Go database query builder library for PostgreSQL
Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.
Pattern matching and tagged unions in JavaScript without new syntax.
A python package that recognizes clauses, Cnfs, graphs, hypergraphs, and multi-hypergraphs. The package implements local graph-rewriting, graph-satchecking, calculation of graph disjunctions, as well as checking of new reduction rules.
This Repository contains C implementation of various basics of parallel computing using OpenMP.
Extraction Dependency Based on Evolutionary Requirement Using Natural Language Processing
SQL_PRACTICE_QUESTIONS | NOTES. 📝 | APNA COLLAGE | SMITH INSTITUTE | FUSSION INSTITUTE | 📚 THIS REPOSITORY DOCUMENTS MY JOURNEY OF LEARNING MYSQL, ONE OF THE MOST POPULAR RELATIONAL DATABASE MANAGEMENT SYSTEMS. 🗄️
Tool for Answer Extraction and Question Generation
DML DDL DQL TQL AGGREGATE-FUNCTION
SAT Problem solved by using a genetic algorithm for the Analysis of Algorithms course.
A beginner-friendly repository containing well-structured SQL notes, examples, and explanations to help students and developers understand Structured Query Language (SQL) concepts from scratch.
Complete Course of SQLite3(Library of Python) for Data Manipulation.
The Assignments which I have solved during my education.These includes sql queries on topics like subqueries, Joins & its types, Operators, Statements, Clauses and many more….
Ejercicios del curso: MySQL Workbench.
SQL project to analyze Pizza sales data. This project involves analyzing a pizza sales database using SQL to help the store understand its business growth by answering key questions.
This project involves analyzing a music playlist database using SQL to help the store understand its business growth by answering key questions.
Developed a Hospital Management Database Project using MySQL to manage and analyze patient, doctor, and admission records. Implemented complex SQL queries using joins, aggregate functions, CASE statements, subqueries, and data analysis techniques to generate healthcare insights and patient analytics.
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