DWOPT - SQL query abstraction library

Getting summary statistics out of database tables is often an unstreamlined process. Does one read in millions of rows before doing any work on Python, or run SQL elsewhere and use intermediate CSVs, or write sql strings in python scripts?

The Python package dwopt (Datawarehouse Operator) uses classes with a collection of sql templates to dynamically build and run queries, under a flexible summary query building framework.

Specifically, it features Excel-pivot-table-like API, a collection of dataframe-summary-methods-like API, and a collection of DDL/DML statements, metadata query wrappers.

Supports:

• Python 3.10, 3.11.

• Windows 10: Sqlite, Postgres, Oracle.

• Linux: Sqlite, Postgres.

See the Features and the Walk Through section for examples.

Table of contents

• Overview
  • Installation
  • Features
  • Walk Through
  • Development
• API Reference
  • The set-up functions
  • The database operator class
  • The query class