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Symbolic Computation with Python and SymPy - Volume 2: Linear Algebra, Code Generation, Plotting
SymPy is an open-source, lightweight and cross-platform Computer Algebra System written in Python that enables the manipulation of mathematical expressions in an analytical form. It can be used in a variety of disciplines in engineering and science to perform common analytical computations such as differentiation and integration, simplifying and manipulating expressions for greater insight, solving algebraic and differential equations, plotting, mathematical modeling and more.
Symbolic Computation with Python and SymPy takes you through SymPy's capabilities, with sample code and in-depth guided exercises. If you are just starting with SymPy, or want to go deeper, you will learn how to integrate this library into your workflow.This is Volume 2 - Linear Algebra, Plotting and Code Generation. It
Explore linear algebra and multi-dimensional functionalities (matrices, vectors, ...).Gain hands-on experience with guided exercises and many Cheat Sheets.Solve algebraic equations, inequalities and differential equations.Use calculus, multi-dimensional and plotting functionalities.Generate Equations of Motion of mechanical systems, set up numerical simulations and visualize the results.Convert symbolic expressions into numerical functions for fast evaluation with NumPy and SciPy and leverage Cython to get the best speed up.Translate symbolic expressions to a target programming language, such as C/C++, Javascript, Matlab/Octave, Julia and more.Explore SymPy architecture and use Object-Oriented Programming to extend its capabilities.Volume 2 - Linear Algebra, Equations of Motion, Code Generation, Plotting covers the second half of the printed book.Source Code available at Github
Symbolic Computation with Python and SymPy takes you through SymPy's capabilities, with sample code and in-depth guided exercises. If you are just starting with SymPy, or want to go deeper, you will learn how to integrate this library into your workflow.This is Volume 2 - Linear Algebra, Plotting and Code Generation. It
Explore linear algebra and multi-dimensional functionalities (matrices, vectors, ...).Gain hands-on experience with guided exercises and many Cheat Sheets.Solve algebraic equations, inequalities and differential equations.Use calculus, multi-dimensional and plotting functionalities.Generate Equations of Motion of mechanical systems, set up numerical simulations and visualize the results.Convert symbolic expressions into numerical functions for fast evaluation with NumPy and SciPy and leverage Cython to get the best speed up.Translate symbolic expressions to a target programming language, such as C/C++, Javascript, Matlab/Octave, Julia and more.Explore SymPy architecture and use Object-Oriented Programming to extend its capabilities.Volume 2 - Linear Algebra, Equations of Motion, Code Generation, Plotting covers the second half of the printed book.Source Code available at Github
422 pages, Kindle Edition
Published October 5, 2021
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