Galvanize Capstone Series: Geolocation of Twitter Users

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This post is part of our Galvanize Capstone featured projects. This post was written by Shawn Terryah and posted here with his permission. In June of this year, I completed the Data Science Immersive program at Galvanize in Austin, TX. The final few weeks of the program were dedicated to individual capstone projects of our choosing. I […]

Open Sourcing Anaconda Accelerate

We’re very excited to announce the open sourcing and splitting of the proprietary Anaconda Accelerate library into several new projects. This change has been a long time coming, and we are looking forward to moving this functionality out into the open for the community. A Brief History of Accelerate/NumbaPro Continuum Analytics has always been a […]

Package Better with Conda Build 3

Handling version compatibility is one of the hardest challenges in building software. Until now, conda-build provided helpful tools in terms of the ability to constrain or pin versions in recipes. The limiting thing about this capability was that it entailed editing a lot of recipes. Conda-build 3 introduces a new scheme for controlling version constraints, […]

Secure and Scalable Data Science Deployments with Anaconda

In our previous blog post about Productionizing and Deploying Data Science Projects, we discussed best practices and recommended tools that can be used in the production and deployment stages of collaborative Open Data Science workflows. In this blog post, we’ll introduce the next generation of Anaconda Enterprise v5, which enables you to deploy a wide […]

Anaconda and Microsoft Partner to Deliver Python-Powered Machine Learning

Microsoft to embed Anaconda into Azure Machine Learning, Visual Studio and SQL Server, accelerating data science exploration and production deployments Strata Data Conference, NEW YORK––September 26, 2017––Anaconda, Inc., the most popular Python data science platform provider, today announced it is partnering with Microsoft to embed Anaconda into Azure Machine Learning, Visual Studio and SQL Server […]

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 most popular and trusted distribution for data science. It allows you to easily install 1,000+ Python and R data science packages and manage your packages, dependencies, and environments—all with the single click of a […]

Learning Python For Data Science: Cheat Sheets

At DataCamp, we always look out for ways to help our students, who are all eager to become more data savvy, reach their objectives even faster. That’s why we recently created a series of Python cheat sheets that target people who are using it for data analysis. The ongoing series already covers some of the […]