Analyzing DNA data with Python is a powerful way to turn raw genetic sequences into meaningful insights. Using libraries like BioPython and pandas, you can easily load sequence files, explore nucleotide patterns, calculate metrics like GC content, and visualize results. This approach is widely used in bioinformatics for tasks such as mutation detection, evolutionary studies, and medical research, making Python an essential tool for anyone working with genetic data
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