SQL

SQL stands for structured query language. It uses commands such as “select”, “insert”, “update”, “delete”. Some common relational database management systems that use SQL are: Oracle, MySQL, Microsoft SQL Server, PostgreSQL, etc.

GitHub: https://github.com/topics/sql
Wikipedia: https://en.wikipedia.org/wiki/SQL
Created by: Donald D. Chamberlin, Raymond F. Boyce
Released: 1986
Related Topics: database,
Last updated: 2026-07-03 00:26:03 UTC
JSON Representation

https://github.com/parzibyte/crud-postgresql-python

CRUD con Python y PostgreSQL usando psycopg2

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https://github.com/johnftitor/medical_database

This exercise aims to reinforce our understanding of scheme diagrams in order to plan and create relational databases.

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https://github.com/0x0elliot/notes

Notes which might be very useful. Forgive me if they are too less. I try my best to add something slowly to them.

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https://github.com/srgeverson/syssite

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https://github.com/richardschoen/pythonibmicli

IBM i Python cli Scripts with CL commands to query databases or insert, update delete individual records. These can be used on any platform including IBMi - AS/400 with QSHONI/QSHEXEC

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Comparing hosted, serverless SQL cloud databases.

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This is a comprehensive SQL guide for both MySQL users and PostgreSQL users, covering topics from basic `SELECT` statements to advanced window functions. My SQL learning journey and the suggestions from my mentees, colleagues and seniors to document this were the motivations to write this document.

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Script to import data from the Open Food Facts to PostgreSQL (Dataset URL: https://www.kaggle.com/openfoodfacts/world-food-facts)

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A community currated SQL cheatsheet with most important SQL commands, information and tips. 💽

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Use SQL to instantly query Nomad ACLs, deployments, namespaces & more. Open source CLI. No DB required.

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Proyecto 4 para Unicorn Project: 🧹 Limpieza de datos - LearnData.🎯El objetivo de este proyecto Creación de una base de datos. Identificar y Corregir Inconsistencias. Detección y Eliminación de Duplicados. Normalización de Datos.

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Python package for comparing SQL tables and databases.

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Split large SQL dump files into individual table files. Fast, memory-efficient, multi-dialect.

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Quickly ingest folders of Apache log files into a normalized database. Automate processing files from multiple domains and multiple servers with complete Data Lineage. Small codebase & simple setup.

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Design the Data Warehouse with minimalistic code.

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