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cloudpickle reviews and mentions
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No-GIL mode coming for Python
I believe you just pass objects instead, like you would in OOP, and take the hit of pickling and unpickling them every time.
If you really want to pass lambdas, you can use a third party library to pickle them
https://github.com/cloudpipe/cloudpickle
Yes, this is not great.
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Is it possible pickle a function with its dependencies?
That was my understanding as well but then I found this package -- cloudpickle which seems to serialize both data and functionality?
- Issue with sklearn
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I'm learning monads by implementing IO in different languages
It used in production for several months now. We use it to train data science models. The main goal was to make multiprocessing code easier. It actually works great with multiprocessing, especially if you use a library able to serialize lambda functions such as https://github.com/cloudpipe/cloudpickle . I have yet to write a tutorial on how to use multiprocessing and cloudpickle to distribute work to all the worker processes. Thanks for letting me know about pfun. I've never heard of it. Having a look at its documentation, our goals seem to be very close. The features I wanted above all where:
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A note from our sponsor - InfluxDB
www.influxdata.com | 27 Apr 2024
Stats
cloudpipe/cloudpickle is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of cloudpickle is Python.
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