Getting started with Jupyter Notebook for Data Science

  • 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.
  • We can perform data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
  • Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
  • .ipynb is file the extension of the Jupyter Notebook document.
  • Official website of Jupyter is

There are two ways to install Jupyter Notebook.
1) Installing Jupyter Notebook using Anaconda Distribution
2) Installing Jupyter Notebook with pip

Installing Jupyter Notebook using Anaconda Distribution
Anaconda® is a package manager, an environment manager, a Python/R data science distribution, and a collection of over 1,500+ open source packages. Anaconda is free and easy to install, and it offers free community support.

Step 1: Download Anaconda Distribution from
Python 3.7 version is recommended.

Step 2: Install the version of Anaconda which you downloaded, following the instructions on the download page. Few screenshots shown below.

Once you have installed Jupyter Notebook, go to anaconda prompt and type
jupyter notebook

Installing Jupyter Notebook with pip
Jupyter installation requires Python 3.3 or greater, or Python 2.7.
pip is a standard package-management system used to install and manage software packages written in Python.

If you have Python 3 installed (recommended)
pip3 install --upgrade pip
pip3 install jupyter

If you have Python 2 installed:
pip install --upgrade pip
pip install jupyter

Once you have installed Jupyter Notebook, run the following command at the Command Prompt (Windows).
jupyter notebook



Learn more about Jupyter Notebook features in our coming Jupyter Blog Article series.

Happy Learning!