Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science. No question about it, Python is a crucial part of modern data science.

We recommend installing Python using Anaconda, which additionally provides easy access to a wealth of python libraries and tools. Python can be downloaded or all operating systems. We recommend that ...

Anaconda 5.2 adds job scheduling, support for GPUs, and integration with version control systems including Git and GitHub Anaconda, the Python language distribution and work environment for scientific ...

Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at ...

Microsoft is continuing its push to make its developer tools relevant to data scientists. Starting today, February 15, Microsoft's light-weight Visual Studio (VS) Code editor is shipping as part of ...

So an acquaintance started working as an intern in a small team of a national agency that does cool science-y stuff. Apparently they are trying to introduce Python for scientific computing, they are ...

Anaconda and Teradata have unveiled a new integration to bring the most popular and widely used Python and R packages to Teradata VantageCloud through the Anaconda Repository. The integration with ...