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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Interactive learning environment for OpenWhisk command line

OpenWhisk is a new distributed compute service to execute application logic in response to events. It has a built-in CLI which employs its own syntax. Tutorial The OpenWhisk CLI tutorial is an interactive learning environment to get familiar with the OpenWhisk command line. While the OpenWhisk documentation is very extensive and concise, we thought that simulating the user interaction through a […]

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Subscribe to RSS Feeds via OpenWhisk

OpenWhisk is a “serverless” execution environment that follows an event driven model, where user code is automatically executed in response to an external event. An example of an external event can be a database update, pushing code to Github or even a simple HTTP request from a web or mobile application. Rather than manually listening for events and calling OpenWhisk when an […]

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Visualizing Big Data with Spark and Scala

While exploring data analytics with Apache Spark, the team came to the realization that there are many Python examples, but resources for Scala are somewhat lacking. In particular, there are few data visualization examples in Scala. Python’s predominant visualization module is Matplotlib, but we struggled to find a Scala library that offered the same breadth of functionality and granularity of control. Brunel In our […]

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