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Introduction to Data Science with Python

Solution: NumPy Essentials

Explore the fundamentals of NumPy by generating arrays, reshaping them into matrices, and applying scalar arithmetic to manipulate data. This lesson helps you understand key array operations essential for data analysis using Python's NumPy library.

We'll cover the following...

Perform the following tasks:

  1. Generate a vector array of 25 numbers using arange().
  2. Write a code to convert the vector array into a 2-D matrix using reshape.
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