Cancer research involves analyzing vast amounts of data from genomic sequences, patient records, and medical images. Python's data manipulation capabilities make it easier to preprocess and clean this data. Libraries like Pandas can handle large datasets efficiently, while Matplotlib and Seaborn offer powerful data visualization tools to identify patterns and trends.
