You are currently viewing Jupyter Notebook Tutorial (2023)

Jupyter Notebook Tutorial (2023)

Learn Jupyter Notebook and run Python programs on the web browser

What you’ll learn

  • Learn to work with Jupyter Notebook to run Python projects
  • Learn to work with Python Libraries on Jupyter
  • Customize the Jupyter appearance
  • Be able to program in Python professionally using Jupyter Notebook
  • Gain an in-depth understanding of Jupyter Notebook

Course content

37 total mins


  • A computer
  • Internet Connection
  • Basic knowledge of Computer usage
  • No paid software required


In this Video Course, learn Jupyter Notebook and its concepts. Jupyter is an open-source web application to run Python programs with ease. It supports over 40 programming languages, including Python, R, Scala, etc. In this course, we have covered the following lessons with live running examples. Let’s start with the first lesson.

This Jupyter Notebook Tutorial is for students, engineers, and professionals. Beginning with the introduction, you will learn how to set the environment for Jupyter and start working with it to create new projects and run Python programs. We have also shown how to  setup and run Python libraries on Jupyter.  Step-by-step lessons are provided covering topics, which will help you in preparing basic to advanced-level Python programming on Jupyter Notebook.


Jupyter Introduction

Install Anaconda on Windows for Jupyter Notebook

Launch Jupyter Notebook for the first time

Create a new NoteBook on Jupyter

Working with Cells in Jupyter

Types of Cells in Jupyter

Add Headings in Jupyter

Show line numbers in Jupyter

Setup Numpy on Jupyter

Setup Pandas on Jupyter

Setup Matplotlib Jupyter

Download Notebook in various formats on Jupyter NoteBook

Import Notebook into Jupyter Notebook

Open already created NoteBook

Keyboard Shortcuts in Jupyter

***Python Version***

We have covered Python 3 and all the examples are implemented on Jupyter Notebook.

Let’s start the journey!

Hit the Enroll button!

Who this course is for:

  • Those who want to code in Python
  • Those who want to enhance their Python Programming Skills.
  • Those who want an easier interface to run Python

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