This article mainly introduces the relevant information of Python Detailed explanation of multi-threaded instances. Friends in need can refer to
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 . . .
Thank you for reading, I hope it can help everyone, thank you for your support of this site!
The above is the detailed content of Detailed explanation of using Python multi-threading examples. For more information, please follow other related articles on the PHP Chinese website!
![[Web front-end] Node.js quick start](https://img.php.cn/upload/course/000/000/067/662b5d34ba7c0227.png)
