This course will help MATLAB developers understand the fundamentals of Python and use it for scientific computing.

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Python is a versatile programming language with many open-source packages for different applications. Even scientists using MATLAB for complex tasks are shifting toward Python. This course focuses on MATLAB users learning Python.

First, you’ll be introduced to MATLAB and Python’s key differences and similarities. You’ll learn the fundamentals of Python syntax and data types and structures, particularly lists, dictionaries, sets, and tuples. You’ll learn the control flow of programs, functions, and file handling. You’ll learn about NumPy, pandas, Matplotlib, and Seaborn packages. You’ll learn different Python operators and how to store, manipulate, and visualize data. You’ll also get hands-on experience with three practice challenges at the end of the course. The course also discusses the Zen of Python.

After completing this course, you can program in Python and embark on any advanced Python, data science, or machine learning course.

Introduction to Python for MATLAB Users

Explore the Jupyter Notebook and its elements.

Jupyter Notebook Tutorial

Introduction to the Course

Universe of the Two Worlds

Basic Data Types and Operations

Control Flow

Functions

File Handling

Data Visualization

Practice Challenges

Conclusion

Appendix

Jupyter Notebook Tutorial

The notebook dashboard