Threading with python

how to spawn exact number of processes in parallel

# Import necessary modules
    from multiprocessing.pool import ThreadPool
    import subprocess

    # Define work function
    def work(sample):
        my_tool_subprocess = subprocess.Popen('mytool'.format(sample), shell=True, stdout=subprocess.PIPE)
        line = True
        

              
          while line:
            myline = my_tool_subprocess.stdout.readline()
            # here I parse stdout..

    # Set the number of workers (defaults to CPU count)
    num = None
    tp = ThreadPool(num)

    # Apply work function asynchronously to each sample
    for sample in all_samples:
        tp.apply_async(work, (sample,))

    # Close and join ThreadPool
          
    tp.close()
    tp.join()

Threading Advanages:

- Threading allows multiple tasks to be executed concurrently.
- Threading can enhance responsiveness, especially in tasks involving waiting for external resources.
- Threading is beneficial for tasks that can run independently, making efficient use of system resources.

subprocess.Call:

subprocess.call:
- subprocess.call is used to run a command in a subprocess and wait for it to complete.
- It is a blocking call, meaning the program waits until the subprocess finishes its execution before proceeding.
- It returns the return code of the subprocess.
subprocess.Popen:
- subprocess.Popen is used for more advanced process handling, allowing greater control over the input, output, and error streams of the subprocess.
- It runs the command in a subprocess, but the Python program doesn't wait for the subprocess to finish.
- You can communicate with the subprocess using its input and output streams.

If you're considering threading in Python, the subprocess module itself is not directly related to threading. If you want to run multiple subprocesses concurrently, you might want to explore the concurrent.futures module, which provides a high-level interface for asynchronously executing functions in separate threads or processes.

If you have a specific use case related to threading and subprocesses, providing more details would help in giving a more targeted recommendation.