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/natuleadan/agents-pro
Natuleadan's AIO for AI agents fullstack NextJS Supabase Uptash (and more) with dynamic SSR pages and RBAC dashboard for administration with cooked APIs for use and connect agents with tooling
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https://github.com/chingling152/sql-spmedgroup
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https://github.com/zebbern/blindsql
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https://github.com/kevingastelum/relational-database-fcc
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https://github.com/itinycheng/json-to-chsql-parser
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https://github.com/tiagodanin/psql-statsshow
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https://github.com/sevdanurgenc/sql-project-ideas-for-beginners
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https://github.com/frempongdev/oop-school-library
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https://github.com/r3dhulk/sqli-detector-in-ruby
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https://github.com/sondosaabed/tools-of-the-trade-linux-and-sql
In this course, I have explored computing skills that I will use on-the-job as a cybersecurity analyst. First, I practiced using Linux OS commonly used by cybersecurity professionals. Used the Linux command line through the Bash shell to navigate, manage the file system, authenticate users. Then, I have used SQL to communicate with a database.
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https://github.com/bayoadejare/lightning-streams
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https://github.com/danieljdufour/bigintarray
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https://github.com/samia35-2973/learning-data-science
📚 This repository is my personal data science learning hub. Explore my journey from the very basics to advanced techniques. Dive into Python, data manipulation, analysis, visualization, and machine learning. Join me as I learn, grow, and experiment in the world of data science.
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https://github.com/avisionh/training-sql
Collection of interactive notebooks to teach T-SQL using the AdventureWorks database.
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https://github.com/mostafanabieh/58-challenges-solved-by-sql
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In this project is used a relational database to create the data structure for a vet clinic. A multiple SQL queries where answered based on this database and was analyzed on its performance as well.
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https://github.com/nathadriele/biophenotype-rag
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Sanitize and Execute your raw SQL queries in ActiveRecord and Rails with a much more intuitive and shortened syntax
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https://github.com/ieuanwalker/dissertation-project
This is the web application that i have created for my dissertation.
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https://github.com/excelano/xql
Run real SQL — SELECT, UPDATE, INSERT, DELETE — against SharePoint Lists and CSV files from one command-line tool.
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https://github.com/rir-statistics/rir-statistics
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https://github.com/zenorachi/dynamic-user-segmentation
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https://github.com/bhattbhavesh91/sql-pandas-fugue-demo
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https://github.com/makomweb/curious-moon-exercise
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https://github.com/hackolade/sql-select-statement-parser
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https://github.com/repalash/fexpr.js
Filter expression parser(like SQL WHERE, Elasticsearch etc) for JavaScript.
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https://github.com/coolhanddev/go-mssql-runner
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https://github.com/mannasoumya/sqltrip
SQL Map in CORE JAVA
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https://github.com/haxtra/super-sqlite3
Fast SQLite library with optional full db encryption, simple query builder, and a host of utility features, all in one neat package
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https://github.com/ralvescosta/gokit
Golang toolkit. Package to help us in the basic configurations in our applications
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https://github.com/Bardin08/db-seeder
DB Seeder: Quickly populate databases with meaningful test data from SQL scripts. Speed, convenience, scalability. 💡
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https://github.com/haroldeustaquio/sql-coding-challenges
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