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learn python multithreading in 8 minutes!
multithreading is a programming technique that allows multiple threads to run concurrently within a single process. in python, the `threading` module is used to create and manage threads. this tutorial will guide you through the basics of multithreading in python with a simple code example.
what is a thread?
a thread is the smallest unit of processing that can be scheduled by an operating system. threads share the same memory space and can communicate with each other more easily than processes, which are isolated.
why use multithreading?
1. **i/o bound tasks**: if your application is waiting for i/o operations (like reading from a file or network), you can use threads to perform other tasks while waiting.
2. **concurrency**: threads can help achieve concurrent execution, improving the responsiveness of applications.
understanding the `threading` module
the `threading` module provides a way to create and manage threads in python. the main classes and functions you'll use are:
`thread`: a class that represents a thread of execution.
`start()`: a method that starts the thread.
`join()`: a method that waits for the thread to finish.
basic example
let's create a simple program that demonstrates multithreading by printing numbers from two different threads.
step 1: import the required module
step 2: define a function for the thread
this function will print numbers with a delay.
step 3: create threads
now, we will create two threads that will run the same function with different parameters.
step 4: start the threads
we can now start the threads using the `start()` method.
step 5: wait for threads to complete
we can use the `join()` method to wait for the threads to finish before proceeding.
complete example
here's the complete code:
running the example
when you run the above code, you will see output similar to:
key takeaways
**thread creatio ...
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