Carol Willing, Min Ragan-Kelley, and Erik Sundell demonstrate how to provide easy access to Jupyter notebooks and JupyterLab without requiring users to install anything on their computers. After diving into JupyterHub to discover what it is, how it works, and the benefits it provides, you’ll learn how to configure and deploy a cloud-based JupyterHub using Kubernetes and how to customize and extend it for your needs, with regard to authentication (Google, GitHub, LDAP, etc.), user environment (Python, R/RStudio, Julia, JupyterLab, etc.), and cluster autoscaling.
Carol Willing is a research software engineer at Cal Poly San Luis Obispo working full-time on Project Jupyter, a Python Software Foundation fellow and former director, a Jupyter Steering Council member, a geek in residence at FabLab San Diego, where she teaches wearable electronics and software development, and an independent developer of open hardware and software. She co-organizes PyLadies San Diego and San Diego Python, contributes to open source community projects, including OpenHatch, CPython, Jupyter, and AnitaB.org’s open source projects, and is an active member of the MIT Enterprise Forum in San Diego. She enjoys sharing her passion for electronics, software, problem solving, and the arts. Previously, Carol worked in software engineering management, product and project management, sales, and the nonprofit sector. She holds an MS in management with an emphasis on applied economics and high-tech marketing from MIT and a BSE in electrical engineering from Duke University.
Min Ragan-Kelley is a postdoctoral fellow at Simula Research Lab in Oslo, Norway, where he focuses on developing JupyterHub, Binder, and related technologies and supporting deployments of Jupyter in science and education around the world. Min has been contributing to IPython and Jupyter since 2006 (full-time since 2013).
Erik Sundell is a math and physics teacher in Uppsala, Sweden. While working toward a machine learning degree online, he realized the potential of Jupyter for educators and established a JupyterHub deployment using the “Zero to JupyterHub on Kubernetes” guide for his students. Soon after, he began contributing to the open source project.
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