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Get access to the sponsor pavilion, networking events, keynotes, and more. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. 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. Language of choice The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.
Big data integration Leverage big data tools, such as Apache Spark, from Python, R 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. Container friendly Use Docker and Kubernetes to scale your deployment, isolate user processes, and simplify software installation.
Code meets data Deploy the Notebook next to your data to provide unified software management and data access within your organization. Open Standards for Interactive Computing The Jupyter Notebook is based on a set of open standards for interactive computing. Think HTML and CSS for interactive computing on the web. The Notebook Document Format Jupyter Notebooks are an open document format based on JSON. They contain a complete record of the user’s sessions and include code, narrative text, equations and rich output.
Kernels Kernels are processes that run interactive code in a particular programming language and return output to the user. Kernels also respond to tab completion and introspection requests. The Jupyter Trademark is registered with the U. I’ve had a fantastic week this week hanging with my team in Redmond, and we’ll be back with more from the blog next week. Peter Dalgaard, Hadley Wickham, Julia Silge, Gabriela de Queiroz. The article is a great overview of the R phenomenon, its applications, and community, and you can read the entire article at the link below. Significance: R generation: The story of a statistical programming language that became a subcultural phenomenon.