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What is OCS353 Unit 2 about?

The document is a comprehensive guide on NumPy and pandas in Python, covering fundamental concepts, operations, and examples related to arrays, data frames, and indexing. It includes questions and tasks related to creating and manipulating arrays, handling missing data, and understanding hierarchical indexing and pivot tables. Additionally, it addresses advanced topics such as broadcasting, aggregate functions, and fancy indexing, providing a solid foundation for data science applications in Python.

Author

deepakmadhan98

Language

EN