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Introduction to Python for MATLAB Users

Name: Introduction to Python for MATLAB Users
Price: 59 USD
Author: Educative

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

Created by Educative

What's included

41 lessons across 10 modules
3 quizzes with instant feedback
AI Tutor on every lesson

Join 3.1 million developers at

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

Learning Roadmap

41 Lessons3 Quizzes

Introduction to the Course

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

About This Course

The Pythonic Way of Programming

From MATLAB to Python: An Engineer’s Metamorphosis

Universe of the Two Worlds

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

Basic Data Types and Operations

6 Lessons

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

Control Flow

5 Lessons

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

Functions

3 Lessons

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

File Handling

3 Lessons

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

Data Visualization

10 Lessons

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

Practice Challenges

4 Lessons

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

Conclusion

2 Lessons

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

10.

Appendix

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

Jupyter Notebook Tutorial

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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.

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