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Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Explores model interpretation, compilation via partial evaluation, function calls, and the transition to partial evaluation, emphasizing the importance of model interpreters in supporting modeling languages.
Covers the fundamentals of Object-Oriented Programming in C++, including encapsulation, inheritance, and polymorphism, with examples in various OOP languages.