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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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The matrix class


For linear algebra, using matrices might be more straightforward. The matrix object in NumPy inherits all the attributes and methods from ndarray, but it's strictly two-dimensional, while ndarray can be multi-dimensional. The well-known advantage of using NumPy matrices is that they provide matrix multiplication as the * notation; for example, if x and y are matrices, x * y is their matrix product. However, starting from Python 3.5/NumPy 1.10, native matrix multiplication is supported with the new operator "

However, starting from Python 3.5/NumPy 1.10, native matrix multiplication is supported with the new operator "@". So that is one more good reason to use ndarray ( https://docs.python.org/3/whatsnew/3.5.html#whatsnew-pep-465 ).

However, matrix objects still provide convenient conversion such as inverse and conjugate transpose while an ndarraydoes not. Let's start by creating NumPy matrices:

In [1]: import numpy as np 
In [2]: ndArray = np.arange(9).reshape(3,3) 
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NumPy Essentials
Published in: Apr 2016Publisher: ISBN-13: 9781784393670

Authors (3)

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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

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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.
Read more about Tanmay Dutta

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Shane Holloway

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