One thing all Data Engineers are doomed to do in purgatory will be to solve different date and datetime problems in an endless loop. I’m sure of it. I can’t imagine anything worse, so that must be it. Either way the constant need to manipulate dates and datetimes are just a way of life, something that never ends and never changes. Also, it appears Polars is here to stay from what I can tell. Not a fad like that Data Mesh. Since Polars is here to stay, (I’ve already got it running in production at my company, (don’t mind if I bow)), we should probably take a gander at how to manipulate date and datetime objects from both the Dataframe and (if I have time) SQL perspective. See if we can find anything to complain about. I like to complain.

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Is there anything more Chad than Apache Airflow … and Rust? I think not you whimp. What two things do I love most? At the moment Rust and Airflow are at least somewhere at the top of that list. I wring my hands sometimes, wishing that things and technologies somehow come together into some bubbling soup and witches concoction from the depths. Then I had a strange thought while laying in bed one night.

What would happen if I ran my Rust inside my Apache Airflow? What would happen? Would the sun go dark? Would SQL Servers everywhere puke up their log files and go to Davey Jones’s locker? Birds fall from the sky? Why hasn’t anyone done this before, why isn’t anyone making this happen in real life?

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So perhaps you’re thinking it’s time to use Rust on your next project. You’ll find plenty of primers on how to get your feet wet in the language (and if you somehow made it this far without that much, The Book is that starting point), but maybe you’re feeling a bit lost amidst the seas of opportunity. While still growing, the Rust ecosystem has many great existing options to pull from, and you’re now asking “How do I even?”

If you’re wondering how to make sense of your third-party library ecosystem, I hope to get you thinking like a Rustacean.

If you’re stuck on trying to find the right library for you, jump down to the section on crates for a primer on discoverability. Otherwise, if you already know what you’re working with and are looking to understand it, keep reading to see how I do it.

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