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Source channel @olddriverGDstudy · Post #38 · Mar 17

#知识 性爱技巧 有男生问我:爱爱时很快就射,怎么办?我回答:节奏放慢,不要着急插入,而要做足“三个半小时”: 1️⃣狂吻半小时,吻得她透不过气,吻得她嘴肿,让她深切感受到你对她的真实激情; 2️⃣玩弄半小时,在嘴上继续狂吻,在胯下开始抠摸,抠摸她的阴蒂,抠摸她阴道内的各个兴奋点,抠得她忍不住喘气呻吟,全身扭动而顾不上让你再吻; 3️⃣舔阴半小时,上边放开她的嘴,下边抽出你的手,趴下身去,把你的脸紧贴她的阴部,狂吻她的阴唇,狂舔她的阴蒂,狂吸并且狂咽她的阴液,让她浑身发抖,在高潮中连连叫床……这时,这时,你才可以在她“进来,进来,快进来”的连声央求下,从容不迫地挺身而出,掰开她的双腿,奋力插将进去,并且一插到底!这样,即使你很快就射,她也已经像死猪一样顾不上说你什么了!

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Repositorio data science

@repo_science · Post #4071 · 03/19/2024, 03:19 PM

#webScraping#Python 🕷 Web Scraping with Python: Data Extraction from the Modern Web, 3rd Edition ✏️Ryan Mitchell ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3543 · 08/29/2023, 02:03 AM

#Python#webscraping 😎 Automate the Boring Stuff with Python Programming Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don’t need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. - Web scraping - Parsing PDFs and Excel spreadsheets - Automating the keyboard and mouse - Sending emails and texts - And several other practical topics ⚖️10.5 GB 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3215 · 05/22/2023, 03:31 PM

#python#webScraping 🐍 Scrapy masterclass: Python web scraping and data pipelines Work on 7 real-world web-scraping projects using Scrapy, Splash, and Selenium. Build data pipelines locally and on AWS 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3217 · 05/23/2023, 03:49 PM

#webScraping El #UserAgent, o Agente de Usuario en español, es una cadena de texto que identifica el navegador web o la aplicación que se utiliza para acceder a un sitio web. Esta cadena se envía al servidor web en cada solicitud y puede contener información sobre el sistema operativo, el navegador web, la versión del navegador y los complementos utilizados. La información obtenida también puede utilizarse para optimizar la experiencia del usuario, por ejemplo, sirviendo contenido diseñado para funcionar mejor en un dispositivo móvil en lugar de una computadora portátil. Por otro lado, los webmasters pueden usar la información del user agent para verificar el reconocimiento de bots, para bloquear bots no deseados, o para algo como un análisis cruzado de usuarios o un análisis de la audiencia del sitio web. A continuación les dejamos una listado extenso de users-agents👇 🔗Lista de users-agents ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3180 · 05/12/2023, 07:53 PM

#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 -----

GitHub Trends

@githubtrending · Post #15520 · 02/24/2026, 02:30 PM

#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