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You're reading from  NumPy Essentials

Product typeBook
Published inApr 2016
Reading LevelIntermediate
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ISBN-139781784393670
Edition1st Edition
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Authors (3):
Leo (Liang-Huan) Chin
Leo (Liang-Huan) Chin
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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
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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
Shane Holloway
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Shane Holloway

http://shaneholloway.com/resume/
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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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NumPy Essentials
Published in: Apr 2016Publisher: ISBN-13: 9781784393670

Authors (3)

author image
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

author image
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

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Shane Holloway

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