Uses tokenized query returned by python-sqlparse and generates query metadata

Convert text from a file or from stdin into SQL table and query it instantly. Uses sqlite as backend. The idea is to make SQL into a tool on the command line or in scripts.

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Syntax free MySQL toolkit... Build sophisticated queries programmatically, no need for tedious string manipulation. Handle's a remote MySQL database connection with a context manager, call almost any SQL query through a single import. Execute large SQL script (100mb+) on remote database, automatic command recognition, separation, and sequential …

Django yordamida frontend va backendlari ko'tarilgan web sayt

A Neovim auto plugin for formatting SQL code using sqlparse.

Code Institute Full Stack Frameworks with Django mini project: Boutique Ado

une application Backend Django efficace pour organiser et suivre les tâches. Grâce à son architecture modulaire et à ses puissantes bibliothèques, Django facilite la création de fonctionnalités telles que l'attribution de tâches, la gestion des priorités et le suivi des délais, optimisant ainsi la productivité

A Django-based web application named "Twitter," allowing users to create and read tweets. Built with Python, it provides a simplified social media experience focused on user-generated content and real-time updates.

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

sqlparse in alpine docker - https://github.com/andialbrecht/sqlparse/

infra_sp2

Учебный проект для изучения работы GitHub Actions (Яндекс Практикум)

Учебный проект "Анфиса для друзей". С его помощью можно угощать друзей мороженым. Первый учебный проект

This project is an LLM-powered SQL Query Generator that allows users to generate SQL queries using natural language input. Built using GPT-4, it validates and executes queries against an SQLite database. The project aims to make database querying accessible for both technical and non-technical users.

Basic sql engine which supports simple queries of the type: SELECT <attributes> FROM <tables> WHERE <condition>;

The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.

Useful magic tools to facilitate SQL writing and execution within Jupyter