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

"Version: 20140601"--Title page verso

Title from PDF title page (viewed on July 1, 2015).

The Physical Object

Description:1 online resource (1 volume (various pagings)) : : illustrations (some color)

Edition Identifiers

ISBN:1627056203, 9781627056205
DOI:10.1088/978-1-6270-5620-5
oclc:ocn913321344
LC Classification:Q183.9
Dewey Decimal:005.13/3

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

Downloading and installation.

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 --…

Subjects

COMPUTERS -- Programming Languages Engineering -- Data processing Ingénierie -- Informatique Programming and scripting languages: ge… Python (Computer program language) Python (Langage de programmation) Science -- Data processing Sciences -- Informatique