Behind the Code of Numba: Q&A with Team Lead Siu Kwan Lam

Data science and related fields have been born in and pushed forward by open-source projects. Open-source communities allow for people to work together to solve larger problems. As stewards of the data science community, we believe it is important to go behind the lines of code to shine a light on those doing the work […]

IBM Cloud Pak for Data and Anaconda Repository with IBM

Guest blog written by Thomas Schaeck, Distinguished Engineer | IBM Data & AI Is it possible to use best of breed open source, and be secure at the same time? In this blog post we give a brief overview of IBM Cloud Pak for Data and explain how it integrates with Anaconda Repository with IBM […]

Anaconda Individual Edition 2020.07

Please note that since the publication of this post, we’ve repositioned our product offerings into Anaconda plans. Individual Edition is now reflected by our Free plan, Commercial Edition is now reflected by our Pro plan, Team Edition is now reflected by our Business plan, and Enterprise Edition is now reflected by our Enterprise plan. Click […]

2020 Anaconda State of Data Science Report: Moving from hype toward maturity

Every year, we conduct a survey to assess the pulse of the data science community and to better understand the responsibilities, expectations, and challenges of one of the world’s most sought-after professions. From February 12 to April 20 of this year, we asked individuals using data science and machine learning tools, as well as those […]

Sustaining our stewardship of the open-source data science community

Please note that since the publication of this post, we’ve repositioned our product offerings into Anaconda plans. Click here to learn more about our plans.  This week we instituted a change to the Terms of Service for the Anaconda package repository at repo.anaconda.com, as a response to the dramatic increase in usage and adoption of […]