CyberPandas: Extending Pandas with Richer Types
Over the past couple months, Anaconda has supported a major internal refactoring of pandas. The outcome is a new extension array interface that will enab…
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 …
Anaconda Debuts Data Science Certification Program
Certification to Standardize Data Science Skill Set among Employers and Professionals AnacondaCON, Austin, TX—April 9, 2018 — Anaconda, the most popular Python data science platform provider, today introduced the Anaconda Data Science Certification, giving data scientists a way to verify their proficiency and organizations an independent standard for qualifying current and prospective data science experts. […]
Anaconda included in Gartner’s 2018 Magic Quadrant for Data Science and Machine Learning Platforms
Gartner recently released its 2018 Magic Quadrant for Data Science and Machine Learning Platforms, featuring Anaconda for the first time. For those unfam…
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 […]
VS Code in Anaconda Distribution 5.1
A few months ago, Anaconda, Inc., creator of the world’s most popular Python data science platform, announced a partnership with Microsoft that included providing Anaconda Distribution users easy access to Visual Studio Code (VS Code). We are pleased to announce that, with the February 15th release of Anaconda Distribution 5.1, this goal is now a […]
Credit Modeling with Dask
I’ve been working with a large retail bank on their credit modeling system. We’re doing interesting work with Dask to manage complex computations (…
Easy Distributed Training with Joblib and Dask
This past week, I had a chance to visit some of the scikit-learn developers at Inria in Paris. It was a fun and productive week, and I’m thankful to them…
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 […]