You're reading from Scientific Computing with Python - Second Edition

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Published inJul 2021

Reading LevelIntermediate

PublisherPackt

ISBN-139781838822323

Edition2nd Edition

Languages

Python

Tools

NumPy Pandas

Concepts

Scientific Computing

Authors (3):

Claus Führer

Jan Erik Solem

Olivier Verdier

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13.3.4 Some useful modules

The list of useful Python modules is vast. In the following table, we have given a very short segment of such a list, focused on modules related to mathematical and engineering applications (Table 13.2):

Module	Description
`scipy`	Functions used in scientific computing
`numpy`	Support arrays and related methods
`matplotlib`	Plotting and visualization
`functools`	Partial application of functions
`itertools`	Iterator tools to provide special capabilities, such as slicing to generators
`re`	Regular expressions for advanced string handling
`sys`	System-specific functions
`os`	Operating system interfaces such as directory listing and file handling
`datetime`	Representing dates and date increments
`time`	Returning wall clock time
`timeit`	Measuring execution time
`sympy`	Computer arithmetic package (symbolic computations...

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Scientific Computing with Python - Second Edition

Published in: Jul 2021Publisher: PacktISBN-13: 9781838822323

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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13.3.4 Some useful modules

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