🏗️ Asynchronous Programming in Python 🚀

📌 Overview

This repository contains a series of asynchronous programming projects in Python, structured by increasing complexity. Each project is designed to help master concepts such as asyncio, await, asyncio.Queue(), aiohttp, and more.

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📂 Project List & Progress

#	Project Name	Concepts Covered	Status
1️⃣	Simulated Task Runner	async def, await, asyncio.run()	✅ Completed
2️⃣	Parallel API Requests Simulator	asyncio.gather(), aiohttp	✅ Completed
3️⃣	Asynchronous Web Scraper with Timeouts	asyncio.wait_for(), asyncio.Semaphore()	✅ Completed
4️⃣	Async Task Queue (Order Processing)	asyncio.Queue(), Multiple Workers	✅ Completed
5️⃣	Async Chat Server (Networking)	asyncio.start_server(), Sockets	❌ Undone
6️⃣	Asynchronous Web Crawler with Database Storage	asyncpg, asyncio.Semaphore(), Efficient Async DB Writes	❌ Undone

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📌 Completed Projects

1️⃣ Simulated Task Runner ✅

🔹 Goal: Simulate a system where tasks run asynchronously instead of sequentially.
🔹 Concepts Covered:

• async def, await
• asyncio.run()

🔹 Key Learning: Tasks should run in parallel, not one after another.

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2️⃣ Parallel API Requests Simulator ✅

🔹 Goal: Fetch data from multiple URLs concurrently instead of sequentially.
🔹 Concepts Covered:

• asyncio.gather() (run multiple async tasks together)
• aiohttp for async HTTP requests
• Handling responses asynchronously

🔹 Key Learning: Using asyncio.gather() reduces API response time dramatically.

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3️⃣ Asynchronous Web Scraper with Timeouts ✅

🔹 Goal: Fetch multiple web pages concurrently while handling slow responses and timeouts.
🔹 Concepts Covered:

• asyncio.wait_for() to cancel slow tasks
• asyncio.Semaphore() for rate-limiting
• aiohttp for efficient async HTTP requests

🔹 Key Learning: Timeouts and error handling are crucial for building reliable async programs.

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4️⃣ Async Task Queue (Order Processing System) ✅

🔹 Goal: Implement an async queue-based system where multiple workers process tasks concurrently.
🔹 Concepts Covered:

• asyncio.Queue() (buffered task queue)
• Multiple workers (async def worker())
• Graceful shutdown (asyncio.gather(), task_done())

🔹 Key Learning: Queues prevent bottlenecks and ensure smooth parallel processing.

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📌 Pending Projects

5️⃣ Async Chat Server (Networking) ❌ Undone

🔹 Goal: Build a real-time chat server where multiple users send & receive messages asynchronously.
🔹 Concepts to Implement:

• asyncio.start_server() (handle multiple clients)
• asyncio.StreamReader & asyncio.StreamWriter for reading/writing messages
• Broadcasting messages to all connected clients

🔹 Status: Pending Implementation

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6️⃣ Asynchronous Web Crawler with Database Storage ❌ Undone

🔹 Goal: Build a large-scale web crawler that stores scraped data into a database.
🔹 Concepts to Implement:

• asyncpg or aiomysql for async database writes
• Task concurrency control using asyncio.Semaphore()
• Error handling & retries for failed requests

🔹 Status: Pending Implementation

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📌 Running the Projects

Prerequisites

Ensure you have Python 3.8+ installed. Install required dependencies:

pip install aiohttp

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📌 Next Steps

✅ Continue working on the remaining projects
✅ Push updates to GitHub
✅ Improve error handling & efficiency in completed projects
✅ Optimize code for performance improvements

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👨‍💻 Author

Built by SCCSMARTCODE as part of mastering Python Asynchronous Programming 🚀.