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Getting into NumPy Basics
course content

Course Content

Getting into NumPy Basics

Getting into NumPy Basics

IntroductionCreating NumPy ArraysManipulating and IndexingBasic Statistical OperationsLinear Algebra OperationsReshaping and StackingSaving and Loading Arrays to/from Files

bookManipulating and Indexing

Manipulating and indexing NumPy arrays involve altering and retrieving the elements of a NumPy array. NumPy stands as a potent library for handling large, multi-dimensional arrays and matrices of numerical data in Python.

It offers an array of functions and methods for manipulating and indexing arrays, including techniques to extract specific rows, columns, or elements, alter an array's shape, transpose arrays, and convert arrays into a 1D vector.

Task
test

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  1. Create a random 4x4 array filled with random integers ranging from 0 to 10.
  2. Extract the second row.
  3. Extract the second column.
  4. Replace the second column of the array with a new column of all ones.

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Section 1. Chapter 3
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