Jupyter Notebooks have become the go-to IDE for a lot of data science aspirants and yet, a lot of professionals (including data scientists) still struggle to use it for their day-to-day work.

This tutorial on getting started with Jupyter Notebook aims to help you see the big picture of what you can do with Jupyter Notebooks and hopefully, empower you to maximize your efficiency as a Data Scientist.

What is a Jupyter Notebook?

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. – Project Jupyter

Jupyter Logo

Jupyter Notebook is an interactive IDE that supports over 40 different programming languages including Python, R, Julia, and Scala. It also allows the use of mark-downs to help data scientists quickly jot down ideas and document results.

One of the best things about Jupyter Notebooks is its minimalistic design and user interface – even a non-programming professional can understand the contents of the notebook based on the content of the markdown. Also, since the Notebook can be hosted on different platforms, it has become a medium to show the capability of what a job-seeking data scientist can do.

Installing Jupyter Notebook for Python

Installing the Jupyter Notebook is pretty easy in Python with the pip package installer. Just open your terminal and write the following command:

pip install notebook

Alternatively, if you’re using the conda package manager, you can install jupyter notebook with the following command:

conda install -c conda-forge notebook

Once the installation finishes, you can start your Jupyter Notebook by just writing jupyter notebook in the terminal as follows.

jupyter notebook

Now you can access the Jupyter Notebook from your browser by going to http://localhost:8888/. The port number may be different on your system so make sure to look at your terminal to find the right URL.

Jupyter Notebook Tutorial - A Guide for Data Scientists

Tip to remember: Make sure to change your directory to the desired location before starting the Jupyter notebook so that you can properly manage your notebooks.

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Jupyter Notebook Tutorial - A Guide For Data Scientists
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