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Phyton Jupyter Notebook For Python Programming with ChatGPT 2025

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Learn Python step-by-step for Beginners using Jupyter Notebook (Lab) and ChatGPT as your AI tutor for Data Science, etc.

Description

Jupyter Notebook For Python Programming with ChatGPT Course. This course is a comprehensive, beginner-friendly guide to learning Python programming using Jupyter Notebook and ChatGPT as a teaching assistant. If you’ve always wanted to learn Python but have been put off by complex tools or confusing tutorials, this course is the answer. In an age where artificial intelligence is key, using tools like ChatGPT can make learning faster and more effective. This course shows you how to use Jupyter Notebook, one of the most popular visual coding environments, and combine it with ChatGPT to become an always-on trainer. Topics start at the basics, including installing and setting up Jupyter Notebook, working with the user interface, and learning basic Python concepts like variables, loops, functions, and data structures. More advanced topics like list comprehensions, lambda functions, and working with files are also covered. The special part of this course is to teach you how to use ChatGPT to learn, debug, and even write code, which will help you program with more confidence. By completing this course, you will not only gain a solid foundation in Python, but also get acquainted with Jupyter Notebook and learn how to use ChatGPT to solve real problems. These skills will prepare you to enter fields such as data science, web development, or automation, and will strengthen your position in the future job market.

What you will learn

How to set up Jupyter Notebook and Lab from scratch.
Difference between Jupyter Notebook and JupyterLab.
Installing and setting up Jupyter using the GUI and command line.
Writing your first Python code in Jupyter Notebook.
Understanding Python variables and strings.
Using operators and receiving input from the user.
Applying conditionals and making decisions based on logic.
Creating and using functions.
Using loops and match-case logic in Python.
Explore data types such as lists, tuples, sets, and dictionaries.
Working with files and the JSON module.
Writing list comprehensions and lambda functions.
Using ChatGPT to learn Python faster.
Debugging Python errors with ChatGPT.
Solve assignments in collaboration with ChatGPT.

This course is suitable for people who:

Absolute beginners who want to learn Python programming.
Digital marketers and business owners who want to automate their tasks.
Freelancers looking to expand their Python and data science practice.
Tech-curious people who want to learn with the help of ChatGPT.
Anyone who wants to learn Python in the easiest way possible.

Course content
10 sections • 27 lectures • 5h 12m total length


https://www.udemy.com/course/jupyter-notebook-for-python-programming-with-chatgpt

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