Let's explore another valuable Python operation that proves beneficial when handling string data type. It can be advantageous to extract symbols at **specified intervals**. Ensure you review the example, as verbal explanations may not be the most effective method for grasping programming concepts (as exemplified by a famous quote from Albert Einstein in the example).



string = "Life is like riding a bicycle. To keep your balance, you must keep moving"
sliced_string = string[1:11:4]
print(sliced_string)

I want to elucidate the syntax `string[starting_index : ending_index : step]` to you. In this context, the resultant string has been generated from the first to the eleventh character, with a step size of `4`, signifying that every **fourth symbol within this range has been included**.

import unittest
import sys
from io import StringIO


class TestUserCode(unittest.TestCase):
    def _test_variable_equals_string(self, var_name, expected):
        import user_code
        if not hasattr(user_code, var_name):
            return (False, f"Expected '{var_name}' variable to be defined.")
        var = getattr(user_code, var_name)
        if var != expected:
            return (False, f"Expected '{var_name}' to equal '{expected}', but got '{var}'.")
        return (True, f'The variable {var_name} equals "{expected}"')

    def test_sliced_string(self):
        passed, result_text = self._test_variable_equals_string(
            'sliced_string', 'h i ')
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

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.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

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

Data Types in Python

Slicing Task

Solution

Slicing Task

Solution