Python and Matplotlib essentials for scientists and engineers /

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"Version: 20140601"--Title page verso."A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.Includes bibliographical references and index.Preface -- Introduction : why Python and Matplotlib? -- Numerical analysis and publication-quality plots -- Enter Python -- ResourcesDownloading and installationFirst steps -- Working with strings -- Accessing user input -- Your first Python program fileWorking with numbers -- A powerful calculator -- Lists, tuples and arraysNumPy arrays -- Creating and reshaping arrays -- Basic operations with arrays -- Dictionaries -- Basic statistics -- Universal functions -- Precision and round-off error -- NumPy matrix objectsFile input and output -- Reading from a file -- Writing to a fileSimple programing : flow control -- Conditionals -- if-elif-else statements -- for loops -- while statements -- break, continue and pass statementsFunctions and modules -- Introduction : coding best practices -- Simple Python functions and modules -- Functions with keyword arguments -- Functional programming : list comprehension, lambda, map and filterClasses and class methods -- Introduction -- Class attributes -- Copying and deep copying -- MethodsMaking 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 on plots, rc params and inset figures -- Image plots with imshow -- 3D plotsApplications -- Fits to data -- Numerical integration -- Integrating ordinary differential equations -- Fourier transforms -- Writing sound filesVisualization and animations -- VPython -- Making figures with Mayavi -- AnimationsInterfacing with other languages.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.Scientists and engineers in all disciplines/students (high school, undergraduate, graduate).Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader.Matt A. Wood graduated with a BS degree in Physics from Iowa State University, and Master's and PhD degrees in Astronomy from the University of Texas at Austin. He spent a year as a NATO Postdoctoral Fellow at the Universit?e de Montreal in Quebec before accepting a position as assistant professor at The Florida Institute of Technology. He spent the 2008-2009 academic year on sabbatical at Radboud University in Nijmegen, the Netherlands, where he was first introduced to the Python programming language. In 2012, he joined the Department of Physics & Astronomy at Texas A&M University-Commerce as department head. His current research focuses on mass-transfer binary star systems known as cataclysmic variables. He has been an author on more than 80 peer-reviewed publications, and a similar number of non-refereed publications. He lives in Greenville, Texas, and when not doing astronomy or administrative tasks he enjoys playing guitar and bass, walking his Doberman, Dexter, and exploring the world with his wife Janie.Title from PDF title page (viewed on July 1, 2015).

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Call Number

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Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9781627056205

Classification

005.13/3

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-

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-

Edition

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Subject(s)

Science
Engineering
Python (Computer program language)
Programming and scripting languages: general.
COMPUTERS / Programming Languages / Python.

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Statement of Responsibility

Matt A. Wood.

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