Kalman filters explained, idempotency, down-sampling in plotly
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Idempotency is a very simple algebraic concept that is important in building resilient systems. Love this article!
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Very approachable explanation of Kalman filters.
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Multiple examples in python of building a monitoring service on a serverless framework.
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Plotly is my default choice for visualization in python. Here's a library for down-sampling when the data get large. When you zoom in, callbacks are issued for resampling. Cool!
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A talk on Thursday (Dec 16!) on Ethics and Equity in Mathematical Modeling.
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Why has D3 had such staying power? Here is an interview with D3's creator, Mike Bostock.
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Clear presentation by Miguel Grinberg of various auth methods with python examples.
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I like this article for the parsimony and eliminate-variables theme it promotes, largely around avoiding over-engineering and taking advantage of existing tools. Some examples:
- Don't write your own secrets system (who would do this?)
- Don't let alerts grow unbounded (all too common)
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Like the author Jan Früchtl, I enjoy "What's in your bag" posts. Lots of goodies in his digital stack, mainly for design (everyone is talking about Figma), collaboration, and personal projects.
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Brief and well said: 9 short rules for a better life.