After ignoring my school life for about a year, my academic performance was a mess. In order to graduate on time, I needed to finish several research within limited time. As a master student, I can’t just write papers based on basic regression. More complicated (or fancy) methods are expected. Fortunately, I think I met my savior, Python.
Python is the new weapon I am counting on. I took a one credit “for everyone” Python lecture 2 months ago, which turned out to be pretty serious. I didn’t expect to learn real coding until the professor started to teach us machine learning. Despite it being worth only one credit, I spent hours and hours in coding for assignments. Even my time in the US weeks ago was not exceptional.
I don’t believe Python is difficult to use. It is definitely not an “only a few people are able to use” situation. However, in a context of many people around me having trouble in handling Excel, I think by adapting machine learning to my research will surely make my papers stand out.
Currently, I am working on a project to make a universal module for a statistics purpose. Although software like Stata has the same features, it is not free and actually pretty expensive. In fact, my solution is simpler in many cases. The philosophy in designing this module is 100% for my personal use. However, I may consider making it public when its function is sophisticated enough.
At this point, I am questioning if I chose the wrong major. Programming is more attractive than Economics itself to me. Coding is kind of like writing articles with mathematical thinking, or building something without physically messing up the house. I am satisfied with either of those.
