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 ...

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 ...

Anaconda, Inc. (formerly Continuum Analytics) is releasing version 5 of the Enterprise SKU of its namesake Python distribution today. Are you thinking to yourself "A new release of a programming ...

AUSTIN, Texas--(BUSINESS WIRE)--Anaconda Inc., provider of the world’s most popular data science platform, today announced that Snowpark for Python, an Anaconda-embedded repository and package manager ...

Anaconda Inc., an open ecosystem for sourcing, building, and deploying data science and AI initiatives, announced the release of Anaconda Code within its Anaconda Toolbox for Excel. This new feature ...

AUSTIN, Texas--(BUSINESS WIRE)--Anaconda Inc., provider of the world’s most popular data science platform, today announced a collaboration with Oracle Cloud Infrastructure to offer secure open-source ...