NumPy Assignment – Detailed Questions

Instructions

• Complete all the following tasks using NumPy and Matplotlib.
• Write clean and readable code.
• Each function should return the required output.
• Do not hardcode answers.

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Part A: Basics and Array Creation

1. Create a NumPy array containing numbers from 1 to 10.
2. Create a 3x3 matrix filled with zeros.
3. Create a 3x3 identity matrix.
4. Create an array with values from 10 to 50 with a step of 5.

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Part B: Arithmetic Operations

5. Given two arrays: a = [1, 2, 3]
   b = [4, 5, 6]

   Perform:

   • Element-wise addition
   • Element-wise subtraction
   • Element-wise multiplication
   • Element-wise division

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Part C: Slicing and Indexing

6. Create an array from 0 to 19.
7. Extract:
   • First 5 elements
   • Last 5 elements
   • Elements from index 5 to 10
8. Reverse the array.

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Part D: Matrix Operations

9. Create two 2x2 matrices and perform:
   • Matrix multiplication
   • Transpose of a matrix
   • Determinant of a matrix

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Part E: Random Numbers

10. Generate:

• 5 random numbers between 0 and 1
• A 3x3 matrix with random integers between 1 and 10

11. Find the maximum and minimum values from the generated array.

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Part F: Plotting and Visualization

12. Plot the graph of:

• y = x^2
• y = x^3

For x values from 0 to 10.

13. Add:

• Title
• X and Y labels
• Legend

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Submission Guidelines

• Submit your completed assignment.py file.
• Ensure all functions are implemented correctly.
• Code will be evaluated using automated tests.

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Evaluation Criteria

• Correctness: 60%
• Code Quality: 20%
• Visualization: 20%