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.

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 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 ...

NEW YORK, Sept. 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 ...

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 ...

Anaconda, Inc., a Python data science platform provider, is partnering with Microsoft to embed Anaconda into Azure Machine Learning, Visual Studio and SQL Server to deliver data insights in real time.

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 ...