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You're reading from Scientific Computing with Python 3

Product typeBook

Published inDec 2016

Reading LevelBeginner

PublisherPackt

ISBN-139781786463517

Edition1st Edition

Languages

Python

Tools

SciPy NumPy

Concepts

Data Analysis

Authors (3):

Claus Führer

Jan Erik Solem

Olivier Verdier

View More author details

Summary

In this chapter, we worked with the most important objects in linear algebra – vectors and matrices. For this, we learned how to define arrays and we met important array methods. A smaller section demonstrated how to use modules from scipy.linalg to solve central tasks in linear algebra.

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Scientific Computing with Python 3

Published in: Dec 2016Publisher: PacktISBN-13: 9781786463517

Authors (3)

Claus Führer

Claus Führer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research collaboration with industry and received Lund University's Faculty of Engineering Best Teacher Award in 2016.
Read more about Claus Führer

Jan Erik Solem

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