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Start Python with Math: Learn Python Through Mathematics
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Start Python with Math: Learn Python Through Mathematics

Learn Python Programming Through Numbers, Graphs, Statistics, Algebra, Probability, Geometry, and Calculus
Created byDara Chheang
Last updated 10/2026
English

What you'll learn

  • Use Python to perform mathematical calculations with numbers and expressions
  • Use NumPy and SymPy for numerical and symbolic mathematics
  • Build a foundation for using Python in mathematics, science, and engineering
  • Create and customize graphs to visualize mathematical functions and data

Course content

4 sections • 67 lectures • 33h 4m total length
  • Software Installation (Python + VS Code)4:08
  • Introduction to VS Code11:09
  • print() Function25:25
  • Exercise35:19
  • Numbers and Mathematical Operators35:09
  • Exercise36:51
  • Exercise31:25
  • Variables and Data Types38:40
  • Exercise28:35
  • Exercise16:57
  • Integer and Float37:18
  • Exercise13:25
  • Exercise12:11
  • String52:54
  • Exercise21:59
  • Exercise25:56
  • User Input30:23
  • Exercise27:12
  • Exercise21:52
  • Comparison and Boolean Operators40:14
  • Exercise32:59
  • Conditional Statements38:43
  • Exercise27:46
  • Exercise26:17
  • for Loops34:23
  • Exercise20:30
  • Exercise30:34
  • Functions57:11
  • Exercise26:16
  • Exercise21:29

Requirements

  • No prior Python programming experience is required
  • Basic high-school mathematics is helpful but not required
  • A computer with Python installed
  • A willingness to learn and practice Python

Description

Start Python with Math is a beginner-friendly course that teaches Python programming through practical mathematics.

You will start with the fundamentals of working with numbers and gradually use Python to solve mathematical problems, create graphs, analyze data, work with algebra, explore probability, draw geometric shapes, and solve basic calculus problems.

Throughout the course, you will learn how Python can make mathematics easier to calculate, visualize, and explore. You will also work with useful Python libraries such as NumPy, Matplotlib, and SymPy.

This course is designed for beginners, so you do not need previous Python programming experience. Basic knowledge of mathematics is helpful, but you will learn the programming concepts step by step.

By the end of the course, you will be able to use Python for numerical calculations, mathematical visualization, statistics, algebra, probability, geometry, and calculus.

Whether you are a student, mathematics learner, science or engineering student, or simply interested in learning Python through mathematics, this course will give you a practical foundation for using Python in mathematical and technical applications.

You will also gain confidence by practicing short examples and applying mathematical ideas with code you can run, test, modify, and reuse in your own projects and exercises later.

Who this course is for:

  • Complete beginners who want to learn Python through mathematics
  • Students who want to use Python to solve mathematical problems
  • Students interested in mathematics, science, engineering, or data analysis
  • Anyone who wants to build Python skills using practical mathematical examples