#typescript#3d#browser_based#cad#geometry#occ#occt#opencascade#three#threejs#wasm#webassembly#webcad
Chili3D is a free, open-source 3D CAD application that you can use directly in your web browser. It allows you to create and edit 3D models without needing to install any software on your computer. You can make basic shapes like boxes and spheres, draw 2D sketches, and perform advanced operations like combining shapes. It also includes tools for precise alignment and measurement. This makes it easy for anyone to design and edit 3D models online, which is helpful for both beginners and experienced users.
https://github.com/xiangechen/chili3d
https://medium.com/towards-data-science/using-scrapy-to-build-your-own-dataset-64ea2d7d4673
In short, #Scrapy is a framework built to build web scrapers more easily and relieve the pain of maintaining them. Basically, it allows you to focus on the data extraction using #CSS selectors and choosing XPath expressions and less on the intricate internals of how spiders are supposed to work.
#scrapy
Scrapy is a fast high-level #web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from #data_mining to #monitoring and #automated_testing.
https://github.com/scrapy/scrapy
#python#crawler#feapder#feaplat#python#scrapy#spider
Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch.
https://github.com/Boris-code/feapder
#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
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