The Statistics and Calculus with Python Workshop

Where Mathematics Meets Practical Python 🐍

This workshop-style ebook takes a distinctly applied approach to mathematics for artificial intelligence. Rather than treating statistics and calculus as separate theory-heavy subjects, it builds both alongside the Python tools modern data professionals use every day.

What You’ll Work Through

The opening chapters strengthen your Python fundamentals and introduce NumPy, pandas, Matplotlib, and Seaborn for numerical work, data tables, and visualization. From there, the book moves into statistical thinking, including descriptive and inferential statistics, before exploring algebraic functions, equation solving, sequences and series, trigonometry, complex numbers, matrices, and Markov chains.

Learn by Doing, Not Just Reading

Each chapter includes exercises and end-of-chapter activities that turn concepts into working code. You’ll build a number guessing game, solve Sudoku with Python, analyze communities and crime data, run break-even calculations, and even create a simple text predictor using a Markov chain. These hands-on projects make the mathematics tangible and immediately useful.

Who This Book Serves

If you’re comfortable with basic Python and want to build the mathematical foundation for data science, machine learning, or AI work, this workshop offers a structured, practical path. It’s also a useful refresher for developers who need to sharpen statistical and calculus skills in a Python context.

A Workshop You Can Return To 📚

The combination of clear explanations, code examples, and applied exercises makes this ebook a dependable companion for self-study, project-based learning, or ongoing reference. For anyone who wants to do serious Python-based analytics and AI, the mathematics here is the kind that sticks.