Author: Paul Zivich
Python is a general computer programming language but has recently garnered popularity among data scientists with its versatility, ability to quickly process large data sets, and large library of machine learning models. I taught myself Python two years ago and while there are several Python libraries for epidemiology, I found the libraries were no longer actively maintained, did not interact with pandas (the main data management Python library), or implement causal inference methods (like inverse probability weights). To fill this gap, I created zEpid with the goal of making epidemiologic analyses in Python e-z.
Practical solutions for conducting great epidemiology methods. Transparency in code. Attitude of constant improvement.
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