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Detailed explanation of Python multi-threaded instances
Multi-threading usually involves opening a new background thread to handle time-consuming operations. It is also very simple for Python to do background thread processing. Today I found a Demo from the official documentation.
Example code:
import threading, zipfile class AsyncZip(threading.Thread): def init(self, infile, outfile): threading.Thread.init(self) self.infile = infile self.outfile = outfile def run(self): f = zipfile.ZipFile(self.outfile, 'w', zipfile.ZIP_DEFLATED) f.write(self.infile) f.close() print('Finished background zip of:', self.infile) background = AsyncZip('mydata.txt', 'myarchive.zip') background.start() print('The main program continues to run in foreground.') background.join() # Wait for the background task to finish print('Main program waited until background was done.')
Result:
The main program continues to run in foreground. Finished background zip of: mydata.txt Main program waited until background was done. Press any key to continue . . .
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