There are 1 repository under dql topic.
:memo: This VSTO Add-In is used for cleaning & creating a script for batch loading records into SQL Server, Oracle, Documentum, Markup or Markdown Languages. The functionality within the ribbon allows a quick way of preparing a bulk data load. Otherwise, the requests can be both time-consuming and error prone. It is written in 3 different versions as a VSTO Add-In in C# and VB.NET as well as a VBA Add-In. The most complete version is C#.
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
:zap: This Documentum scripting tool was created in Microsoft Visual Studio Community 2017 C#/WPF Ribbon. Multiple scripts can be contained in one file then run as one command against the idql32/64. It then refreshes the grid with the results file that is created by the idql tool.
Get custom time difference between two DateTime PHP object in Doctrine Query Langage (DQL)
Library to generate complete SQL WHERE statements, with simple, fluid and intuitive interface.
:mag: Doctrine KnpLabs/DoctrineBehaviors extension for Nette Framework (@nette)
Atividades relacionadas a Banco de dados
:mag: Doctrine beberlei/DoctrineExtensions extension for Nette Framework (@nette)
The Double Inverted Pendulum consists of two joint pendulums connected to a cart that is moving on a track, the RL agent needs to keeps in equilibrium the Double Inverted Pendulum.
A direct converter from GraphQL to Dgraph's DQL query language. With CRUD and Custom queries.
:mag: Doctrine oroinc/doctrine-extensions extension for Nette Framework (@nette)
SQL, DQL, Query Builders and code for the "Query Like a Pro in Doctrine" series - updated version of https://github.com/knpuniversity/doctrine-queries
Guia Iniciante de SQL, primeiros passos e apontamentos diversos
Deep Deterministic Policy Gradient, Double Deep Q Learning and Deep Q Learning Agents.
la manipulation des deux méthodes de récupération et d’invocation des données QueryBuilder & DQL
Assignment for UCB Extension's EL ENG X401.9 (Managing Database Using SQL).
Cheat-Sheet for SQL
HIkers est un projet SQL permettant la gestion d'une base de données relationnelle des randonneurs ainsi que tous leur parcours, offrant une interactivité avec l'utilisateur en lui donnant la possibilité d'effectuer des requêtes SQL de son choix .En un petit résumé , il s'agit d'un CRUD SQL/Python.
Wallpaper / Desktop Background sharing website on Symfony 4 Flex App
Play "Google Chrome Dinosaur" game via Deep Q Learning
Playground for Domino AppDev Pack
Reinforcement Learning (COMP 579) Course Project
Trata-se de um exercício extra de MySQL para a disciplina de Banco de Dados Não Convencionais, ministrada pelo professor Heuryk Wylk.
Independent Project - I joined and manipulated data from disparate tables of movie information using Python & SQLite; defined schema, created tables/views, queried data, etc. Utilized CTE's, Window Functions, and other DDL, DQL, DML, and DCL scripts.
"IPL Match Bidding App - Pie-in-the-Sky" is a SQL tool decoding IPL match data. It analyzes bidder success, popular stadiums, and toss impact. Tailored for IPL decision-makers, it simplifies complex data for strategic insights in just a few clicks.
Implemented MySQL schema for Travego Travellers, recording diverse passenger data and travel prices. Proficient in SQL commands, the project enhances decision-making for travel planning and pricing strategies.
The question-answer paper discusses Data mining techniques in Data Science
Wrapped up a fantastic SQL challenge at Digits n Data, where I had the opportunity to work with a compact yet intriguing database featuring 7 tables. 💻🔗 From optimizing queries to ensuring seamless data relationships, every step was a chance to showcase the beauty of SQL simplicity. 🌐✨.
As a Customer Insights Analyst for 'The General Store' Analysed the data sitting in different tables to find out crucial information about customers so as to provide to the marketing team.