Top Tweets for #AsyncPython
π Sync scraping: 1,000 pages = 50 min
β‘ Async scraping: 1,000 pages = 3 min
Same logic.
Different execution.
π§ asyncio + π aiohttp + π¦ Semaphore
Thatβs the entire secret.
π₯ Faster requests
β³ Less waiting
π Massive scalability
#Python π #AsyncPython β‘ #WebScraping π·οΈ

π Still waiting 50 minutes for your scraper to finish?
β‘ Async Python can scrape 1,000 pages in just 3 minutes ππ₯
#Python π #AsyncPython β‘ #WebScraping π·οΈ #Coding π» #Programming π #Developers π¨βπ» #Automation π€ #Tech π₯
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 π
https://t.co/sd0DZBEvEZ
#Python #Python3 #AsyncPython #AsyncioTutorial
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
I just published πβ‘ Using Celery With FastAPI: The βAsync Inside Tasksβ Event Loop Problem (and How Endpoints Saveβ¦ https://t.co/Eb3eA6G8HF
#FastAPI
#Celery
#Python
#APIs
#Backend
#WebDevelopment
#AsyncPython
FastAPI (π΄ Advanced) - Performance: Background Tasks
π‘ BackgroundTasks runs after the response is sent. Perfect for emails, notifications, and logging.
#FastAPI #Python #Performance #AsyncPython #API #BackendDev

4οΈβ£ 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. π» 4/8
#DeveloperLife #AsyncPython
π Phase 1 of Python Search Engine V3 β
Scalable async gateway connecting embedding & vector search. Optimized with httpx pooling, connection limits & Docker-ready modules.
Next: caching, analytics & worker bots β‘
π https://t.co/nOOcfj8F7D
#MLOps #Backend #AI #AsyncPython
βοΈ Why Async Python Is a Must-Know in 2025
Python devs are leaning into async for real-time power:
π§΅ Non-blocking I/O = faster performance
π Ideal for APIs, scrapers, and chatbots
β‘ Tools: asyncio, FastAPI, aiohttp
#AsyncPython #FastAPI #PythonDev #PyQt5 #DevTools

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
Pythonβs async & await = smarter multitasking.
They let your code run concurrent I/O tasks, like fetching URLs or reading files, without blocking.
Think: βDo other things while waiting.β
Itβs key for fast, responsive apps.
Ever tried it?π
#Python #AsyncPython #PythonTips

Build high-throughput batch APIs with #AzureCosmosDB + #FastAPI πβ‘
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

This is huge! π 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! π #django #asyncpython
Call for Review π΅οΈ
Pull request #18408 proposes async support for database connections and cursors β 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 Djangoβs future! π
π Day 19 of #100DaysOfCode
π Explored asynchronous programming in Django today!
β³ 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! πͺπ©βπ»
#Django #AsyncPython
Just finished a project using #Python's async features and the performance boost is incredible. #asyncPython #ContainerOrchestration
Async Python is not faster https://t.co/GyWIKQckRN #AsyncPython
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