Jupyter Notebook Best Practices for Data Science
September 10th, 2015 The Jupyter Notebook is a fantastic tool that can be used in many different ways. Because of its flexibility, working with the Notebook on data science problems in a team setting can be challenging. We present here some best-practices that SVDS has implemented after working with the Notebook in teams and with our clients. The need to keep work under version control, and to mai
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Registration: Machine learning & data conference | O'Reilly Strata
OSCON 2015 : Beyond messaging - Enterprise Dataflow with Apache NiFi
Near-realtime analytics with Kafka and HBase
7 Habits of Highly Effective Jenkins Users
