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Source channel @githubtrending · Post #14714 · May 16

#go#compression#decompression#deflate#go#golang#gzip#snappy#zip#zstandard#zstd The "github.com/klauspost/compress" package offers many fast and efficient compression tools in pure Go, including zstandard, S2 (a faster Snappy replacement), optimized deflate for gzip/zip/zlib, and snappy with better compression and concurrency. It also provides entropy encoders (huff0, FSE), HTTP gzip handlers, and a parallel gzip implementation (pgzip). These tools are drop-in replacements for Go's standard libraries but run about twice as fast, saving time and resources. You can easily add it to your project with `go get`. It supports current and recent Go versions and offers options to disable unsafe code or assembly for compatibility. This package benefits you by improving compression speed and efficiency while maintaining compatibility with standard Go compression APIs, making your applications faster and more resource-friendly. https://github.com/klauspost/compress

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О городах и данных

@datainthecity · Post #253 · 12/12/2024, 12:18 PM

While there is a constantly growing number of publications about the integration of large models (#LLMs, Visual language models) with spatial apps—both academic and marketing 😎 — we added our two bits from solving real business cases. Next time you see a lot of comments under another LinkedIn post featuring #geoai and #arcgis as a game changer of this integration, take a deep breath and remind yourself about hitting the target. 😃