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Learn Python with Jupyter Notebook Lab using ChatGPT
Role Play
Rating: 5.0 out of 5(1 rating)
1 students

Learn Python with Jupyter Notebook Lab using ChatGPT

Jupyter Python Bootcamp: Python Notebook, Anaconda Jupyter Notebook Online & ChatGPT Assistance!
Created byBeing Commerce
Last updated 6/2025
English

What you'll learn

  • How Jupyter Python works step by step
  • Setup of Python notebook using Anaconda
  • Jupyter Notebook vs Jupyter Lab
  • Writing and running Python code in notebooks
  • Python variables and data types
  • Working with strings and string formatting
  • Python operators and precedence
  • Taking input from users
  • Conditionals and decision making
  • Functions and reusable code
  • Match case in Python
  • Loops and iterations
  • Lists, tuples, sets, and dictionaries
  • File handling in Python
  • Working with JSON data
  • List comprehensions and lambda functions
  • Using ChatGPT to learn Python faster
  • Fixing Python errors with ChatGPT
  • Using ChatGPT for practice and assignments

Course content

1 section12 lectures5h 12m total length
  • Learn Python with Jupyter Notebook Lab using ChatGPT (Promo)1:30
  • Python to Jupyter Notebook Introduction30:56
  • Introduction to Jupyter Notebook/ Lab11:36
  • Basics of Variables & Strings40:33
  • Operators & Precedence & User Input34:29
  • Operators, Conditionals & Functions26:27
  • Match Case, Loops & F-String in Python36:47
  • List, Tuple, Sets and Dictionary59:49
  • File Handling & Json Module21:51
  • List Comprehensions & Lambda Functions13:05
  • ChatGPT For Data Science & Python33:52
  • Role Play for this Course
  • Bonus1:05

Requirements

  • No prior Python knowledge needed
  • A computer with internet access
  • Willingness to practice along in Jupyter Notebook
  • Basic computer usage skills

Description

Python is one of the most in-demand skills today, but many learners struggle when they move from theory to real practice. This course is designed to fix that gap using Jupyter Python, the most practical way to learn, test, and run Python code step by step.

In this course, you will learn Python using Jupyter Notebook, the same tool used by data analysts, developers, and learners across the world. Instead of writing long scripts blindly, you will see output instantly, understand errors clearly, and practice concepts in small pieces. This approach makes learning Python easier, faster, and less confusing.

We start from the very beginning. You will learn how Python works inside a notebook, how Jupyter Notebook and Jupyter Lab are used, and how to set everything up using Anaconda Jupyter Notebook. Every step is shown clearly so you never feel lost, even if this is your first time working with Python.

As you move forward, you will learn core Python concepts directly inside the Python notebook. This includes variables, strings, operators, user input, conditionals, loops, functions, and modern Python features like match case, f-strings, list comprehensions, and lambda functions. Each topic is taught with hands-on notebook examples so you can run and change code yourself.

You will also learn how Python handles lists, tuples, sets, and dictionaries in real usage. These are key concepts for data handling and interviews, and learning them inside Jupyter makes understanding much easier. You will see how data changes step by step instead of guessing what happened.

File handling and the JSON module are also covered so you understand how Python works with files and structured data. This is useful for real projects and basic automation tasks.

A unique part of this course is learning Python with ChatGPT inside Jupyter Notebook. You will see how ChatGPT can help you understand code, fix errors, explain logic, and assist with assignments. Instead of getting stuck, you will learn how to ask better questions and move forward faster.

By the end of this course, you will not just know Python syntax. You will know how to think in Python, how to work inside a notebook, and how to use ChatGPT as a learning partner. This skill combination is highly useful for students, job seekers, and anyone working with data or automation.

If you skip this course, you may keep jumping between random tutorials, copying code without clarity, and feeling unsure about your Python basics. This course gives you a clean path from zero to confidence using tools that professionals already use.

After completing this course, you will be comfortable using jupyter notebook python, writing clean code, testing ideas quickly, and learning faster with AI support. You will have a strong base that you can use for data science, automation, or further Python learning.

Who this course is for:

  • Absolute beginners with zero coding knowledge
  • Students and professionals starting their data science journey
  • Entrepreneurs who want to automate tasks with Python
  • Non-tech individuals who want to explore programming with AI help
  • Anyone curious about using ChatGPT to learn Python faster