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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 #14752 · May 26
#typescript#dashboard#f1#formula1#nextjs#realtime#rust#typescript f1-dash is a free, real-time Formula 1 dashboard that shows live race data like leaderboards, tire choices, lap times, gaps between drivers, and sector times. It helps you follow the race closely with detailed telemetry and timing information, making it easier to understand what's happening on track as it happens. You can also contribute to its development or support the creator. This tool benefits you by providing an interactive, up-to-date way to enjoy and analyze F1 races beyond just watching, enhancing your race experience with rich data insights[1][2][3]. https://github.com/slowlydev/f1-dash
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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