Python multiprocessing pool and threadpool

### python multiprocessing pool

the `multiprocessing` module allows you to create a pool of worker processes. this is particularly useful for cpu-bound tasks that require significant computation. the `pool` class enables you to manage multiple processes easily.

#### explanation:

1. **importing libraries**: we import the `multiprocessing` module and `time` for simulating a delay.
2. **defining the function**: the `square` function computes the square of a number and simulates a delay.
3. **creating a pool**: we create a `pool` with a number of processes equal to the number of cpu cores.
5. **results**: finally, we print the results.

### python threadpoolexecutor

#### explanation:

2. **defining the function**: the `fetch_data` function simulates a network operation with a delay.
3. **creating a threadpoolexecutor**: we create a `threadpoolexecutor` with a specified number of worker threads.
4. **submitting tasks**: we submit tasks to the executor and store the future objects in a dictionary.
5. **collecting results**: using `as_completed`, we retrieve results as they are completed, handling any exceptions that m ...

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