Numpy: Creation of Objects

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Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

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Covers advanced topics in analysis, focusing on continuity and differentiability of functions.