The ClickHouse Community has developed chDB, an embedded SQL OLAP Engine powered by ClickHouse, allowing users to exploit the full power and performance of ClickHouse directly in their Python code. This model of database interaction has shown to be increasingly popular amongst data scientists and data engineers, providing a first-class integration and addressing common challenges such as performance, memory copies, and parallel pipelines. With chDB, users can query local and remote files with the full functionality of ClickHouse, integrate SQL into wider logic, and use ClickHouse with standard data manipulation and analysis libraries like Pandas. The project has already opened doors to interesting possibilities, including making AWS Lambda functions with ClickHouse simpler to write and deploy, providing a stateless experience for testing and fast data analysis, and unlocking new scales of local analytics. The community plans to extend chDB's capabilities, including support for User-Defined Functions (UDFs), ARM64/AARCH64 support, and ensuring prompt updates to support the latest versions of ClickHouse.