All the floppy drives I've ever seen had a little mechanical arm attached to a microswitch that detected the presence or absence of the write protect notch. VHS cassettes worked similarly.
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Related, check out OvenMediaEngine: https://github.com/AirenSoft/OvenMediaEngine
I've had great success doing transcription on-prem with Speechmatics: https://www.speechmatics.com They offer both a VM and a Docker image that you can run behind your firewall, and even license offline if you really need to. I use it for generating closed captions of videos, but you could build a transcription tool out of it as well. Their engine's accuracy is the best I've found out there, too, which is a nice bonus.
The exact opposite for me -- I’ve been interested in using FastAPI with SQLAlchemy for some time, so this project is exactly what I’ve been looking for.
Also of note: HLS supports byte range addressing, so you can create the various stream files as single .ts files rather than a collection of segments per stream. A client can use the Range HTTP header to select the window of bytes it wants for the stream/bandwidth slot it wants. This mode is supported from something like iOS 5 and up, and ffmpeg has flags to produce such streams.
FWIW, the SD card slot in newer (but not newest, ugh) Mac models is connected via the PCIe bus and not USB.
See also: https://github.com/pypa/pipfile
I'm glad to see Python getting the same attention as other modern package managers. This is all great work!
And yet, "Creating a JIRA task is like going to the fucking DMV."
I'm curious to learn how API response caching is affected by GraphQL. In a REST setup, there's a possibility that API responses can be cached. But if the response structure is dictated by the client, it seems like responses might differ and not be cacheable.
Double-tap the video to flip to the other camera.
I imagine it could work like Android 9-patch PNG drawables, which have an extra ring of pixels around the perimeter that mark content zones and stretching zones.
This thing is so nimble in the air yet has a fraction of the complexity of a regular helicopter. I wonder if this method will scale up to "full size"?
Shameless plug: A few co-workers and I hacked together the same thing not too long ago, using an Arduino: http://www.command-tab.com/2013/07/23/gottago/