You might wonder about using **quotes within quotes**, like in the example below. This situation can cause an error because Python interprets `"Let"` as a string, but then it encounters a problem. For Python, the rest of the string looks like strange symbols in the code.

Understanding errors is valuable, and knowing how to avoid them is equally important. That's why there are multiple solutions for dealing with "quotes within quotes":

### 1. Put single quotes inside double quotes, or vice versa;

string1 = "Let's eat!"
print(string1)
#or
string2 = 'Let"s eat!'
print(string2)

### 2. Put the string into triple quotes.

As observed, this approach is consistently employed for lengthy texts that cannot be accommodated on a single line for the sake of readability. In this specific example, it is also appropriate because within the triple-quoted `"""string"""`, we have the flexibility to include a variety of characters, including both single (`'`) and double (`"`) quotation marks simultaneously.

string = """Let's eat! or Let"s eat!"""
print(string)

import unittest
import sys
from io import StringIO

class TestUserCode(unittest.TestCase):
    def test_string_correct_value(self):
        expected = "John said, 'I am learning data types in Python now'"
        self._testMethodName = f'string equals "{expected}"'
        import user_code
        self.assertTrue(hasattr(user_code, 'string'), "Expected 'string' to be defined.")
        self.assertEqual(user_code.string, expected, f"Expected 'string' to equal '{{expected}}', but got '{{user_code.string}}'.")

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.

Quotation Marks

1. Put single quotes inside double quotes, or vice versa;

2. Put the string into triple quotes.

Solution