Connecting to and querying Redshift from Python

This tutorial guides users through connecting to an Amazon Redshift data warehouse from Python, running SQL queries, and reading data into pandas DataFrames. It covers installing the redshift_connector package, setting up environment variables for authentication credentials, creating a connection and cursor, executing SQL queries, and using fetch_dataframe() method to read query results directly into pandas DataFrames. The tutorial also mentions alternative methods of connecting to Redshift such as psycopg2 and SQLAlchemy, but recommends the redshift_connector package for its ease of use and built-in features.