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## Freshers / Beginner level questions & answers

### Ques 1. What is NumPy?

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate on these arrays.

### Ques 2. How to install NumPy?

You can install NumPy using the command 'pip install numpy'.

### Ques 3. Create a NumPy array from a Python list.

import numpy as npnmy_list = [1, 2, 3]narr = np.array(my_list)

### Ques 4. How to find the dimension of a NumPy array?

You can use the attribute 'ndim'. For example, if 'arr' is your array, use 'arr.ndim'.

### Ques 5. What is the difference between 'np.zeros()' and 'np.ones()' in NumPy?

'np.zeros()' creates an array filled with zeros, while 'np.ones()' creates an array filled with ones.

### Ques 6. How to access elements from a 2D NumPy array?

You can use indices. For example, 'arr[1, 2]' accesses the element in the second row and third column of 'arr'.

### Ques 7. How to find the shape of a NumPy array?

You can use the attribute 'shape'. For example, 'arr.shape' returns the shape of 'arr'.

### Ques 8. What is the purpose of 'np.eye()' in NumPy?

'np.eye()' creates an identity matrix with ones on the main diagonal and zeros elsewhere.

### Ques 9. How to perform element-wise addition of two NumPy arrays?

import numpy as npnarr1 = np.array([1, 2, 3])narr2 = np.array([4, 5, 6])nresult = arr1 + arr2

### Ques 10. What is the purpose of 'np.arange()' in NumPy?

'np.arange()' creates an array with regularly spaced values within a specified range.

### Ques 11. How to find the mean of a NumPy array?

You can use 'np.mean()'. For example, 'mean_value = np.mean(arr)'.