InfluxDB is a time series database that offers a Python client library called Pandas, allowing users to interact with the database through Python. The InfluxDB Python Client Library supports Pandas DataFrames, making it easy for data scientists to use InfluxDB. This tutorial explains how to query an InfluxDB instance and return the data as a DataFrame, as well as explore data science resources included in the Client repo. It also provides examples of writing Flux queries and converting them into DataFrames, and offers tips on using Pandas to complement Flux with InfluxDB. The library is designed to help users execute time series analysis faster, especially for smaller datasets.