How to run multiple python scripts simultaneously from a wrapper script in such a way that CPU utilization is maximized?

Question

I have to run about 200-300 python scripts daily having different arguments, for example:

python scripts/foo.py -a bla -b blabla ..
python scripts/foo.py -a lol -b lolol ..
....

Lets say I already have all these arguments for every script present inside a list, and I would like to concurrently execute them such that the CPU is always busy. How can I do so?'

My current solution:

script for running multiple processes:

    workers = 15
    for i in range(0,len(jobs),workers):
        job_string = ""
        for j in range(i,min(i+workers,len(jobs))):
            job_string += jobs[j] + " & "
        if len(job_string) == 0:
            continue
        print(job_string)
        val = subprocess.check_call("./scripts/parallelProcessing.sh '%s'" % job_string,shell=True)

scripts/parallelProcessing.sh (used in the above script)

echo $1
echo "running scripts in parallel"
eval $1
wait
echo "done processing"

Drawback:

I am executing K processes in a batch, and then another K and so on. But CPU cores utilization is much lower as the number of running processes keep reducing, and eventually only one process is running at a time (for a given batch). As a result, the time taken to complete all the processes is significant.

One simple solution is to ensure K processes are always running, i.e once the previous process gets completed, a new one must be scheduled. But I am not sure how to implement such a solution.

Expectations:

As the task is not very latency sensitive, I am looking forward to a simple solution which keeps CPU mostly busy.

Note: Any two of those processes can execute simultaneously without any concurrency issues. The host where these processes run has python2.