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MultiThreading in Python | Python Concurrent futures | ThreadPoolExecutor
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Welcome to the video series on multithreading and multiprocessing in python programming language. In this video I'm talking about Python concurrent futures, which is an alternative way of doing multithreading and multi processing in python programming language.
The idea behind futures is not new and pretty much all programming languages have it in one way or others, but most of the time this topic is a bit confusing for the people. I've tried to make it simpler so that its easy for everyone to understand.
In this video, I've talked about creating multiple threads using ThreadPoolExecutor, I've talked about 3 way by which we can use the ThreadPoolExecutor to create multiple async tasks and take back the result from the async functions. I've also talked about using maps to put multiple async tasks
Hope this video will help you to understand concurrent future and you'll like this video.
Thanks for watching. Here are the contents of this video.
Timecodes
0:54 : Meaning of Futures in Programming Languages
2:39 : Using concurrent futures in python
4:33 : Creating Threads for async tasks
8:19 : Using ThreadPoolExecutor Map in python
10:10 : ThreadPoolExecutor return values from asyn functions
#python #multithreading #futures #concurrentfutures #machinelearning #dataanalytics #python3 #pythontutorial
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Greetings and Thanks a lot for checking out my YouTube Channel. I’m Deepak K Gupta (Daksh). This channel is a medium for me to share my learnings and journey as a Techie so that you not only learn from my experience but also from my mistakes
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