This research review aims to build an understanding of astrometry as it is applied to the
Python coding language. The results of this review leads to a better understanding of the
Eddington Experiment and how it can be applied to precise modern day technology. This review
draws on a range of academic and technical sources, including books, articles, databases, and the
tutelage from experts in the field of astrophotography and astrometry. The goal of the research
was to gather historical and modern information detailing the purpose and processes of
astrometry. Additionally, it was key to have hands-on experience out in the field to learn how to
use modern astrometric tools and equipment, including telescopes, CCD cameras, star tracking
hardware, and image processing software. The gathering of this information and experience was
used to support building an applicable operating procedure for accomplishing high precision
astrometric processes using Python libraries specialized for this topic (as seen in Python
Telescope Control for MEE 2024 AFRIP Grant project). Python’s intuitive libraries and readable
syntax allows for scientists to tailor program designs for processing and analysis. After
reviewing the processes involved in astrometry, it was determined that there exists functions to
precisely perform all steps needed to map the stars in the sky from a laptop. This review serves
as an applicable overview of the operating procedures necessary for amateur astronomers and
students interested in the exploration of astrometry.