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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
localscope is a small Python package that disassembles functions to check if they access global variables they shouldn't. I wrote this a few years ago to detect scope bugs which are common in Jupyter notebooks. It's recently come in handy writing jax code (https://github.com/jax-ml/jax) because it requires pure functions. Thought I'd share.
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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A crazy, but cool idea to implement this is using fork: https://github.com/thomasballinger/rlundo
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