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.

If you’ve ever wanted to learn more about how to setup and use Jupyter Notebooks, IPython and Pandas, then this guide is for you!

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Susan Holcomb

Susan Holcomb

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“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.”

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Ted Cardenas

VP of Marketing, Car Electronics

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Co-Founder

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