An Experimental Study of Parallelism in Different Python Frameworks

Nowadays, people can get more CPU cores for less money, but having more cores is not particularly advantageous without parallelism. Python is a common programming language for many domains. By default, global interpreter locks in Python causes single-core utilization. To parallelise the code, multiple libraries/frameworks are available for python. Each framework has its advantage depending on the problem. However, determining which problems require which framework/library is difficult. This paper will assist users in mapping their problems to any of these frameworks that can solve their problems quickly