MultiThreading In Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 26 | 268 MB
Genre: eLearning | Language: English
Python MultiThreaded Programming
Some feel threads are too hard and painful for programmers to use. It can be difficult to get a good education in how to program with threads. Most of the times, concurrent programming remains somewhat esoteric.
Python MultiThreaded Programming
Welcome to the Course "MultiThreading In Python":Python Multithreaded Programming
Some feel threads are too hard and painful for programmers to use. It can be difficult to get a good education in how to program with threads. Most of the times, concurrent programming remains somewhat esoteric.
If you're a programmer and you're not already writing concurrent software, you should start. 100+ cores could be common ten years from now (or possibly even sooner).
As the typical number of CPUs increases, concurrency is changing from a beneficial option to a necessity. That will increase demand for understanding of concurrent programming, and every programmer needs the knowledge of concurrent programming.
This course contains A simplistic programming approach which helps you to learn the concepts and usage of different multi threading apis in the Multi Threading module of Python.
The following programming questions are dealt in this course:
1. Write a pgm to create a thread which will print 'hello world' on the screen
2. Write a pgm to create 5 threads which in turn each will print 'hello world' on the screen
3. Write a pgm to create a thread which adds 2 numbers and prints the result
4. Write a pgm to create 5 threads which executed in parallel, each will add 2 numbers and print the result
5. Write a pgm to print the default thread name while the thread is under execution
6. Write a pgm which creates a thread, officially names it and tries to print the official name of the thread
7. Write a pgm where in we use the logging function to print the thread name, the debug level while the thread is executing
8. Write a pgm to create a thread which is not dependent on the main thread (create a daemon thread)
9. Write a pgm to do the following:
- Create a daemon thread
- From the main thread function, wait indefinitely for the daemon thread to complete execution
10. Write a pgm to do the following:
- Create a daemon thread
- From the main thread function, wait for a stipulated period to the daemon thread to complete execution
11. Write a pgm to check if the thread is still active and is the thread a daemon
12. Write a pgm to create a daemon thread, and using the enumerate and join function, wait for the daemon thread to complete execution
13. Write a pgm to create 3 daemon threads, and using the enumerate and join function, wait for the deamon threads to complete execution
14. Write a pgm to override the run function of thread
15. Write a pgm to override the constructor and run functions of thread
16. Write a pgm where in a thread waits for a particular event indefinitely. once the event is set by the main thread, the thread stops waiting and resumes execution
17. Write a pgm where in a thread waits for a particular event for a particular period of time. once the event is set by the main thread, the thread stops waiting and resumes execution
18. Write a pgm which creates 2 threads which does the following with out conflict:
Acquire the lock, increment the counter If a thread already owns the lock, acquire will increment the recursion level by one, and return immediately.
29. The following states/features supported by the ____________ object
Locked
Unlocked
30. The following states/features supported by the _______________ object
Locked
Unlocked
Owning thread
Recursion level
31. Which thread method is used to wait until it terminates?
32. How to detect the status of a python thread?
33. How to check if a particular thread is a Daemon or a normal thread ?
34. Which one is reentrant lock type?
35. How to terminate a blocking thread?
36. How is the run method invoked?
37. _____________ synchronization method is used to secure the resources with limited capacity
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