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Covers the principles and tools for reproducible research in biostatistics, emphasizing the importance of complete documentation and the use of text editors for compiling source documents.
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Presents an environment-based interpreter for recursive functions, optimizing evaluation through parameter bindings and eliminating the need for explicit substitutions.
