PYTHON — Add Logic to Your Code Using Python

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When working with Python, you can add logic to your code using conditional logic and control flow. In Python, conditional logic allows you to check if something is true or false. You can reduce values into True or False by comparing and combining them with other statements.

In this lesson, we’ll cover a few operators and how they fit together: Boolean comparators, conditional statements, logical operators, and operator precedence.

Boolean Comparators

Boolean comparators are operators used to compare values. Here are some common Boolean comparators:

• The greater than operator (>) asks whether the value on the left is greater than the value on the right.
• The less than operator (<) asks whether the value on the left is less than the value on the right.
• The greater than or equal to operator (>=) asks whether the value on the left is greater than or equal to the value on the right.
• The less than or equal to operator (<=) asks whether the value on the left is less than or equal to the value on the right.
• The not equal to operator (!=) asks whether the values are not equal.
• The equal to operator (==) asks whether the values on both sides are equal to each other.

# Examples of Boolean comparators
print(10 > 5)  # Output: True
print(1 < 2)   # Output: True
print(10 >= 9)  # Output: True
print(5 <= 5)  # Output: True
print(1 != 0)  # Output: True
print(100 == 100)  # Output: True

Logical Operators

In Python, there are three logical operators: and, or, and not.

• The and operator returns True if both sides are true.
• The or operator returns True if at least one side is true.
• The not operator negates the value of an expression.

# Examples of logical operators
print(1 > 2 and 5 > 3)  # Output: False
print("Python" == "Pythonic" or 10 != 9)  # Output: True
print(not "Python" == "Pythonic" or 10 != 9)  # Output: True

Operator Precedence

In Python, when chaining comparators (e.g., 10 < 50 > 20), an implicit and operator is inserted between them. So, 10 < 50 > 20 is actually evaluated as 10 < 50 and 50 > 20.

# Chained comparators
print(10 < 50 > 20)  # Output: True

String Comparisons

When dealing with strings, Python uses alphabetical order for comparisons. For example, "a" < "z" is true because "a" comes before "z". Python also sorts strings lexicographically.

# String comparisons
print("a" < "z")  # Output: True
print("aaa" > "aaz")  # Output: False

Understanding these concepts will allow you to add logic to your Python code. By using conditional logic and control flow, you can effectively manage and manipulate data based on specified conditions.

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