used for packaging and distributing applications. We first looked at a simpler setup.py file. You looked into the attributes of the function setup and how these arguments link up to the final installer. Next we added-NumPy related code and added some exception handling code. Finally, we built the installer and learnt how to upload it on the Cheese Shop (the PyPI website). In the next chapter, you will be looking at ways to further speed up your Python code by converting parts of it into Cython.

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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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