March 2018 Kubernetes Security Vulnerabilities and Anaconda Enterprise
The Anaconda team tracks security vulnerabilities and CVEs via the National Vulnerability Database (NVD) on an ongoing basis. Our team is committed to th…
Anaconda Repository Changes Afoot
In August 2017, Continuum Analytics announced it is now Anaconda, Inc. Here at Anaconda, we are all excited about the change, and have spent the last several months switching everything over to the Anaconda name. One of the last big changes we need to make is to switch our default conda repository from https://repo.continuum.io to […]
The Case for Numba in Community Code
The numeric Python community should consider adopting Numba more widely within community code. Numba is strong in performance and usability, but historically weak in ease of installation and community trust. This blog post discusses these strengths and weaknesses from the perspective of an OSS library maintainer. It uses other more technical blog posts written on […]
Introducing Anaconda Enterprise 5
From its inception, Anaconda has had the mission to build better products for data scientists and the organizations they serve. We were the first company to launch a collaborative notebook product back in 2012. In this 5-year journey, we’ve learned a lot from our customers and we’ve worked to empower their organizations to effectively leverage […]
Anaconda to Present at Strata Data Conference, New York
Presentation topics include scaling Python workloads; solving problems faced by enterprise data science teams; exploring the architecture and current app…
Parallel Python with Numba and ParallelAccelerator
With CPU core counts on the rise, Python developers and data scientists often struggle to take advantage of all of the computing power available to them….
Reinforcing Open Data Science Foundations with conda 4.3 Release
At Continuum Analytics, we talk a lot about Open Data Science—this new world order of analytics that is rapidly accelerating the pace of innovation…
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 […]