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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.

41 Lessons
8h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • 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

Learning Roadmap

41 Lessons3 Quizzes

1.

Introduction to the Course

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

Universe of the Two Worlds

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

3.

Basic Data Types and Operations

Basic Data Types and Operations

6 Lessons

6 Lessons

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

4.

Control Flow

Control Flow

5 Lessons

5 Lessons

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

5.

Functions

Functions

3 Lessons

3 Lessons

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

6.

File Handling

File Handling

3 Lessons

3 Lessons

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

7.

Data Visualization

Data Visualization

10 Lessons

10 Lessons

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

8.

Practice Challenges

Practice Challenges

4 Lessons

4 Lessons

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

9.

Conclusion

Conclusion

2 Lessons

2 Lessons

Discover the logic behind Python's principles and transitioning from MATLAB to Python.
Certificate of Completion
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Author NameIntroduction to Python forMATLAB Users
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
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.

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