如何在不同conda环境的两个不同python进程之间交换数据？

Question

Two python scripts, A and B, have compatibility issues and need separate conda environments for them. Here's the scenario. When script A runs, it sends data to process B (Script B is running in a different terminal), and process B returns the output to process A (Process A cannot be put to sleep). I have been using pickle files for exchanging data between these two processes, but this method seems slow, and I would like to speed it up, which is necessary for my work.

Answer 1

1. make one program a child of the other using the subprocess module and have the communication over stdin and stdout. (fastest) (note you have to activate the other anaconda environment in the command to launch the child)
2. have one application be a server and attach to a socket on localhost, the other application is going to be the client using the socket module. (most organized and scalable solution)
3. make a part of the memory a shared memory that both applications can access and write and read from using multiprocessing.shared_memory (requires proper synchronization, but can be faster than first option for transferring GBs of data at a time), (wrapping it in an io.TextIOWrapper will make communication a lot easier, as easy as working with sockets)