3. Random Numbers

3.1. random

Table 33. random

Function

Description

random.random()

Random float: 0.0 <= x < 1.0

random.randint(min, max)

Return a random integer N such that min <= N <= max. Max is included

random.gauss(mu, sigma)

Gaussian distribution. mu is the mean, and sigma is the standard deviation

random.shuffle(list)

Randomize order of list (in place)

random.choice(list)

Single random element from a sequence

random.sample(list, k)

k random elements from list without replacement

random.seed(a=None, version=2)

Initialize the random number generator. If a is omitted or None, the current system time is used

3.2. Pseudo and Pure random numbers

  • What are pseudorandom numbers?

  • Why it is not possible to generate a pure random number?

  • What is random.seed(0)?

3.3. Assignments

3.3.1. Random numbers

  • Complexity level: easy

  • Lines of code to write: 5 lines

  • Estimated time of completion: 10 min

  • Filename: solution/random_numbers.py

English
  1. Print 6 random integers without repetition in range from 1 to 49

Polish
  1. Wyświetl 6 losowych i nie powtarzających się liczb całkowitych z zakresu od 1 do 49.

3.3.2. Sum of inner elements

English
  1. Use only random module

  2. Set random.seed(0)

  3. Generate outer: List[List[int]] with 16x16 random digits

  4. Calculate sum of inner 4x4 elements

  5. Inner matrix is exactly in the middle of outer

Polish
  1. Używaj tylko modułu random

  2. Ustaw random.seed(0)

  3. Wygeneruj outer: List[List[int]] z 16x16 losowych cyfr

  4. Policz sumę środkowych 4x4 elementów

  5. Środkowa macierz jest dokładnie w środku większej

Hint
  1. Digits are in range from 0 to 9 inclusive