Jupyter Lab: cloud application

JupyterLab JupyterLab is the evolution of the Jupyter Notebooks application. This interactive open source application offers a browser-accessible development environment for developing code on notebooks. Notebooks are books with cells, which are the basic unit of work in Jupyter. Each cell runs independently and can contain code in HTML, Markdown and other programming languages. This allows programming code to be contained with text and explanations, making it ideal for prototyping or knowledge sharing.

From the JupyterLab environment you can organise your code in notebooks and folders and access the server by terminal to make configurations or install new libraries.

Supports multiple programming languages: Python, R, Julia and Scala... The most widespread in Data Science and Machine Learning projects is Python, due to the number of libraries that exist, especially for data analysis and creating machine learning models.

You can also create and share notebooks with others using email, Dropbox or GitHub. Another advantage of the JupyterLab application is that you can run your code line by line with many advanced display options: HTML, images, videos, LaTeX, and custom MIME types.