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Explores subtyping, generics, and variance in Scala, emphasizing the importance of precise type descriptions and demonstrating practical applications of for expressions.
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Covers the reduction of lists using operators like sum and product, along with implementations and differences between reduceLeft, foldLeft, foldRight, and reduceRight.