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    <p><code>PicklingError: Can't pickle 'tkapp' object: &lt;tkapp object at 0x02A4C4F0&gt;</code> it looks like you might be trying to share/send an object to a subprocess, though implicitly, fundamentally the <code>multiprocessing</code> module by default, follows the <code>no share</code> methodology, meaning all objects are copied and sent to the sub process, with the goal of a far easier and safer <code>true</code> multithreading system, at the cost of performance among other things.</p> <p>Python uses the <code>pickle</code> module to serialize objects, and hence, if you can't serialize it you can't send it to a subprocess, theres a second requirement, the function must be importable, being that:</p> <pre><code>def start_server(self): self.logger.insert(END,"Starting process for client.") process=multiprocessing.Process(target=self.start_serving) process.start() </code></pre> <p>is a member function it really isn't importable, multiprocessing was trying to serialize all its member variables most of which couldn't be serialize, though this is a hunch.</p> <p>you could try this, placed outside the class.</p> <pre><code>def start_serving(): HOST, PORT = "localhost", 9999 server = SocketServer.TCPServer((HOST, PORT), MyTCPHandler) server.serve_forever() </code></pre> <p>Assuming that you don't need any interprocess communication, if you do you can use a Queue from the multiprocessing module.</p> <p>this is how you start the subprocess.</p> <pre><code> def start_server(self): self.logger.insert(END,"Starting process for client.") self.process = multiprocessing.Process(target=start_serving) # make sure you keep a reference of the process. self.process.start() </code></pre> <p>then you can just kill the subprocess.</p> <pre><code>def stop_server(self): self.process.terminate() if __name__ == "__main__": Application().run() </code></pre> <p>Though I recommend you use the <code>ThreadingMixIn</code> instead of manually creating a subprocess, granted Im not sure if it uses <code>thread</code> or <code>process</code> being that <code>thread</code> don't actually run on multi-core machines due to the GIL while process do. I've tested it, unfortunately you cant kill the subprocess, <code>serve_forever</code> seems to be blocking...</p>
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