Chapter Exam

Chapter 6 Introduction to NumPy — Online MCQ Test

Q: What does NumPy primarily provide in Python?

Answer: B. Support for numerical and scientific computing — NumPy is a library used for numerical computation and efficient handling of large arrays and matrices.

Q: What is the full form of NumPy?

Answer: A. Numerical Python — NumPy stands for Numerical Python.

Q: What is the result of `np.array([1, 2, 3]) + 2`?

Answer: A. [3, 4, 5] — NumPy performs vectorized addition, adding 2 to every element of the array.

Q: Which mathematical function returns the square root of each element in a NumPy array?

Answer: A. np.sqrt() — `np.sqrt()` computes the square root element-wise for each value in the array.

Q: Which of the following is the best use of `np.sum()` in NumPy?

Answer: C. To add all elements of an array — `np.sum()` returns the total of all elements in the array, or along a specified axis.

INFORMATICS PRACTICES · Grade 11 · CBSE(NCERT)

Practice Chapter 6 Introduction to NumPy with a free chapter-wise online MCQ test for CBSE(NCERT) Grade 11 INFORMATICS PRACTICES. This chapter covers: Introduces the NumPy library for scientific and numerical computing. Covers NumPy arrays array creation indexing slicing vectorized operations mathematical functions array manipula.... AI-generated questions from basic to board-exam level, with instant results and explanations.

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Chapter 6 Introduction to NumPy — Important Questions & Answers (FAQ)

Frequently asked questions from CBSE(NCERT) Grade 11 INFORMATICS PRACTICES — Chapter 6 Introduction to NumPy, with answers and explanations. These are sample questions; the exam has its own separate question set.

What does NumPy primarily provide in Python?

A. Tools for web development
B. Support for numerical and scientific computing ✓
C. Functions for creating GUI applications
D. Commands for database management

Answer: B. Support for numerical and scientific computing
NumPy is a library used for numerical computation and efficient handling of large arrays and matrices.

What is the full form of NumPy?

A. Numerical Python ✓
B. Numeric Program
C. Number Processing in Python
D. New Python Module

Answer: A. Numerical Python
NumPy stands for Numerical Python.

What is the result of `np.array([1, 2, 3]) + 2`?

A. [3, 4, 5] ✓
B. [2, 4, 6]
C. [1, 2, 3, 2]
D. Error

Answer: A. [3, 4, 5]
NumPy performs vectorized addition, adding 2 to every element of the array.

Which mathematical function returns the square root of each element in a NumPy array?

A. np.sqrt() ✓
B. np.power()
C. np.abs()
D. np.sum()

Answer: A. np.sqrt()
`np.sqrt()` computes the square root element-wise for each value in the array.

Which of the following is the best use of `np.sum()` in NumPy?

A. To find the product of elements
B. To count the dimensions of an array
C. To add all elements of an array ✓
D. To reshape an array

Answer: C. To add all elements of an array
`np.sum()` returns the total of all elements in the array, or along a specified axis.

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