Chapter 6 Introduction to NumPy — Online MCQ Test
INFORMATICS PRACTICES · Grade 11 · CBSE(NCERT)
Practice Chapter 6 Introduction to NumPy with a free chapter-wise online MCQ test.
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.
Chapter 6 Introduction to NumPy — Important Questions & Answers
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.
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.
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.
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.
`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.
`np.sum()` returns the total of all elements in the array, or along a specified axis.