Python Programming And Numerical Methods: A Guide For Engineers And Scientists
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.
2021
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.
Contents:
Python basics
Variables and basic data structures
Functions, branching statements
Iteration
Recursion
Object-oriented programming
Complexity
Representation of numbers
Erros
Good programming practices and debugging
Reading and writing data
Visualization and plotting
Parallelize your python
Linear algebra and systems of linear equations
genvalues and eigenvectors
Least squares regression
Interpolation
Taylor series
Root finding
Numerical differentiation
Numerical integration
Ordinary differential equation (ODEs) intial-value problems
Boundary-value problems for ordinary differential equations (ODEs)
Fourier transform.
Qingkai Kong, Timmy Siauw; Python Programming And Numerical Methods: A Guide For Engineers And Scientists; Elsevier, 2021
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