Native Python access to IPFS in Jupyter Notebooks

  In a previous post, we discussed using the new InterPlanetary File System (IPFS) protocol as a way to load data into Jupyter Notebooks. After experimenting with our previous example code for using IPFS, we decided that using IPFS would be more organic in a Notebook if you could use it from Python as a native library. The jStart team […]

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jStart Spark Data Analysis Projects for Clients

  During the IBM InterConnect 2016 conference, Scott Laningham asked me about the mission of the IBM jStart team and about our team’s Spark data analytics projects with various clients such as SolutionInc and USA Cycling Women’s Team Pursuit. Why Spark?  Spark provides data analysts, data scientists, and even line of business users the ability to find new patterns in data, […]

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Powered By Jupyter: A Survey of the Project Ecosystem

Project Jupyter has a large and growing developer community, one that both includes and extends beyond the Jupyter org on GitHub. In this post, we’ll take a walk through the wonderful things people are building based on Jupyter technology today. The Jupyter Notebook is the most well-known application in the Jupyter ecosystem. It is a web-based environment for combining text, […]

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