Scientific Programming and Data Visualization in Mathematical Modeling

Scientific Programming and Data Visualization in Mathematical Modeling Synopsis

This book is a practical guide introducing the MATLAB and Python programming languages and their capabilities. It provides real-world examples and exercises to demonstrate Python's practical applications in contrast to MATLAB's.
The book follows a sequential learning approach, starting with the coverage of mathematical concepts using MATLAB, and then transitioning to Python. This approach aims to bridge the gap in developing numerical programs in both languages, ensuring a smooth learning experience.
Additionally, the book covers Symbolic computation techniques required in various analytic mathematical models using both MATLAB and Python.
This book is ideal for mathematics students, researchers who need to incorporate mathematical programming in allied disciplines, data science specialists interested in MATLAB and Python numerical techniques.
The main highlights of the proposed work are:
How to solve ordinary differential equations via MATLAB and Python
Dealing with a variety of partial differential equations through MATLAB and Python
Symbolic computation via MATLAB and Python
Data visualization through MATLAB and Python in a comparative mode.