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NumPy: Generate an array of 15 random numbers from a standard normal distribution

NumPy: Basic Exercise-18 with Solution

Write a NumPy program to generate an array of 15 random numbers from a standard normal distribution.

Sample Solution :

Python Code :

import numpy as np
rand_num = np.random.normal(0,1,15)
print("15 random numbers from a standard normal distribution:")
print(rand_num)

Sample Output:

15 random numbers from a standard normal distribution:
[ 0.42690788  1.81615544  0.36591912 -0.41417837 -1.13061369 -1.31777265
  0.03659045  0.60765805 -0.2148491   0.25934697 -0.89221431  0.33059367
 -0.59079163  0.29665161 -0.2753327 ]

Python-Numpy Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m