Topics Covered

- Python Random Boolean
- Generate Random Boolean (True and False)
- Python – Generate Random Numbers Between 0 and 1
- Python – Generate Random Numbers Between two Specified Values
- Python – Generate Random Numbers Between two Specified Values Without Decimals
- Python Random Boolean With Probability
- Using Random Boolean Values in Python

There are many ways to generate Random Boolean values in **Python**. One of the simplest & most preferred way is to use the random module, This random module is included in the standard library. This module offers multiple functions that allows you to generate random numbers and values, including Boolean values.

To produce a Random Boolean value in Python, you can use the `random.choice()`

function from the `random`

module. This function takes a sequence as an argument and returns a randomly selected item, from that sequence. To generate a random Boolean value, you can pass a sequence containing the values `True`

and `False`

to the `random.choice()`

function.

**Example**

import random bool_value = random.choice([True, False]) print(bool_value)

In an above example, the `random.choice()`

function randomly selects either `True`

or `False`

from the sequence `[True, False]`

and assigns the result to the variable `bool_value`

. The `print()`

function is then used to display the value of `bool_value`

.

In **Python**, we can **produce random numbers between 0 and 1** using the `random`

module, which is included in the standard library. The `random`

module provides several functions that allow us to generate random numbers and values.

In order to **generate a random number between 0 and 1** in **Python**. We can use the `random.random()`

function, from the `random`

module. This function gives back a random decimal number between 0 and 1.

**Example**

```
import random
random_number = random.random()
print(random_number)
```

In an above example, the `random.random()`

function produces a random floating-point number between the 0 & 1 and assigns it to the variable, namely `random_number`

. Then the `print()`

function is used to display the value of `random_number`

.

To generate a random numbers between the two specified values, we can use the uniform() function from the random module. In an example below, we will generate a random number between 0 and 10. So here we will use the uniform() function, with arguments 0 and 10.

**Example**

```
import random
random_number = random.uniform(0, 10)
print(random_number)
```

In an above example, the `random.uniform()`

function generates a random numbers between 0 and 10 (including floating numbers). And assigns it to the variable `random_number`

. The `print()`

function is then used to display the value of `random_number`

.

In **Python**, we can **generate random numbers without decimals **using the `random`

module. The `random`

module provides several functions that allow you to generate random numbers and values.

To **generate a random integer between two specified values**, we can use the `randint()`

function from the `random`

module. This function takes two arguments: the lowest and highest values of the range. It returns a random integer between these two values, including both endpoints.

**Example**

```
import random
random_number = random.randint(0, 100)
print(random_number)
```

In an above example, the `random.randint()`

function generates a random integer between 0 and 100, including both endpoints, and assigns it to the variable `random_number`

. The `print()`

function is then used to display the value of `random_number`

.

In **Python**, we can generate a **random boolean** value with a specific probability, using the `random`

module. The `random`

module provides several functions that allow you to generate random numbers and values.

To generate a **random boolean** value with a specific probability, we can use the `random.random()`

function from the `random`

module, this will generate a random floating-point number between 0 and 1. You can then use this value to determine the boolean value with the desired probability.

**Example**

```
import random
probability = 0.7 # probability of generating True
random_number = random.random()
if random_number < probability:
random_boolean = True
else:
random_boolean = False
print(random_boolean)
```

In an above example, we first set the probability of generating `True`

to be 0.7 (or 70%). We then use the `random.random()`

function to generate a random floating-point number between 0 and 1 and assign it to the variable `random_number`

. We then use an `if`

statement to determine the boolean value with the desired probability. If the value of `random_number`

is less than the `probability`

value, we set the value of `random_boolean`

to `True`

, otherwise we set it to `False`

. Finally, we use the `print()`

function to display the value of `random_boolean`

.

Alternatively, we can use the `random.choices()`

function to randomly select from a list of values with specified probabilities. You can create a list of two values (True and False) with their respective probabilities and use the `random.choices()`

function to randomly select one value from the list.

**Here is an Example**

```
import random
probability = [0.7, 0.3] # probability of generating True and False
options = [True, False]
random_boolean = random.choices(options, probability)[0]
print(random_boolean)
```

In this example, we first create a list of two values `[True, False]`

and a corresponding list of probabilities `[0.7, 0.3]`

. We then use the `random.choices()`

function to randomly select one value from the list with the specified probabilities. Finally, we use the `print()`

function to display the value of `random_boolean`

.

We mostly use the **Random Boolean values** in Python or in any other programming language to simulate the behavior of switches, flags and other logical values. For example, we can use **Random Boolean values** to simulate the behavior of a traffic light or a switch that turns on and off randomly. We can also use **Random Boolean values** to generate random data for testing and validation purposes.

Here is how random Boolean values can be used in a program.

**Example**

```
import random
# Simulate the behavior of a traffic light
while True:
red_light = bool(random.randint(0, 1))
yellow_light = bool(random.randint(0, 1))
green_light = bool(random.randint(0, 1))
if red_light:
print("Stop")
elif yellow_light:
print("Slow down")
elif green_light:
print("Go")
```

In an above example, the `while`

loop generates **Random Boolean values** for the `red_light`

, `yellow_light`

and `green_light`

variables, to simulate the behavior of a traffic light. Depending on the values of these variables, the program. Copy the code and run it in your Python compiler and see how it works.

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Python Random Boolean