There’s a secondary pro and con to this pipeline: since the code is compiled, it avoids having to specify as many dependencies in Python itself; in this package’s case, Pillow for image manipulation in Python is optional and the Python package won’t break if Pillow changes its API. The con is that compiling the Rust code into Python wheels is difficult to automate especially for multiple OS targets: fortunately, GitHub provides runner VMs for this pipeline and a little bit of back-and-forth with Opus 4.5 created a GitHub Workflow which runs the build for all target OSes on publish, so there’s no extra effort needed on my end.
When asked about this, specifically in relation to Styles, Dunstan said, "we are so honoured that out of any venue in the world that Harry and his team have chosen Co-op Live".
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Speeding up virtual memory
be used for a variety of applications such as creating reports, summaries,
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