In this tutorial, I explain decorators in a very simple way by going over how to measure execution time of function using decorators. They serve as a wrapper to original function but does a wonderful job of avoiding code duplication and not cluttering original code with additional logic.
Code in this tutorial is available here: https://github.com/codebasics/py/blob/master/Advanced/decorators.py
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@Codebasis, out of curiosity, could we replace *args and **kwargs by parameters?, if so, how could we do it?.
Hi thanks a lot for your videos, i am new to this platform(python) ,
is this 25 sessions of course enough to learn python course completely ?
please help me with your comments .
Hello Sir
Thanks a lot for your videos.
I have gone through all 25 tutorials of python. What should i read next to learn python ?
Could you explain what is returned within the time_it function? So the "return result" and "return wrapper"? And is the "return result" within the time_it function redundant?
Again thanks for these clear tutorials! I also really enjoyed your tutorials about multithreading and multiprocessing. Could you make one about events, or event loops. And could you explain what asynchronous programming is (or is this just a term for multithreading/multiprocessing)?
" Can we use decorator inside decorator?" Use cases of it? — This is my interview question.. please share your view sir on this question..
With all due respect,I want to thank you for let me compleating basics of Python.Now I am looking to dig deeper.I am looking forward to get used to of Data Engineering/Analytic,so could you refer me which series of your video is good to start(1,2 or 3 series in row one after one)please.Thank you