Search Results for "writing"

...A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL.

django-pgtrigger is a Django library for defining and managing PostgreSQL triggers directly in Python code. It allows developers to create database-level logic like automatic field updates, auditing, or validation without writing raw SQL. It’s ideal for teams that want stronger data integrity while keeping logic version-controlled.

...TinyDB neither needs an external server (as e.g. PyMongo) nor any dependencies from PyPI. TinyDB works on all modern versions of Python and PyPy. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares. TinyDB has been tested with Python 3.6 - 3.10 and PyPy3.

Pity is a powerful and user-friendly open-source API test platform that supports automated test case creation, test scheduling, and result visualization. Designed for developers and QA teams, it provides a web-based interface for writing, organizing, and executing HTTP tests, making it easy to maintain robust API quality in CI/CD pipelines.

Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. ...

Python module for reading and writing DBF files. Originally it was created by Jeff Kunce and later maintained by Hans Fiby.

pglib is an implementation of the frontend side of the PostgreSQL protocol, version 3.0. It is written in Python and Twisted (a framework for writing asynchronous applications). It offer a low level, asynchronous, acces to a PostgreSQL database, wit

pysqlgtk integrates the objectrelational mapper SqlObject into pygtk, thus making writing database frontends with python a snap.

...The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application. Following is an example of a query in Pony: select(p for p in Product if p.name.startswith('A') and p.cost <= 1000) Pony translates queries to SQL using a specific database dialect. ...

PySQLdb provides a simple and consistent programming interface to SQL databases, in Python. The PySQLdb classes are abstracted sufficiently for programmers consider writing tiny compilers (in python!) that take a SQL file and auto-generate code to acc

Is a replicator system writing in python for heterogeneous databases.