Kernels also respond to tab completion and introspection requests. Toggle navigation. October 5— Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.
JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular: write plugins that add new components and integrate with existing ones.
Try it in your browser Install JupyterLab. The Jupyter Notebook The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Try it in your browser Install the Notebook. Language of choice Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. Pluggable authentication Manage users and authentication with PAM, OAuth or integrate with your own directory service system. Centralized deployment Deploy the Jupyter Notebook to thousands of users in your organization on centralized infrastructure on- or off-site.
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|Autor del sorteo :||kowalkow|
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