Productionizing and Deploying Data Science Projects
An end-to-end data science workflow includes stages for data preparation, exploratory analysis, predictive modeling, and sharing/dissemination of the results. At the final stages of the workflow, or even during intermediate stages, data scientists within an organization need to be able to deploy and share the results of their work for other users (both internal analysts […]
Self-Service Open Data Science: Custom Anaconda Management Packs for Hortonworks HDP and Apache Ambari
As part of our partnership with Hortonworks, we’re excited to announce a new self-service feature of the Anaconda platform that can be used to generate custom Anaconda management packs for the Hortonworks Data Platform (HDP) and Apache Ambari. This functionality is now available in the Anaconda platform as part of the Anaconda Scale and Anaconda […]
Anaconda 4.3 Released
We are happy to announce that Anaconda 4.3 has been released. Anaconda is the leading open data science platform powered by Python. Python 3.6.0 was released on December 23, 2016, and on the same day, we made conda binaries available for all major platforms. However, that did not mean that all Python packages had been […]
What is Conda Canary?
With the release of conda 4.2.0, we started a new pre-release program called conda canary. The name, inspired by Chrome Canary, is a “canary in a coal mine” reference. Every new conda release is posted to the canary channel before it goes live for general availability. Patch releases–for example 4.2.14 to 4.2.15–may only spend 24 […]