Python programming and numerical methods

Python programming and numerical methods: a guide for engineers and scientists

by Bayen, Alexandre M. Kong, Qingkai Siauw, Timmy

Type Book
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"Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorit…

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Title Statements

  • Full title :Python programming and numerical methods : a guide for engineers and scientists / Qingkai Kong, Timmy Siauw and Alexandre M. Bayen.

Summary

"Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings."

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Edition Statements

  • Publication Date:©2021

Publication Statements

Notes

Includes index.

The Physical Object

  • Description:xxiv, 456 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9780128195499, 0128195495
  • oclc:on1117626605
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.1330245

Table of Contents

Part 1. Introduction to Python programming -- Python basics -- Variables and basic data structures -- Functions -- Branching statements -- Iteration -- Recursion -- Object-oriented programming -- Complexity -- Representation of numbers -- Errors, good programming practices, and debugging -- Reading and writing data -- Visualization and plotting -- Parallelize your Python -- Part 2. Introduction to numerical methods -- Linear algebra and systems of linear equations -- Eigenvalues and eigenvectors -- Least squares regression -- Interpolation -- Taylor series -- Root finding -- Numerical differentiation -- Numerical integration -- Ordinary differential equations (ODEs) initial-value problems -- Boundary-value problems for ordinary differential equations (ODEs) -- Fourier transform -- Appendix A : getting started with Python in Windows.

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Subjects

Analyse numérique -- Informatique Engineering -- Data processing Ingénierie -- Informatique Numerical analysis -- Data processing Python (Computer program language) Python (Langage de programmation) Science -- Data processing Sciences -- Informatique

Writers

Bayen, Alexandre M. Kong, Qingkai Siauw, Timmy

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