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contrib/advanced-python/MultiThreadingg.md

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# MultiThreading in python
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>> Introduction
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Multithreading in Python allows you to run multiple threads (smaller units of a process) simultaneously, enabling concurrent execution of
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tasks. This can be particularly useful for I/O-bound operations or when you need to perform multiple operations at the same time.
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>> Why Use Multithreading?
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1.Improved performance: Allows multiple tasks to run concurrently, which can lead to more efficient utilization of resources.
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2.Responsive applications: Keeps your applications responsive, especially during long-running operations.
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3.Better resource utilization: Makes better use of system resources, especially in I/O-bound applications.
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>> Introduction
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Multithreading in Python allows you to run multiple threads (smaller units of a process) simultaneously, enabling concurrent execution
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of tasks. This can be particularly useful for I/O-bound operations or when you need to perform multiple operations at the same time.
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>> Why Use Multithreading?
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1.Improved performance: Allows multiple tasks to run concurrently, which can lead to more efficient utilization of resources.
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2.Responsive applications: Keeps your applications responsive, especially during long-running operations.
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3.Better resource utilization: Makes better use of system resources, especially in I/O-bound applications.
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- Threading Module
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Python's threading module provides a way to create and manage threads. It includes the Thread class, which represents an individual thread of

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