Project Jupyter
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$6M for UC Berkeley and Cal Poly to Expand and Enhance Open-Source Software for Scientific Computing and Data Science
Three foundations pledged $6M over the next three years to Project Jupyter, an open-source software project that supports scientific computing and data science across a wide range of programming languages via a large, public, open and inclusive community. Fernando Perez of University of California, Berkeley and Lawrence Berkeley National Laboratory and Brian Granger of California Polytechnic University, San Luis Obispo will lead the project at their institutions. Perez and Granger’s efforts with Project Jupyter are the result of their work developing IPython, a popular user interface for interactive computing across multiple programming languages.
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Why Data Scientists Love Kubernetes
Let's start with an uncontroversial point: Software developers and system operators love Kubernetes as a way to deploy and manage applications in Linux containers. Linux containers provide the foundation for reproducible builds and deployments, but Kubernetes and its ecosystem provide essential features that make containers great for running real applications...What you may not know is that Kubernetes also provides an unbeatable combination of features for working data scientists. The same features that streamline the software development workflow also support a data science workflow! To see why, let's first see what a data scientist's job looks like...
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