What are Jupyter and Pandas?

This will walk you through Jupyter Notebook and Pandas and how they can help solve some of the typical problems associated with getting going on your customer analytics project.

The Jupyter Notebook is a web application that allows you to create and share documents that contain executable code, equations, visualizations and explanatory text. Jupyter notebooks, combined with the Python Pandas library, are quickly becoming established and de facto tools for the modern data scientist because of their ease of use, repeatability of commands, and flexibility for data explorations.

This content was previously recorded.

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What our customers are saying

Susan Holcomb

Susan Holcomb

Head of Data Science

“In the early stages of data analysis, running many queries to understand data is important. Treasure Data has been great for that. The only tool that provided the flexibility we needed.”

Ted Cardenas

Ted Cardenas

VP of Marketing, Car Electronics

“The partnership with Treasure Data was really about the scale...Treasure Data became involved over the past year as we expanded considerably the number of vehicles we have out there collecting this data, and Treasure Data was important as we increased the market size from five or six years with tens of thousands of vehicles to now millions of data points.”

Danny Zhang

Danny Zhang

Co-Founder

“Our engineers no longer worry about maintaining analytics infrastructure... Instead, they focus on how to use the logged data to make our products better.”