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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.

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Overview

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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.

Python is a versatile programming language with many open-source packages for different applications. Even scientists using MATL...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

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

Content

41 Lessons3 Quizzes

Introduction to the Course

3 Lessons

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

4 Lessons

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.

Basic Data Types

Arrays and Matrices

Array and Matrix Indexing

Dictionary, Tuple, Set, and Cell

Arithmetic and Logical Operators

Quiz: Basic Data Types and Operations

Control Flow

5 Lessons

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

Conditional Statements

Functions

3 Lessons

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

Functions

Lambda Functions

Quiz: Functions

File Handling

3 Lessons

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

Read and Write Text Files

CSV and Excel Files

Audio and Image File

Data Visualization

10 Lessons

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

Data Visualization with Seaborn

Data Visualization with pandas

Exercise: Subplots

Solution: Subplots

Exercise: Olympic Logo

Solution: Olympic Logo

Practice Challenges

4 Lessons

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

An Introduction to pandas

Challenge 1: Sales Data Analysis

Challenge 2: Investigate the Titanic Dataset

Challenge 3: Plot Signals

Conclusion

2 Lessons

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

The Zen of Python

Wrap Up

10.

Appendix

1 Lessons

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.

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Personalized Interview Prep

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Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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