Python for Mathematics: Using Python, NumPy by Dipendra Mehra (.PDF)
File Size: 10 MB
Python for Mathematics: Using Python, NumPy, SymPy, and Matplotlib to Solve Algebra, Calculus, Linear Algebra, Statistics, and Numerical Methods Problems by Dipendra Mehra
Requirements: .PDF reader, 10 MB
Overview: Mathematics is far more powerful when combined with programming. Whether you are solving equations, analyzing data, plotting graphs, performing matrix operations, or implementing numerical algorithms, Python provides a simple and efficient way to transform mathematical concepts into practical solutions. Python for Mathematics is a hands-on guide that teaches you how to solve a wide range of mathematical problems using Python and its most popular scientific libraries: NumPy, SymPy, and Matplotlib. Rather than focusing only on theory, this book emphasizes practical problem-solving through clear explanations, step-by-step examples, and fully working Python programs. Designed for students, educators, engineers, researchers, and self-learners, this book gradually builds from Python fundamentals to advanced mathematical computing. All programs presented in this book are compatible with Python 3 and can be executed in environments such as Jupyter Notebook, Google Colab, Visual Studio Code, or any standard Python IDE. Whether you are preparing for university coursework, strengthening your programming skills, supporting engineering and scientific applications, or exploring computational mathematics, this book provides a practical foundation for solving mathematical problems with Python. No prior experience with scientific computing is required. Basic familiarity with Python is helpful but not essential, as the book introduces the necessary programming concepts before progressing to more advanced mathematical applications.
Genre: Non-Fiction > Tech & Devices
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