In a world that is dominated by speed and instant gratification, it comes as no surprise that the technologies that are necessary to power applications also have to be as fast as possible. Currently, the programming language Python is the ruler of the programming world. Python is being used to program everything from web applications to advanced AI systems. However, in recent years a challenger has emerged that is attempting to dethrone Python. Julia is a new programming language that is touted as a Python killer. Sporting an expressive syntax and a JIT compilation using LLVM it has the speed of C++ with the development feel of Python. Though it is often considered faster than Python there are several areas that most studies ignore such as code styling and general program architecture. As such, this study looks at the speeds of basic functionalities such as for loops, printing basic math equations to the console, and if statements of both Python and Julia to determine just how much faster Julia is. By only studying the listed commands all bias to architecture and coding style can be mitigated or eliminated and a true understanding of how much faster Julia is can be determined.