You can use Python for data science with a wide selection of libraries and built-in analytics tools, but to build modern data-intensive apps and tooling, Supabase, a backend-as-a-service built on top of PostgreSQL, is an excellent choice. With the powerful and open source Python SDK, you can automate tasks such as CRUD operations in just a few lines of code. To get started, set up your Supabase account, create tables, install the Python SDK, use API keys to authenticate, insert data into Supabase using Python, and view the data stored in Supabase. With these steps, loading data into Supabase is easy, making it a great choice for building modern data-intensive apps and tooling.