Category: Blog

  • Advanced SQL Query Optimization

    Advanced SQL Query Optimization

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    Optimizing SQL queries is essential for ensuring fast database performance, especially as data grows. Poorly written queries can lead to slow load times, high server load, and frustrated users. Common optimization techniques: Bonus tip: Regularly monitor slow queries and optimize based on actual workload using tools like pg_stat_statements, MySQL slow query log, or Query Profiler…

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  • Real-Time Chat App with Firebase

    Real-Time Chat App with Firebase

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    Firebase by Google offers a fast way to build real-time chat applications without managing your own backend infrastructure. Using Firebase Realtime Database or Firestore, you can sync messages instantly between users. Key Firebase tools: Basic structure: Example Firestore schema: bashКопироватьРедактировать/chats /room1 /messages – { sender: “Alice”, text: “Hi!”, timestamp: … } Frontend (JavaScript + Firebase):…

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  • Progressive Web Apps (PWAs) Explained

    Progressive Web Apps (PWAs) Explained

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    A Progressive Web App (PWA) is a web application that behaves like a native mobile app. PWAs can be installed on a user’s device, work offline, and send push notifications—all through standard web technologies. Key features: Core technologies: Example manifest: jsonКопироватьРедактировать{ “name”: “My PWA”, “start_url”: “/index.html”, “display”: “standalone”, “icons”: [{ “src”: “/icon.png”, “type”: “image/png”, “sizes”:…

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  • Simulating Real-Time Apps with WebSockets

    Simulating Real-Time Apps with WebSockets

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    WebSockets enable two-way, persistent communication between client and server, making them ideal for real-time applications like chat apps, games, or live dashboards. How WebSockets work: Use cases: Basic example (Node.js + ws library): jsКопироватьРедактироватьconst WebSocket = require(‘ws’); const server = new WebSocket.Server({ port: 8080 }); server.on(‘connection’, socket => { socket.send(‘Welcome to the WebSocket server!’); socket.on(‘message’,…

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  • Building a Personal AI Assistant

    Building a Personal AI Assistant

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    Creating a personal AI assistant is no longer science fiction. Thanks to advances in NLP, voice recognition, and APIs, you can build a digital assistant to automate tasks, answer questions, and manage daily routines. Core components: Simple example using Python: pythonКопироватьРедактироватьimport pyttsx3 def speak(text): engine = pyttsx3.init() engine.say(text) engine.runAndWait() speak(“Hello, how can I help you…

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