pandas is a Python library providing fast, expressive data structures for working with structured or relational data sets. In addition to being used for general purpose data manipulation and data analysis, it has also been designed to enable Python to become a competitive statistical computing platform. In this talk, I will discuss the library's features and show a variety of topical examples.
Author of pandas and upcoming book Python for Data Analysis. Building powerful tools for finance, data analysis, and statistics. Cofounder of @LambdaFoundry bio from Twitter
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