Applying Math with Python
Practical recipes for solving computational math problems using Python programming and its libraries
Created by Sam Morley
Explore practical ways to solve real-world math problems using Python and its scientific libraries. You'll learn how to model, compute, and interpret mathematical challenges across fields like calculus, statistics, and optimization. Build confidence applying Python to a wide range of computational math scenarios.
Packt | Jul 2020 | 358 min
What You Will Learn
You'll work through practical examples that show how to use Python's scientific stack, including NumPy, SciPy, and Matplotlib. Each section focuses on a specific math topic, guiding you through hands-on coding exercises and real-world applications. You'll learn how to adapt solutions to fit different problem types and domains.
Key Features
- Use Python libraries to solve problems in calculus, statistics, and optimization
- Model real-world scenarios as mathematical objects and analyze results efficiently
- Apply practical coding techniques for data science, graph theory, and geometry
Target Audience
This course is ideal for programmers and students who want to apply Python to solve mathematical problems. If you have a basic understanding of Python and general math concepts, you'll be able to follow along and expand your skills. It's a great fit if you're interested in data science, engineering, or computational math.
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