There are several reasons why Python is a preferred tool in toxicology research. Firstly, Python offers powerful data manipulation capabilities through libraries like Pandas and NumPy. These libraries allow toxicologists to easily organize, analyze, and visualize large datasets. Additionally, Python's machine learning libraries such as scikit-learn enable the development of predictive models, which are invaluable in assessing the potential risks of chemical exposures.
