Introduction to Jupyter Notebooks, Python Pandas, and Plotly.
Python is increasingly being used for data science, but it’s still easiest to share results on the web. Luckily the Plotly team has written libraries for both Python and Javascript, and you can migrate from one to another by simply sharing the JSON used to build the chart. In this workshop we’ll be using the Python Pandas library in a Jupyter Notebook to do some basic data analysis. Then we’ll create some data visualizations with Plotly, and then transfer our final visualization to Javascript.