The pandas library is a powerful tool for multiple phases of the data science workflow, including data cleaning, visualization, and exploratory data analysis. However, proper data science requires careful coding, and pandas will not stop you from creating misleading plots, drawing incorrect conclusions, ignoring relevant data, including misleading data, or executing incorrect calculations.

In this tutorial session from PyCon Cleveland 2018, you’ll perform a variety of data science tasks on a handful of real-world datasets using pandas.

What is the Internet of Things and what is Microsoft doing about it?

These are high level questions we have not addressed thoroughly yet on the IoT Show. Tom Davis, PM lead in the IoT Business Acceleration team, joins us for a whiteboard session to literally draw us the big picture.