NumPy for Data Science Interviews: Part 02

Part 2 of the series on NumPy for Data Science

In the previous article, we looked at the basics of using NumPy. We discussed

• The need for NumPy and comparison of NumPy array with Python lists and Pandas Series.
• Array attributes like dimensions, shape, etc.
• Special Arrays in NumPy
• Reshaping NumPy arrays
• Indexing and Slicing NumPy arrays
• Boolean Masks in NumPy arrays
• Basic Functions in NumPy
• Vectorized Operations

In the second part …

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