Welcome! I'm a software engineer, and I like blogging about Python and programming in general. I'm the author of several open-source Python libraries, including Peewee ORM, Huey task queue, and lots more. Below you can find a list of my most recent blog posts.
If you don't know what you're doing here, check out some posts I'm not too embarrassed of.
Zero AI-generated content.
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Ghost in the Shell: my AI Experiment
A man's at odds to know his mind cause his mind is aught he has to know it with. He can know his heart, but he dont want to. Rightly so. Best not to look in there. It aint the heart of a creature that is bound in the way that God has set for it. You can find meanness in the least of creatures, but when God made man the devil was at his elbow. A creature that can do anything. Make a machine. And a machine to make the machine. An evil that can run itself a thousand years, no need to tend it.
This isn't a post about the machines, though. It is always the human builder that comes first and last.
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Asyncio Finally Got Peewee
Which way I fly is hell; myself am hell;
And in the lowest deep a lower deep
Still threat'ning to devour me opens wide,
To which the hell I suffer seems a heav'n.
I feel that it is high time that Peewee had an assyncio story. I've avoided this for years, but asyncio is not going anywhere. Peewee remains a synchronous ORM, but in order to work with the ever-widening sphere of async-first web frameworks and database drivers, it was time to come up with a plan.
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AsyncIO
I'd like to put forth my current thinking about asyncio. I hope this will answer some of the questions I've received as to whether Peewee will one day support asyncio, but moreso I hope it will encourage some readers (especially in the web development crowd) to question whether asyncio is appropriate for their project, and if so, look into alternatives like gevent.
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Caching trick for Python web applications
I'd like to share a simple trick I use to reduce roundtrips pulling data from a cache server (like Redis or Kyoto Tycoon. Both Redis and Kyoto Tycoon support efficient bulk-get operations, so it makes sense to read as many keys from the cache as we can when performing an operation that may need to access multiple cached values. This is especially true in web applications, as a typical web-page may multiple chunks of data and rendered HTML from a cache (fragment-caching) to build the final page that is sent as a response.
If we know ahead-of-time which cache-keys we need to fetch, we could just grab the cached data in one Redis/KT request and hold onto it in memory for the duration of the request.
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