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.

Mariah is a Berlin-based writer with six years of experience in writing, localizing and SEO-optimizing short- and long-form content across multiple niches, including higher education, digital ...

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 ...

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 ...

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 ...