Несмотря на то, что проекты линейки Qt For Python (все версии PySide и PyQt) считаются полноценными production-решениями, они всё еще недоделаны и постоянно развиваются. В частности, не все классы оригинального С++ фреймворка реализованы с Python-версиях.
Некоторые классы действительно пропущены за ненадобностью. Например, вместо QVariant можно использовать любой Python-объект, вместо QString простые Python-строки и тд.
Но есть классы до которых просто еще не добрались разработчики.
На этой странице↗️ можно посмотреть полный список нереализованных классов. При этом в разных биндингах состав может отличаться. К примеру те же QString и QVariant всё ещё доступны в PyQt4.
#qt
#python#crawler#crawling#framework#hacktoberfest#python#scraping#web_scraping#web_scraping_python
Scrapy is a powerful tool for extracting data from websites. It works on many platforms and requires Python 3.9 or higher. Scrapy is free, stable, and can handle complex tasks efficiently. It allows you to manage multiple requests at once, making it fast and efficient for large-scale data extraction. Scrapy also supports various formats for storing data and has features like auto-throttling to prevent overwhelming websites. This makes it a great choice for users who need to collect data from many websites quickly and reliably.
https://github.com/scrapy/scrapy
#webScraping#Python#Scrapy
🐍
Scrapy course - Python web scraping for beginners
The Scrapy #Beginners Course will teach you everything you need to learn to start scraping websites at scale using #Python Scrapy.
Topics
- Creating your first #Scrapy spider
- #Crawling through websites & scraping data from each page
- Cleaning data with Items & Item Pipelines
- Saving data to CSV files, #MySQL & #Postgres#databases
- Using fake #user-agents & headers to avoid getting blocked
- Using #proxies to scale up your web scraping without getting banned
- Deploying your #scraper to the cloud & scheduling it to run periodically
🗣️ Joe Kearney.
🔗Link
📢#youtube
⭐️ Resources ⭐️
Course Resources
- Scrapy Docs
- Course Guide
- Course Github
- The Python Scrapy Playbook
-----
Main channel: @repo_science
Coupons: @freecoupons_reposcience
-----
#python#ai#ai_scraping#automation#crawler#crawling#crawling_python#data#data_extraction#mcp#mcp_server#playwright#python#scraping#selectors#stealth#web_scraper#web_scraping#web_scraping_python#webscraping#xpath
Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research.
https://github.com/D4Vinci/Scrapling