This paper contains an analysis of sequential processing, multithreading, and multiprocessing of a simple application based on Python programming language. Due to the availability of powerful hardware, parallelism and concurrency have become an efficient and powerful solution when considering software performance. Execution times are a significant factor to look at when designing and implementing software. In this paper, we analyze the software performance regarding sequential processing, concurrency and parallelism and its impact on execution times when using network port scanning. The analysis is based on three separate implementations of the same function and its performance on the same network subnet, same hardware, and operating system. We will show that multithreading and multiprocessing have a significant performance impact on software analyzed when using repetitive executions and that we are able to improve the performance of our application. The results obtained will provide insights into the parallel capabilities of Python programming language, and it will show the differences between multithreading and multiprocessing techniques. We will explore both models for parallel computing. The purpose of this paper is to explore the implementation of multithreading and multiprocessing in Python programming language and its potential limitations and implementation suggestions

Keywords : Concurrency, Multiprocessing, Multithreading, Parallelism, Sequential Processing