Given that we have already acquired an understanding of the `int()` operation, it is unnecessary to reiterate the same information. The `float()` function serves a similar purpose, with the distinction of converting data into the floating-point data type.Look at this simple example:😁

variable1 = 56
variable2 = "98.7"
variable3 = "5e4"

print(float(variable1))
print(float(variable2))
print(float(variable3))

It seems to me that one fascinating feature of the `float()` function should be noted. Not only can we represent regular numbers, but we can also represent concepts like **infinity** and **Not a Number (NaN)**.

import unittest

class TestUserCode(unittest.TestCase):
    def test_true(self):
        self._testMethodName = "pass"
        self.assertTrue(True, "pass")

if __name__ == '__main__':
    unittest.main()


test_main.py

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

Mastering boolean data types and logical operations in Python. You'll learn how to work with True and False, apply logical operators like and, or, and not, and understand how operator precedence works in complex expressions.

Strings are an essential part of Python programming, allowing you to work with text data. In this section, you'll learn how to manipulate strings, extract characters, slice words, and search for specific phrases.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

Converting: float()

Solution

Converting: float()

Solution