This guide explains how to connect to Snowflake from Python in four easy steps, detailing the process and demonstrating how developers can write Python scripts to manage core Snowflake resources without using SQL. The steps involve setting up the environment, installing the CData Snowflake Python Connector, creating a connection, and executing queries and managing data. To set up the environment, users need to ensure they have a Snowflake account, user, and supported version of Python installed, and then install the CData Snowflake Python Connector using pip. The connector simplifies accessing Snowflake data by wrapping it in an interface commonly used by Python connectors to common database systems. Once installed, users can establish a connection between their Python script and the Snowflake data warehouse using the cdata.snowflake.connect() function. After establishing the connection, users can execute queries and manage data using the execute() function to create a cursor, which enables interacting with Snowflake by executing SQL queries and retrieving results. The connector also supports various data manipulation operations such as inserting, updating, and deleting data.