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erikmcclure.com | ||
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www.smashcompany.com
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| | | | | [AI summary] The essay explores the broader implications of containerization technologies like Docker, comparing them to past programming paradigms such as object-oriented programming (OOP). It argues that while Docker and similar tools offer flexibility and modernization, they also introduce complexity and may become overhyped, much like OOP did in the past. The author suggests that the tech industry should be cautious about adopting new paradigms without fully understanding their long-term consequences. The piece also touches on the potential for future simplifications, such as separating compute from other aspects of computing, and references historical and theoretical frameworks like RINA to suggest alternative approaches. | |
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raphlinus.github.io
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| | | | | The GPU in your computer is about 10 to 100 times more powerful than the CPU, depending on workload. For real-time graphics rendering and machine learning, you are enjoying that power, and doing those workloads on a CPU is not viable. Why aren't we exploiting that power for other workloads? What prevents a GPU from being a more general purpose computer? | |
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blog.forrestthewoods.com
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| | | | | Technical deeptime into the unique networking architecture of Planetary Annihilation. | |
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yasoob.me
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| | | Hi there folks. Again welcome to yet another useful tutorial. This is again a stackoverflow answer. This one is related to the Python yield keyword. It explains you what yield, generators and iterables are. So without wasting any time lets continue with the answer. To understand what yield does, you must understand what generators are. And before generators come iterables. Iterables When you create a list, you can read its items one by one, and its called iteration: | ||
