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

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 ...

These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

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 ...

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 ...

IPython, a Python-centric tool for data visualization and analysis, has been split into several packages as part of the transition to the language-agnostic Jupyter project. IPython 4.0, unveiled last ...