how to use jupyter notebook for python online

Title: Getting Started with Jupyter Notebook for Python Online
Jupyter Notebook is a powerful tool that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It's widely used in data science, machine learning, and scientific research. In this tutorial, we'll explore how to use Jupyter Notebook for Python online, leveraging platforms like Google Colab or Microsoft Azure Notebooks.
Before you begin, make sure you have the following:
Google Colab provides a free, cloud-based environment for running Jupyter Notebooks. Follow these steps to get started:
Open your web browser and go to Google Colab.
Click on "File" in the top left corner, then choose "New Notebook."
You can add code cells by clicking on the '+' button or use the keyboard shortcut Ctrl+M (or Cmd+M on Mac) followed by B for creating a new cell below.
To execute a cell, click the play button on the left of the cell or use the keyboard shortcut Ctrl+Enter (or Cmd+Enter on Mac).
You can also add text cells using the '+' button and formatting them using Markdown.
Save your work by clicking on "File" and then "Save" or by using the keyboard shortcut Ctrl+S (or Cmd+S on Mac).
Now, let's add a simple Python code example:
After adding the code, run the cell to see the output.
Azure Notebooks is another cloud-based platform that supports Jupyter Notebooks. Follow these steps to use it:
Open your web browser and go to Azure Notebooks.
Sign in with your Microsoft account.
Click on "New" and choose "Python 3.6" as the language.
Similar to Google Colab, you can add code and text cells. Execute code cells by clicking the "Run" button.
Save your notebook by clicking on the floppy disk icon or using the keyboard shortcut Ctrl+S (or Cmd+S on Mac).
Now, let's add the same Python code example: