The notebooks support a variety of languages, including R, Ruby and more, but it was initially built for Python, so that is the most well supported language by the software. Jupyter is built for data cleaning, visualization, and presentation. Jupyter Notebook is a web based application allowing users to create documents with markup text and code that can be run in document, piece by piece.
If you want to see more software demos and tutorials, hit the subscribe button below to make sure you never miss a video. I’ve included timestamps in the description if you want to jump to a specific part of the video. In this video, I’ll be going through the basics of setting up and using Jupyter Notebooks. I use Jupyter Notebooks all the time for cleaning data, and presenting data visualizations along with easy to read documentation.
#Jupyter notebook tutorial for beginners how to
In this tutorial, I’ll go over how to install Jupyter Notebook, what it’s best used for, and how to run code with it. For new users that haven’t used notebooks before, though, it can be a little tricky to get started with. Jupyter Notebook is a popular tool for writing Python code for data science.