JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool that empowers you to share your code in an easily understandable format.
Hundreds of thousands of people around the world use Jupyter Notebooks or variations of the Notebook architecture for any or all of the following:
- teaching
- presentations
- learning a computer language
- numerical simulations
- statistical modeling
- data visualization
- machine learning
- and much more!
Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration.
JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks, open terminals in your browser, create a Python REPL, and more. JupyterLab also includes a debugger utility to help you figure out your coding issues.
Rest assured, JupyterLab supports all the same programming languages as Jupyter Notebook. The main difference lies in the user interface, and this guide is here to help you navigate it effectively and efficiently.
After reading JupyterLab 101, you will be an expert in JupyterLab and produce quality Notebooks quickly!