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

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 ...

Back in the late 1970s and early 1980s when you turned on a PC, more often than not, you’d get a Basic prompt. Most people would then load a game from a tape, but if you were inclined to program you ...

Microsoft has teamed up with NASA to create three project-based learning modules that teach entry-level coders how to use the Python programming language and machine-learning algorithms to explore ...

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal syntax. The standard library includes many useful modules that you can use to ...

Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs. Creating, organizing, ...

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 ...

In this video from SciPy 2019, Anderson Banihirwe from NCAR presents: Interactive Supercomputing with Jupyter and DASK. This talk demonstrates how to use Dask and Jupyter on large high-performance ...