The text discusses the use of Python with InfluxDB v2.0, specifically the Python Client Library, which has undergone significant improvements since version 1.x. The library supports multiprocessing, returns query results as Pandas DataFrames, and offers various write options. To get started, users need to gather authentication parameters such as bucket name or ID, token, and organization (org). Then, they can import the client library, establish a connection, and use the WriteAPI to write data to InfluxDB. The text also covers querying InfluxDB using the QueryAPI, including table structure and stream options. A script example is provided for writing and querying points to InfluxDB with the Python Client.