**Tip: Multithreading in Python**
When using threads for parallelism, consider Python's Global Interpreter Lock (GIL), which can limit performance for CPU-bound tasks. For CPU-bound operations, consider multiprocessing.
import threading
import threading
def calculate_square(number):
print(f"Square of {number}: {number * number}")
numbers = [1, 2, 3, 4, 5]
threads = []
for num in numbers:
thread = threading.Thread(target=calculate_square, args=(num,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
print("All threads have completed.")
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