Learn Multi threading in Python .How to create threads in Python. About Race Condition. Learnbay provides python training in Bangalore for network automation.

1. MultiThreading in Python
Multithreading

2. What are threads?
Thread is smallest unit that can be scheduled in an operating system.
Process vs Thread?
Multiple threads within a process share the same data space with the main thread
Threads sometimes called light-weight processes and they do not require much memory overhead
Create a Process:
Code: https://repl.it/IIpm/0

3. Threading in Python
There are two modules which support the usage of threads in Python:
Thread
Threading (We should use threading model instead of thread)
The module "thread" treats a thread as a function, while "threading module " is implemented in OOPS
way, i.e. every thread corresponds to an object.

4. Thread Module
we can use the function thread.start_new_thread:
thread.start_new_thread(function, args)
Method starts a new thread and return its identifier.Thread starts
and execute the handler function “function” with args as argument.
“Args” should be a tuple.
Code Example: https://repl.it/IIqg/3

5. Thread Lock
Discuss about atomic operation.What happens to global variable in case of
multithreading.
Problem in this code: https://repl.it/IIz1/0
Use lock_object = thread.allocate_lock()
And lock.acquire() and lock.release()
Code example: https://repl.it/IIyL/2

6. Threading Module
Threading module builds on the low-level features of thread to make working
with threads even easier and threads are implemented as objects.
Basic Example: https://repl.it/IJAB/3

7. Create a thread - Threading Module
Follow below steps:
Construct a subclass from the <Thread> class.
Override the <__init__(self [,args])> method to provide arguments.
override the <run(self [,args])> method to code the actual required logic of the thread.
When start is called on instance of Thread subclass,it eventually calls overridden run method.