Introduction to Python for MATLAB Users

Gain insights into Python for MATLAB users, covering syntax, data structures, file handling, and data visualization. Learn about NumPy, pandas, Matplotlib, Seaborn, and practice through hands-on challenges.

Beginner

41 Lessons

8h

Gain insights into Python for MATLAB users, covering syntax, data structures, file handling, and data visualization. Learn about NumPy, pandas, Matplotlib, Seaborn, and practice through hands-on challenges.

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This course includes

184 Playgrounds

This course includes

184 Playgrounds

Course Overview

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 han...Show More

What You'll Learn

An understanding of how Python can be used for scientific computing and its many other applications

The ability to differentiate between MATLAB and Python environments

Working knowledge of Python programming fundamentals

Ability to make data visualization plots

Hands-on experience using popular Python libraries such as NumPy, pandas, Matplotlib, and Seaborn

Familiarity with the Pythonic style of programming

What You'll Learn

An understanding of how Python can be used for scientific computing and its many other applications

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Course Content

1.

Introduction to the Course

Get familiar with transitioning from MATLAB to Python, key programming principles, and essential Python features.
2.

Universe of the Two Worlds

Discover the logic behind MATLAB and Python environments, tools, and their specialized libraries.
3.

Basic Data Types and Operations

Examine key data types, arrays, indexing, data structures, and operators in Python and MATLAB.
4.

Control Flow

Grasp the fundamentals of Python control flow using conditional statements, loops, break, continue, and switch-case structures.
5.

Functions

Solve problems in creating and using functions, including lambda functions, in Python and MATLAB.
6.

File Handling

3 Lessons

Follow the process of reading and writing files, managing CSV/Excel, and handling multimedia.
7.

Data Visualization

10 Lessons

Master the steps to visualize data using 2D and 3D plots, Matplotlib, and Seaborn.
8.

Practice Challenges

4 Lessons

Try out data manipulation, visualization, and signal processing using pandas and Python libraries.
9.

Conclusion

2 Lessons

Discover the logic behind Python's principles and transitioning from MATLAB to Python.
10.

Appendix

1 Lesson

Work your way through using Jupyter Notebooks for code execution and documentation.

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