Multiprocessing completed

Multiprocessing Support/multi.py

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+import random
+import multiprocessing
+
+
+def list_append(count, id, out_list):
+    # appends the count of number of processes which takes place at a time
+    for i in range(count):
+        out_list.append(random.random())
+
+    if __name__ == "__main__":
+        size = 999
+        procs = 2
+        # Create a list of jobs and then iterate through
+        # the number of processes appending each process to
+        # the job list
+        jobs = []
+
+    for i in range(0, procs):
+        out_list = list()  # list of processes
+        process1 = multiprocessing.Process(
+            target=list_append, args=(size, i, out_list))
+
+        # appends the list of processes
+        jobs.append(process1)
+
+    # Calculate the random number of processes
+    for j in jobs:
+        j.start()  # initiate the process
+
+    # After the processes have finished execution
+    for j in jobs:
+        j.join()
+        print("List processing complete.")