Overview
"Applying Math with Python" is your practical guide to solving computational mathematics challenges effectively using Python programming. Throughout this book, you'll explore Python's capabilities and its libraries such as NumPy, SciPy, and Matplotlib to address real-world mathematical problems. By the end, you'll have the skills to model and solve complex problems across various domains.
What this Book will help me do
- Efficiently utilize Python's scientific stack including NumPy, SciPy, and Matplotlib for mathematical computations.
- Develop problem-solving skills in calculus, probability, graph theory, and optimization using Python.
- Understand applied mathematical techniques and employ them in computational scenarios, such as data analysis.
- Harness Python's capabilities to create visualizations that reflect mathematical data and models.
- Implement solutions to practical problems including forecasting, statistics, and geometric optimization in Python.
Author(s)
None Morley and Sam Morley are experienced educators and engineers with a deep understanding of computational mathematics and Python programming. They have crafted this book to make advanced mathematical topics accessible through real-world examples. Their engaging style ensures readers not only learn but also enjoy the process of discovering Python's mathematical potential.
Who is it for?
This book is ideal for programmers and engineering students seeking to utilize Python for computational and applied mathematics. It suits readers with a foundational knowledge of Python and basic mathematics, looking to advance their technical toolbox in scientific computing. For enthusiasts aiming to enhance their problem-solving skills in mathematics, this book serves as a highly adaptable and practical guide.