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Post: Python Basic Operators

Lesson Plan: Python Basic Operators

Overview

This lesson introduces Python’s basic operators, focusing on arithmetic, string, and list operations. You’ll explore how Python adheres to the order of operations, use advanced operators like modulo and exponentiation, and learn how to manipulate strings and lists using operators.

Learning Objectives

  1. Understand Python’s arithmetic operators.
  2. Apply operators to strings and lists.
  3. Demonstrate Python’s handling of operator precedence.
  4. Solve real-world problems using operators.

Lesson Content

1. Arithmetic Operators

Python supports standard arithmetic operators: addition (+), subtraction (-), multiplication (*), and division (/). Python also respects the order of operations (PEMDAS: Parentheses, Exponents, Multiplication/Division, Addition/Subtraction).

Example:

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Prediction: Does Python follow the order of operations? (Yes, it does!)


2. Modulo Operator

The modulo operator (%) returns the remainder of a division.

Example:

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Result: The remainder when 11 is divided by 3 is 2.


3. Exponentiation Operator

Use double asterisks (**) for exponentiation.

Example:

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4. String Operators

Python allows operators to work with strings for concatenation and repetition.

Example:

  • Concatenation: Combine strings using +:
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Repetition: Repeat strings using *:

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5. List Operators

Lists can also use operators for concatenation and repetition.

Example:

  • Concatenation:
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Repetition:

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Assignment

Create two lists, x_list and y_list, each containing 10 instances of variables x and y, respectively. Then create big_list by concatenating x_list and y_list.

Requirements

  1. Each list (x_list, y_list) must contain exactly 10 elements.
  2. big_list must contain 20 elements: 10 x and 10 y.

Code Template:

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Answer Key

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Overview of Python Basic Operators

This tutorial introduced Python’s basic operators and demonstrated how they work with numbers, strings, and lists. Key concepts included:

  1. Arithmetic Operators: Addition (+), subtraction (-), multiplication (*), and division (/), following Python’s strict adherence to the order of operations (PEMDAS).
  2. Modulo Operator (%): Extracts the remainder from division operations.
  3. Exponentiation (**): A powerful operator for mathematical calculations like squaring and cubing.
  4. String Operators:
    • Concatenation with + to combine strings.
    • Repetition with * to repeat strings.
  5. List Operators:
    • Concatenation of lists with +.
    • Repetition of lists with *.

Through practical examples and an engaging assignment, you learned how to apply these operators in real-world scenarios.


Wrap-Up

Python’s operators are versatile tools that extend beyond arithmetic, enabling intuitive manipulation of strings and lists. These fundamental building blocks are crucial for programming and serve as the foundation for more advanced topics like operator overloading, matrix operations, and custom objects. With hands-on practice, you’ll find yourself seamlessly integrating these operators into your Python projects.


Further Reading/Practice:

  • Experiment with mixed operations and parentheses to explore operator precedence.
  • Try applying these operators with more complex data structures, like dictionaries and tuples.

About the Author: Bernard Aybout (Virii8)

I am a dedicated technology enthusiast with over 45 years of life experience, passionate about computers, AI, emerging technologies, and their real-world impact. As the founder of my personal blog, MiltonMarketing.com, I explore how AI, health tech, engineering, finance, and other advanced fields leverage innovation—not as a replacement for human expertise, but as a tool to enhance it. My focus is on bridging the gap between cutting-edge technology and practical applications, ensuring ethical, responsible, and transformative use across industries. MiltonMarketing.com is more than just a tech blog—it's a growing platform for expert insights. We welcome qualified writers and industry professionals from IT, AI, healthcare, engineering, HVAC, automotive, finance, and beyond to contribute their knowledge. If you have expertise to share in how AI and technology shape industries while complementing human skills, join us in driving meaningful conversations about the future of innovation. 🚀