The Jupyter Notebook is a web-based interactive computational environment for creating Jupyter Notebook documents. It supports several languages like Python, R, and many more, and is largely used for interactive, exploratory data analysis and visualisation.
JupyterLab is its nex-generation user interface, which includes notebooks. It has a modular structure, where you can open several notebooks or files (e.g. HTML, Text, Markdowns etc) as tabs in the same window. It offers more of an IDE-like experience to the classic notebook environment.
We recommend installing the Anaconda distribution. Anaconda conveniently installs Python (a requirement for installing and using the Jupyter Notebook), the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
Follow these installation steps:
We recommend downloading Anaconda’s latest Python 3 version (currently Python 3.7). There is both a Graphical and Command Line installer.
Install the version of Anaconda which you downloaded, following these instructions.
Congratulations, you have automatically installed the Jupyter Notebook & are now ready to run the notebook server, in this case Jupyterlab.
This will print some information about the Jupyter server in your terminal, including the URL of the web application (by default,
Brilliant! You are now ready to start pulling in data and generating analyses.
Once you are finished with your analysis you can upload it to Kyso to share using the following methods: