Python and Matplotlib essentials for scientists and engineers

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This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python to analyse data, simulate physical processes, and render publication-quality plots. Noprevious programming experience is needed before reading the first page.

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Title Statements

Full title :Python and Matplotlib essentials for scientists and engineers / MattA. Wood.

Summary

Edition Statements

Publication Date:2015

Publication Statements

Publisher(s):Morgan & Claypool Publishers
Place of Publication:San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA)
Language:eng
Publication Date:2015

Notes

"A Morgan & Claypool publication as part of IOP ConcisePhysics"--Verso de la page de titre.

"Version: 20140601"--Verso de la page de titre.

Downloading and installation

Interfacing with other languages.

The Physical Object

Description:1 ressource en ligne (various pagings) : : illustrations (some color).

Edition Identifiers

ISBN:9781627056205, 1627056203, 162705622X, 9781627056229
DOI:10.1088/978-1-6270-5620-5
oclc:ocn965141049
LC Classification:Q183.9
Dewey Decimal:005.13/3

Preface -- Introduction : why Python and Matplotlib? -- Numericalanalysis and publication-quality plots -- Enter Python -- Resources

Applications -- Fits to data -- Numerical integration -- Integratingordinary differential equations -- Fourier transforms -- Writing sound files

Classes and class methods -- Introduction -- Class attributes -- Copying and deep copying -- Methods

File input and output -- Reading from a file -- Writing to a file

First steps -- Working with strings -- Accessing user input -- Yourfirst Python program file

Functions and modules -- Introduction : coding best practices -- Simple Python functions and modules -- Functions with keyword arguments -- Functional programming : list comprehension, lambda, map and filter

Making plots with Matplotlib -- Simple line and point plots -- Including error bars -- Multiple plots on a page -- Histogram plots -- Quick and easy plotting routines for two-column data -- Customization : text onplots, rc params and inset figures -- Image plots with imshow -- 3D plots

NumPy arrays -- Creating and reshaping arrays -- Basic operations with arrays -- Dictionaries -- Basic statistics -- Universal functions -- Precision and round…

Subjects

e-books Engineering -- Data processing Ingénierie -- Informatique Livres numériques Python (Computer program language) Python (Langage de programmation) Science -- Data processing Sciences -- Informatique