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. No previous 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 / Matt A. Wood.

Summary

Edition Statements

Publication Date:2015

Publication Statements

Publisher(s):Morgan & Claypool Publishers
Place of Publication:San Rafael [California]
Language:eng
Publication Date:2015

Notes

Titre de l'écran-titre (visionné le 20 novembre 2017).

In IOPscience.

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

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

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Interfacing with other languages.

The Physical Object

Description:1 ressource en ligne : : illustrations en partie en couleur, fichiers HTML et PDF.

Edition Identifiers

ISBN:9781627056205, 1627056203
DOI:10.1088/978-1-6270-5620-5
oclc:on1132111250
LC Classification:Q183.9
Dewey Decimal:005.13/3

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

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

Working with numbers -- A powerful calculator -- Lists, tuples and arrays

NumPy arrays -- Creating and reshaping arrays -- Basic operations with arrays -- Dictionaries -- Basic statistics -- Universal functions -- Precision and round-off error -- NumPy matrix objects

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

Simple programing : flow control -- Conditionals -- if-elif-else statements -- for loops -- while statements -- break, continue and pass statements

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

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

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 t…

Subjects

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