Collections of links based on the topics included in the Symfony 3.0 certification exam
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Collections of links based on the topics included in the Symfony 3.0 certification exam
Instructions for building an almost consumer hardware based prototype of a hearing aid
Bring the Func(🕺)
An awesome, curated list of various software testing related blogs and similar resources.
Treat your database as Code
The repository host gives no description.
curated list of awesome resources, pointers, and tips related to veganism
Build a simple turn-based game to learn how to write production code using Hexagonal Architecture. Onboarding reference for Haraj Solutions Team.
A small example using PocketBase as a Go Framework with replication/restoration of SQLite DB with Litestream
Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.
List of secret menus inside Google Chrome and Chromium based browsers. Updated July 2026
The PostgreSQL Sample Database
Example Next.js project deployed on Vercel with AWS services for database, cron jobs and asynchronous jobs
A demo Music Store with Eclipse Vert.x and RxJava3
A Vue3 + Supabase starter template
TodoMVC+Firebase in Elm+ElmFire
Example No.de based OpenFLow Controller
Way to set heartbeat interval and the User receive PushNotifications from GCM. Based on related post in Google Forums about HeartBeat problem.
☀️ A 17kb Preact & Redux based Progressive Web App that provides relevant information to the user outside of the tab.
A comprehensive SQL syntax cheat sheet for quick reference, covering essential commands, functions, operators, and concepts across various database systems.
Library for encoding of binary data into strings using base32, base85, base128 and other algorithms for FPC and Delphi.
Single page demo application based on Dojo 1.9, Twitter Bootstrap 3 and history API
In this project, you will learn how to pull datas from supabase to google sheets in a matter of minute
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.