The Classic Notebook and Jupyterlab can run side to side on the same computer. JupyterLab uses the exact same Notebook server and file format as the classic Jupyter Notebook, so that it is fully compatible with the existing notebooks and kernels. ![]() In a word, JupyterLab is a web-based, hackable IDE for data science and interactive computing. The architecture is completely extensible and open to developers. In addition to providing an improved interface to existing notebooks, JupyterLab also brings within the same interface a file browser, consoles, terminals, text editors, Markdown editors, CSV editors, JSON editors, interactive maps, widgets, and so on. JupyterLab offers a general framework for interactive computing and data science in the browser, using Python, Julia, R, or one of many other languages. It aims at fixing many usability issues of the Notebook, and it greatly expands its scope. JupyterLab is the next generation of the Jupyter Notebook. ![]() ▶ Go to Chapter 3 : Mastering the Jupyter Notebook ![]() ▶ Text on GitHub with a CC-BY-NC-ND license ![]() The ebook and printed book are available for purchase at Packt Publishing. This is one of the 100+ free recipes of the IPython Cookbook, Second Edition, by Cyrille Rossant, a guide to numerical computing and data science in the Jupyter Notebook.
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