March 24, 2018 – Jupyter & Python

Suite 303 – 771 Vernon Ave, Victoria, BC

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.

With the success of data science and big data analytics in the last decade, Python has emerged as a major language for data analytics. In 2014, Project Jupyter started as interactive, browser-based platform for data analysis and visualization in Python. Today, Jupyter is a widely adopted framework in industry and academia and has spawned many further applications. I will introduce the Jupyter Universe and discuss Jupyter’s advantages and its shortcomings. Together we will walk through a few of its various capabilities and extensions with Jupyter notebooks available at

Finally I will discuss and demonstrate the rising star of the Jupyter project, Jupyter Lab.

Also, see notes here:

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