#AsyncPython - Twitter Hashtag

Muhammad Usman | Web Scraping @MUsman132

10 days ago

🚀 Sync scraping: 1,000 pages = 50 min ⚡ Async scraping: 1,000 pages = 3 min Same logic. Different execution. 🧠 asyncio + 🌐 aiohttp + 🚦 Semaphore That’s the entire secret. 🔥 Faster requests ⏳ Less waiting 📈 Massive scalability #Python 🐍 #AsyncPython ⚡ #WebScraping 🕷️

MUsman132's tweet photo. 🚀 Sync scraping: 1,000 pages = 50 min
⚡ Async scraping: 1,000 pages = 3 min

Same logic.
Different execution.

🧠 asyncio + 🌐 aiohttp + 🚦 Semaphore
That’s the entire secret.

🔥 Faster requests
⏳ Less waiting
📈 Massive scalability

#Python 🐍 #AsyncPython ⚡ #WebScraping 🕷️ https://t.co/lzAqnSrmVa

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Muhammad Usman | Web Scraping @MUsman132

10 days ago

💀 Still waiting 50 minutes for your scraper to finish? ⚡ Async Python can scrape 1,000 pages in just 3 minutes 🚀🔥 #Python 🐍 #AsyncPython ⚡ #WebScraping 🕷️ #Coding 💻 #Programming 🚀 #Developers 👨‍💻 #Automation 🤖 #Tech 🔥

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kevin kubai

@KubaiKevin

27 days ago

Most teams burn weeks on async Python before measuring ROI. Mixing sync libraries and CPU work in async functions wastes CPU and time. Here is what actually paid off 👇 https://t.co/sd0DZBEvEZ #Python #Python3 #AsyncPython #AsyncioTutorial

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Ganesh Kedari @ganesh_kedari

3 months ago

Async Python with asyncio + httpx lets you run 100 concurrent API calls in the time of 1 sequential call. Critical for AI pipeline throughput. https://t.co/8KkcKKC2mV #Python #AsyncPython #DataEngineering #thegeekytales

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TΞRMTRIX @TermTrix

6 months ago

I just published 🐍⚡ Using Celery With FastAPI: The ‘Async Inside Tasks’ Event Loop Problem (and How Endpoints Save… https://t.co/Eb3eA6G8HF #FastAPI #Celery #Python #APIs #Backend #WebDevelopment #AsyncPython

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Aakash Gupta

@fosla98

6 months ago

FastAPI (🔴 Advanced) - Performance: Background Tasks 💡 BackgroundTasks runs after the response is sent. Perfect for emails, notifications, and logging. #FastAPI #Python #Performance #AsyncPython #API #BackendDev

fosla98's tweet photo. FastAPI (🔴 Advanced) - Performance: Background Tasks

💡 BackgroundTasks runs after the response is sent. Perfect for emails, notifications, and logging.

#FastAPI #Python #Performance #AsyncPython #API #BackendDev https://t.co/jR6g7LAq1o

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Shahrouz Nikseresht @Shahrouzlogs

6 months ago

4️⃣ Rewriting my bot with async/await has been tougher than I expected, but the progress is real. Still dealing with event loop quirks and restructuring my handlers, but the architecture is getting cleaner every day. 💻 4/8 #DeveloperLife #AsyncPython

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Tamal Mallick @themallickboy

8 months ago

🚀 Phase 1 of Python Search Engine V3 ✅ Scalable async gateway connecting embedding & vector search. Optimized with httpx pooling, connection limits & Docker-ready modules. Next: caching, analytics & worker bots ⚡ 🔗 https://t.co/nOOcfj8F7D #MLOps #Backend #AI #AsyncPython

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yamada fujio @yamadafujio98

11 months ago

⚙️ Why Async Python Is a Must-Know in 2025 Python devs are leaning into async for real-time power: 🧵 Non-blocking I/O = faster performance 🌐 Ideal for APIs, scrapers, and chatbots ⚡ Tools: asyncio, FastAPI, aiohttp #AsyncPython #FastAPI #PythonDev #PyQt5 #DevTools

yamadafujio98's tweet photo. ⚙️ Why Async Python Is a Must-Know in 2025
Python devs are leaning into async for real-time power:

🧵 Non-blocking I/O = faster performance
🌐 Ideal for APIs, scrapers, and chatbots
⚡ Tools: asyncio, FastAPI, aiohttp
#AsyncPython #FastAPI #PythonDev #PyQt5 #DevTools https://t.co/XnnTjhBLBF

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Arjav Desai

@arjav_desai

11 months ago

10/20Learn async GPU programming with asyncio and CUDA streams. Overlap data transfers with computation. https://t.co/m0rqsB74TR() and proper async patterns unlock massive performance gains. #AsyncPython #CUDAStreams

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quietdebugger @quietdebugger

12 months ago

Python’s async & await = smarter multitasking. They let your code run concurrent I/O tasks, like fetching URLs or reading files, without blocking. Think: “Do other things while waiting.” It’s key for fast, responsive apps. Ever tried it?👇 #Python #AsyncPython #PythonTips

quietdebugger's tweet photo. Python’s async & await = smarter multitasking.

They let your code run concurrent I/O tasks, like fetching URLs or reading files, without blocking.

Think: “Do other things while waiting.”

It’s key for fast, responsive apps.

Ever tried it?👇

#Python #AsyncPython #PythonTips https://t.co/QC2z8UX9A8

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Azure Cosmos DB

@AzureCosmosDB

12 months ago

Build high-throughput batch APIs with #AzureCosmosDB + #FastAPI 🐍⚡ This video shows how to use transactional batch operations, async concurrency, and partition-based grouping to boost performance. Watch now: https://t.co/LjGyhPUm16 #Python #NoSQL #AsyncPython

AzureCosmosDB's tweet photo. Build high-throughput batch APIs with #AzureCosmosDB + #FastAPI 🐍⚡

This video shows how to use transactional batch operations, async concurrency, and partition-based grouping to boost performance.

Watch now: https://t.co/LjGyhPUm16
#Python #NoSQL #AsyncPython https://t.co/qOPprL9ggJ

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Mugoya Dihfahsih @Dihfahsih1

about 1 year ago

This is huge! 🚀 Async DB support will open the doors for even more scalable Django apps. Hats off to everyone pushing this forward... can't wait to see this land! 🙌 #django #asyncpython

Django @djangoproject

about 1 year ago

Call for Review 🕵️ Pull request #18408 proposes async support for database connections and cursors — a huge leap for async support in Django! https://t.co/SWrFTZyjCY We're looking for reviewers with strong knowledge of database and Django ORM. Help shape Django’s future! 💚

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Adriana

@adrianatortja

about 2 years ago

🌟 Day 19 of #100DaysOfCode 🚀 Explored asynchronous programming in Django today! ⏳ Learned about async views, tasks, and tools like Django Channels & Celery for better performance and scalability. Excited to optimize my Django projects and level up! 💪👩‍💻 #Django #AsyncPython

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