readme.md

Python Websockets and numpy

This example a matrix to a server using Websocket, the server replies with the inverse matrix.

Pickle methods loads and dumps are used to serialize numpy array through the socket.

The Matrix:

[[ 1  1  1]
 [ 0  2  5]
 [ 2  5 -1]]

and its inverse:

[[ 1.28571429 -0.28571429 -0.14285714]
 [-0.47619048  0.14285714  0.23809524]
 [ 0.19047619  0.14285714 -0.0952381 ]]

Requirements and installation

Install websockets, numpy

pip install websockets numpy

Run

Running server, it will listen to port TCP 8765

python src/basic/server/server.py

Then run the client

python src/basic/client/client.py 

Results:

Server side

Receiving matrix:
 [[ 1  1  1]
 [ 0  2  5]
 [ 2  5 -1]]
Sending inverse:
 [[ 1.28571429 -0.28571429 -0.14285714]
 [-0.47619048  0.14285714  0.23809524]
 [ 0.19047619  0.14285714 -0.0952381 ]]

Client side

Sending matrix:
 [[ 1  1  1]
 [ 0  2  5]
 [ 2  5 -1]]
Receiving its inverse:
 [[ 1.28571429 -0.28571429 -0.14285714]
 [-0.47619048  0.14285714  0.23809524]
 [ 0.19047619  0.14285714 -0.0952381 ]]

References

Websockets Getting started

Inverse Matrix with Numpy

serialize numpy array with pickle

Copyright

Free use!