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Article URL: https://morepypy.blogspot.com/2020/08/a-new-chapter-for-pypy.html Comments URL: https://news.ycombinator.com/item?id=24139685 Points: 7 # Comments: 1 from Hacker News: Front Page https://ift.tt/2XXlzWV via

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Article URL: https://news.osu.edu/young-children-would-rather-explore-than-get-rewards/ Comments URL: https://news.ycombinator.com/item?id=24139261 Points: 22 # Comments: 3 from Hacker News: Front Page https://ift.tt/3itbGbg via

Article URL: https://spectrum.ieee.org/the-institute/ieee-history/alohanet-introduced-random-access-protocols-to-the-computing-world Comments URL: https://news.ycombinator.com/item?id=24139207 Points: 4 # Comments: 2 from Hacker News: Front Page https://ift.tt/3alvREZ via

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Article URL: https://angel.co/company/fuzzbuzz/jobs/924765-backend-software-engineer Comments URL: https://news.ycombinator.com/item?id=24139135 Points: 1 # Comments: 0 from Hacker News: Front Page https://ift.tt/2XwVnBY via

Article URL: https://www.bbc.com/news/business-53724620 Comments URL: https://news.ycombinator.com/item?id=24139027 Points: 3 # Comments: 1 from Hacker News: Front Page https://ift.tt/2XRplRu via

Article URL: https://www.jeffgeerling.com/blog/2020/self-publishing-and-2nd-edition-ansible-devops Comments URL: https://news.ycombinator.com/item?id=24138969 Points: 13 # Comments: 3 from Hacker News: Front Page https://ift.tt/3gSeqP1 via

Article URL: https://www.devaboone.com/post/vitamin-d-part-1-back-to-basics Comments URL: https://news.ycombinator.com/item?id=24138590 Points: 16 # Comments: 3 from Hacker News: Front Page https://ift.tt/3kDDjQI via

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Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://ift.tt/2XRxxBc). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com support their data scientists with internal tooling and frameworks to increase productivity. When we worked as data scientists ourselves we noticed how heavily we had to depend on our software engineering skills to perform all kinds of tasks. From configuring cloud instances for distributed training, to optimizing the networking and storage for processing large amounts of data. We believe data scientists should be able to focus

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Article URL: https://ebpf.io Comments URL: https://news.ycombinator.com/item?id=24138503 Points: 5 # Comments: 0 from Hacker News: Front Page https://ebpf.io via

Article URL: https://www.ilovemdn.org/ Comments URL: https://news.ycombinator.com/item?id=24136895 Points: 77 # Comments: 18 from Hacker News: Front Page https://ift.tt/30QsjaP via

Article URL: https://milvus.io/ Comments URL: https://news.ycombinator.com/item?id=24128247 Points: 6 # Comments: 2 from Hacker News: Front Page https://milvus.io/ via