Getting started with Jupyter Notebook | Python

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

Jupyter has support for over 40 different programming languages and Python is one of them. Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the Jupyter Notebook itself.

Install Jupyter using Anaconda:
Install Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. You can download Anaconda’s latest Python3 version from here.
Now, install the downloaded version of Anaconda.

Installing Jupyter Notebook using PIP:

python3 -m pip install --upgrade pip
python3 -m pip install jupyter

Command to run the Jupyter notebook:



jupyter notebook

This will print some information about the notebook server in your terminal, including the URL of the web application (by default, http://localhost:8888) and then open your default web browser to this URL.

When the notebook opens in your browser, you will see the Notebook Dashboard, which will show a list of the notebooks, files, and subdirectories in the directory where the notebook server was started. Most of the time, you will wish to start a notebook server in the highest level directory containing notebooks. Often this will be your home directory.
Notebook Dashboard

Create a new Notebook:
Now on the dashboard, you can see a new button at the top right corner. Click it to open a drop-down list and then if you’ll click on Python3, it will open a new notebook.

Few Useful Commands: