Machines Learning about Humans Learning about Machines Learning
I had the great honor and pleasure of presenting the first tutorial at AnacondaCon 2018, on machine learning with scikit-learn. I spoke to a full room of…
Deploying Machine Learning Models is Hard, But It Doesn’t Have to Be
With free, open source tools like Anaconda Distribution, it has never been easier for individual data scientists to analyze data and build machine learning models on their laptops. So why does deriving actual business value from machine learning remain elusive for many organizations? Because while it’s easy for data scientists to build powerful models on […]
Anaconda Distribution 5.2 Released
We’re excited to announce the release of Anaconda Distribution 5.2! With over 6 million users, Anaconda Distribution is the world’s most popular and easiest way to do Python data science and machine learning. Download and install Anaconda Distribution 5.2 now, or update your current Anaconda Distribution installation to version 5.2 by using conda update conda […]
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…
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…
Pi Day 2017: Why Celebrating Science & Mathematics is More Critical Than Ever
While Pi Day is typically about cheap pizza and other retail stunts, this year the day is being used by the tech community to influence industry leaders to stand up against new policies that affect the future. In an era of “alternative facts” and “fake news,” it’s more important than ever that data-driven projects are a priority for […]