This tutorial guides developers through creating efficient and scalable applications with asyncpg and PostgreSQL. It covers the basics of asyncpg, a high-performance asynchronous PostgreSQL client library for Python, and its integration with TimescaleDB, an open-source time-series database designed to efficiently manage large-scale time-series data. The tutorial demonstrates how to perform CRUD operations using asyncpg and provides tips on handling larger datasets and optimizing time-series queries for performance gains. By the end of this tutorial, developers will have learned how to make applications efficient but also scalable with asyncpg and PostgreSQL.