Data Analysis with Python

Jupyter Notebooks at the center of our strategy

In essence, Notebooks are web documents composed of editable cells that let you run commands interactively against a backend engine. As their name indicates, we can think of them as the digital version of a paper scratch pad used to write notes and results about experiments. The concept is very powerful and simple at the same time: a user enters code in the language of his/her choice (most implementations of Notebooks support multiple languages, such as Python, Scala, R, and many more), runs the cell and gets the results interactively in an output area below the cell that becomes part of the document. Results could be of any type: text, HTML, and images, which is great for graphing data. It's like ...