I have a long string of data streaming continuously, which is generated by my C# script. I would like to use it as an input to Python Machine Learning model.
What is the fastest & easiest way to implement this transmission?
I have found some possible options:
Data as an argument, while python is running as a process in C# or
Something different?
Provided that these processes run on the same machine, I think when handling big chunks of data between process memory mapping is the way to go.
In other case TCP/UDP sockets is a good option since they don't have the overhead of the Application layer which, HTTP for example, has
I suggest option 6 Use Database like sqlite.
With this option you gain:
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