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.

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 ...

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 ...

There are several popular integrated development environments (IDEs) for Python, including PyCharm, Pyscripter, Emacs, Eric, and Spyder among others. A comprehensive list of Python IDEs can be found ...

Developers already have numerous options from the likes of Microsoft and Google for learning how to code in the popular Python programming language. But now budding Python developers can read up on ...

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 ...