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@dianjingtiyuxieyi · Post #5435 · 08/29/2025, 10:49 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局2 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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Source channel @githubtrending · Post #14786 · Jun 4
#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
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电竞-体育-LPL LCK俱乐部消息-中文频道推荐群
@dianjingtiyuxieyi · Post #5432 · 08/29/2025, 09:37 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 全局获胜：ECS 地图比分：2-1 地图让分：ECS+1.5 地图大小：大于2.5 (重心） CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局1 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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@githubtrending · Post #14851 · 06/22/2025, 11:30 AM
#python#aws#aws_cli#aws_sdk#cloud#cloud_management#cloudformation#cloudwatch#dynamodb#ec2#ecs#elasticsearch#iam#kinesis#lambda#machine_learning#rds#redshift#route53#s3#serverless AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily. https://github.com/donnemartin/awesome-aws