Multithreading and Multiprocessing in Python Code Challenges & Tips

1. Write a Python program using the `threading` module to create three threads that each print numbers from 1 to 5 with a 1-second delay between each print.

2. Implement a producer-consumer problem using Python's `threading` and `queue` modules, where one thread produces data and another consumes it.

3. Create a Python function that uses `concurrent.futures.ThreadPoolExecutor` to fetch data from multiple URLs in parallel and returns the content of each URL.

4. Write a program using the `multiprocessing` module that creates a pool of worker processes to compute the square of numbers in a given list and returns the results.

5. Implement a function that uses `multiprocessing` to generate Fibonacci numbers up to a specified number, ensuring that each Fibonacci number is calculated by a separate process.

6. Create a class that uses the `threading` module to implement a thread-safe counter, which supports incrementing, decrementing, and getting the current count.

7. Write a Python script that demonstrates race conditions and then resolves it using locks in the `threading` module.

8. Implement a task scheduler using `multiprocessing` that distributes a list of tasks among a set of worker processes and collects the results.

9. Create a function that performs a matrix multiplication using `multiprocessing`, dividing the work between multiple processes.

10. Write a Python program that uses the `asyncio` library combined with `threading` to perform asynchronous tasks while ensuring that the threads can still execute.