Use DuckDB to Run SQL on Pandas DataFrames in Python
DuckDB operates on the principle of in-process relational database management (RDBMS), functioning as a high-performance analytical engine embedded directly within application processes rather than requiring a separate server instance. This architecture facilitates seamless interoperability between programmatic data structures, such as Pandas DataFrames, and standard SQL query logic by allowing direct registration of these structures as virtual tables within the local scope of the execution context. The domain belongs to in-memory database systems (IMDBS) specifically optimized for analytical workloads like Online Analytical Processing (OLAP), bridging the gap between procedural data manipulation languages and declarative relational algebra.
Use DuckDB to Run SQL on Pandas DataFrames in Python
DuckDB operates on the principle of in-process relational database management (RDBMS), functioning as a high-performance analytical engine embedded directly within application processes rather than r…