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

**Python** provides several ways to generate Random Boolean values. One of the easiest ways is to use the `random`

module, which is included in the standard library. This module provides various 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 to 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`

.

These methods can be useful in a variety of applications, such as simulation, testing, and data generation. By generating **random boolean** values with specific probabilities, you can simulate the behavior of a wide range of systems and processes, and generate random data for testing and validation purposes.

**Random Boolean values** are often used in programming to simulate the behavior of switches, flags, and other logical values. For example, you can use **Random Boolean values** to simulate the behavior of a traffic light or a switch that turns on and off randomly. You can also use **Random Boolean values** to generate random data for testing and validation purposes.

Here’s 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