Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

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 ...

Introducing Anaconda, a Python distribution for scientific research. I've looked at several ways you could use Python to do scientific calculations in the past, but I've never actually covered how to ...

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

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 ...

Computational Physics at SFU uses Python 3 from the Anaconda distribution. The documentation on this website will cover using Jupyter notebooks on the SFU Syzygy online servers. As an alternative, you ...