This is the second post in a series based off my Python for Data Science bootcamp I run at eBay occasionally. The other posts are:
a Python crash course exploratory data analysis. introductory machine learning. Jupyter is an interactive computing environment that allows users to create heterogeneous documents called notebooks that can mix executable code, markdown text with MathJax, multimedia, static and interactive charts, and more. A notebook is typically a complete and self-contained record of a computation, and can be converted to various formats and shared with others.