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Python Job Interview Questions | Async Programming - in Hindi

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Nov 15, 2025
50:26

Unlock real-world speedups without rewriting your app. This session turns confusing buzzwords—async, await, event loop—into muscle memory with side-by-side code, live timing, and production patterns you can ship today. By the end, you’ll know exactly when async beats threads or processes, and how to avoid the silent killers: race conditions, data corruption, and inconsistent state with real code and interview-ready examples. 💡What you’ll learn ● What is async I/O and when to use it (vs threads/processes) ● Concurrency vs parallelism: where async shines for I/O-bound tasks ● Writing synchronous vs asynchronous code with side-by-side samples async/await, asyncio.run(), and asyncio.create_task() in practice ● Event loop internals and how scheduling actually works ● Coroutines vs Tasks and when to await ● Timeouts with asyncio.wait_for() and proper failure handling ● Synchronization in async code: how races happen and how to fix them ● Race conditions, data corruption, inconsistent state: real examples and patterns ● Semaphores for limiting concurrency and preventing overload ● Asyncio Queue for producer–consumer pipelines ● Asyncio Event for signaling without polling ● Interview Q1: Design a concurrent web crawler (structure, backpressure, error handling) ● Interview Q2: Build an async circuit breaker (timeouts, retries, half-open state) 💡Who is this for? ⬩ Python developers learning async or switching from threads ⬩ Interview prep for backend, data engineering, and platform roles ⬩ Anyone building networked, I/O-heavy, or high-throughput services 💡You’ll build ⮞ A minimal async vs sync comparison with timing ⮞ A task scheduler using create_task and gather ⮞ A robust pipeline with asyncio.Queue and backpressure ⮞ Concurrency-limited workers using a Semaphore ⮞ A timeout-safe await pattern with asyncio.wait_for ⮞ A production-style async circuit breaker 👉 GitHub - https://github.com/incomputingworld/piq ❯❯❯❯ Subscribe for upcoming episodes on Threading, Multiprocessing, and GIL strategies. 00:00:00 Introduction 00:00:54 What is async-io 00:03:57 Concurrency, Parallelism, Multi-Processing, Threading 00:05:26 Synchronous code - Sample code 00:05:52 Asynchronous code - Sample code 00:06:34 asyncio module 00:07:24 async/await and asyncio.run() 00:09:08 async/await and asyncio.run() - Code example 00:10:11 asyncio.create_task() 00:11:44 Event loop 00:12:36 Event loop - Code example 00:14:12 Coroutine 00:14:42 Task 00:15:29 await keyword 00:17:39 asynio.wait_for() 00:19:29 Synchronization in Async code 00:20:19 Race Condition 00:20:34 Data Corruption 00:20:44 Inconsistent State 00:21:01 Race Condition - Code Example 00:23:14 Semaphore - Code Example 00:24:14 Asyncio - Queue 00:26:26 Asyncio - Queue - Code Example 00:28:11 Asyncio - Event 00:29:35 Asyncio - Event - Code Example 00:30:24 Interview Question#1 - Concurrent Webcrawler 00:39:28 Interview Question#2 - Async Circuit Breaker 00:50:05 Conclusion

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Python Job Interview Questions | Async Programming - in Hindi | NatokHD