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beets.io
| | oldmoe.blog
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| | Introduction Recently, I have been working on a project that dealt with large sets of latency measurements. For these, I always needed to capture percentile values (e.g., p50, p95, p99, etc.). Since I was working with SQLite, I naturally used the stats extension to calculate those percentiles, which worked OK until it didn't! I realized...
| | blog.miguelgrinberg.com
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| | miguelgrinberg.com
| | blog.pecar.me
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| | What you need to know before putting SQLite in production
| | www.ethanrosenthal.com
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| I make Python packages for everything. Big projects obviously get a package, but so does every tiny analysis. Spinning up a quick jupyter notebook to check something out? Build a package first. Oh yeah, and every package gets its own virtual environment. Let's back up a little bit so that I can tell you why I do this. After that, I'll show you how I do this. Notably, my workflow is set up to make it simple to stay consistent.