12.3. Math Random

12.3.1. random

Table 12.7. 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

12.3.2. 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)?

12.3.3. Assignments

12.3.3.1. Random numbers

• Assignment name: Random numbers

• Last update: 2020-10-01

• Complexity level: easy

• Lines of code to write: 5 lines

• Estimated time of completion: 13 min

• Solution: solution/random_sample.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.

12.3.3.2. Sum of inner elements

• Assignment name: Sum of inner elements

• Last update: 2020-10-01

• Complexity level: medium

• Lines of code to write: 5 lines

• Estimated time of completion: 13 min

• Solution: solution/random_matrix.py

English

1. Use only random module

2. Set random.seed(0)

3. Generate outer: list[list[int]] with 16x16 random digits (0-9 inclusive)

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 (0-9 włącznie)

4. Policz sumę środkowych 4x4 elementów

5. Środkowa macierz jest dokładnie w środku większej

Figure 12.2. Sum of inner elements