Python Day 63: Comparison Operators - Learn How to Compare Values and Control Logic
Welcome to Day 63 of The Complete Python Bootcamp.
In this session, you will explore comparison operators in Python, a key concept that allows your program to compare values and make decisions.
Comparison operators such as equal to, not equal to, greater than, less than, greater than or equal to and less than or equal to are used to evaluate conditions. These evaluations return boolean values, which then control how your program behaves.
Today, you will learn how these operators work, how to use them in expressions and how they form the foundation of conditional logic in Python.
By the end of this lesson, you will be able to compare values confidently and use those comparisons to guide the flow of your code.
✅ What You Will Learn in Day 63
• What comparison operators are in Python
• How to use equal to and not equal to
• How to compare values using greater than and less than
• How to use greater than or equal to and less than or equal to
• How comparisons return boolean values
• Practical examples of evaluating conditions
This session builds directly on your understanding of booleans and control flow.
🌍 Why Comparison Operators Matter
Understanding comparison operators helps you:
• Make decisions in your programs
• Control execution based on conditions
• Build logical and dynamic applications
• Evaluate expressions accurately
• Write more powerful and flexible code
Comparison operators are essential for if statements, loops and decision making logic.
🎯 Who This Lesson Is For
• Beginners learning Python step by step
• Learners moving deeper into control flow and logic
• Students preparing for development or data roles
• Anyone wanting to write smarter and more dynamic code
• Viewers who enjoy clear explanations with practical examples
This lesson prepares you for building conditional statements and logical expressions.
🔥 Start Making Decisions in Your Code
Once you understand comparison operators, your programs can react, decide and adapt based on conditions.
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🔎 Keywords
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