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You're reading from NumPy Essentials

Product typeBook

Published inApr 2016

Reading LevelIntermediate

Publisher

ISBN-139781784393670

Edition1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (3):

Leo (Liang-Huan) Chin

Tanmay Dutta

Shane Holloway

View More author details

Summary

In this chapter, we covered some basics of the NumPy ndarray object. We studied some elementary ways of creating NumPy arrays. We also took a look at the differences between copies and views of arrays and how these can affect using indexing and slicing. We saw the subtle differences between the memory layouts offered by NumPy. We are now equipped with the basic vocabulary of the ndarray object and can get started on the core functionality of NumPy. In the next chapter, we will explore more details of ndarray and show you some of them using certain tricks and tips (universal functions and shape manipulation) to make your NumPy script speed up!

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NumPy Essentials

Published in: Apr 2016Publisher: ISBN-13: 9781784393670

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/.
Read more about Leo (Liang-Huan) Chin

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.
Read more about Tanmay Dutta

Shane Holloway

http://shaneholloway.com/resume/
Read more about Shane Holloway

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Authors (3)

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