MATLAB and Python are the two powerhouse languages for engineers, scientists, and data analysts, essential for numerical computing, simulation, and analysis. MATLAB is highly used to tackle scenarios such as signal processing, thermal simulations, structural analysis, modeling of mathematical systems, etc. On the other hand, Python has its own demand in different fields, such as data analysis, data visualization, machine learning, statistical modeling, classification models, regression models, quantitative analysis, etc.
This book develops an understanding of how MATLAB and Python can be used in parallel ways to deal with coding problems. A deep understanding of several concepts is provided via MATLAB and Python, such as variables and data types, basic operations, control flow and structures, functions, data handling, plotting and visualization, signal processing, image processing, etc. With the help of several hands-on examples, readers will be able to gain practical insights and will also be able to tackle real-life problems.
By the end of this book, readers will be able to have confidence to code in MATLAB and Python, along with an understanding of the strengths of each tool. This book will give readers the ability to write efficient code, how to do data analysis, how to create visualizations, and how to deal with signal and image processing in an easy and efficient way.
WHAT YOU WILL LEARN
● Gain full insights about data handling and data visualization in MATLAB and Python.
● Knowledge about signal and image processing in MATLAB and Python.
● Apply coding skills to solve real-world problems.
● Selection of right language for specific coding tasks.
● Compare matrices, lists, tuples, and cell arrays.
● Execute matrix operations and advanced string handling.
● Implement conditional logic and iterative loop structures.
● Implement signal and image processing with OpenCV and libraries.
WHO THIS BOOK IS FOR
This book is ideal for engineering students, researchers, scientists, and data analysts with foundational programming knowledge who aim to efficiently transition or compare skills across MATLAB and Python for scientific computing.
Dr. Mamta Kapoor is a mathematician and researcher. Her research areas are numerical approximation of linear and non-linear partial differential equations, semi-analytical solution of fractional partial differential equations, fractional calculus, fuzzy calculus, scientific computing, numerical analysis, and fluid mechanics. She has 58 research publications in national/international journals of repute (Scopus indexed). Along with this research, she has a number of certifications in data science due to her deep interest in this field. Some of the related certifications are: Professional Certificate Course in data science from E & ICT Academy, IIT Kanpur; Advanced Certification in applied data science, Machine Learning & IoT organized by E & ICT Academy, Indian Institute of Technology, Guwahati; etc.
Dr. Geeta Arora is a mathematician and researcher. She earned her Ph.D. in mathematics from IIT Roorkee in 2011. Her research focuses on the development of numerical methods and statistics, with specific interests in computational techniques, numerical analysis, partial differential equations, working with collocation methods, differential quadrature techniques, wavelets, and radial basis functions. She has a substantial publication record, including around 85 research papers (Scopus indexed) in international and national journals. Additionally, she has authored 15 book chapters, written books on Vedic Mathematics and Essential Statistics, and edited several books on numerical methods. She has also conducted various short-term courses and workshops on MATLAB programming and applications, along with Vedic Mathematics.
