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 t…
Behind the Code of Conda: Q&A with principal developer Cheng Lee
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 t…
Announcing the Anaconda 2019.07 Release
The midyear release of Anaconda Distribution is available for download. The Anaconda 2019.07 release focuses on Conda performance. We’ve heard you…
Announcing Public Anaconda Package Download Data
I’m very happy to announce that starting today, we will be publishing summarized download data for all conda packages served in the Anaconda Di…
Anaconda’s Damian Avila on the 2017 ACM Software System Award for Jupyter
I am very happy to inform you that Project Jupyter has been awarded the 2017 ACM Software System Award!As part of the Jupyter Steering Council, I am one …
Announcing the Release of Anaconda Distribution 5.0
We’re thrilled to announce the release of Anaconda Distribution 5.0! With over 4.5 million active users, Anaconda Distribution is the world’s…
Announcing General Availability of conda 4.3
We’re excited to announce that conda 4.3 has been released for general availability. The 4.3 release series has several new features and substantial impr…
Announcing Anaconda Project: Data Science Project Encapsulation and Deployment, the Easy Way!
One year ago, we presented Anaconda and Docker: Better Together for Reproducible Data Science. In that blog post, we described our vision and a foundational approach to portable and reproducible data science using Anaconda and Docker. This approach embraced the philosophy of Open Data Science in which data scientists can connect the powerful data science […]
