Python 2

Day 2: Deeper Dive into Python

Session Outline

1. Recap of Day 1

2. Review of Data Types, Arithmetic and Comparison Operators

3. Introduction to Functions

4. Writing, Defining, and Calling Functions

5. Exploring Built-in Functions

6. Nested Expressions and Examples

7. Understanding While Loops

8. While Loop Exercises

9. Python Practice with Example Problems

Detailed Agenda

1. Recap of Day 1:

   • Briefly review the key topics covered on Day 1, including data types, arithmetic and comparison operators, variables, conditionals, and basic Python syntax.

   • Address any questions or concerns from the previous session to ensure everyone is up to speed.

2. Review of Data Types, Arithmetic, and Comparison Operators:

   • Recap the various data types covered, such as integers, strings, booleans, and lists.

   • Revisit arithmetic operators, including regular division (/), integer division (//), and modulus (%).

   • Review comparison operators, such as less than (<), less than or equal to (<=), and not equal to (!=).

   • Reinforce the difference between the assignment operator (=) and the equality operator (==).

3. Introduction to Functions:

   • Explain the concept of functions, their purpose, and when to use them in programming.

   • Discuss the idea of inputs and outputs in functions, emphasizing how functions can manipulate data.

   • Demonstrate how to write, define, and call a function in Python.

   • Encourage students to think about how functions can be used to organize code and make it more reusable.

4. Writing, Defining, and Calling Functions:

   • Provide step-by-step guidance on writing, defining, and calling functions in Python.

   • Illustrate the syntax and structure of function definitions, including parameter declarations.

   • Guide students through practical examples of creating and using functions to solve specific problems.

5. Exploring Built-in Functions:

   • Introduce built-in functions available in Python to perform common tasks.

   • Present examples of built-in functions and explain their usage and parameters.

   • Encourage students to explore the Python documentation and discover additional built-in functions.

6. Nested Expressions and Examples:

   • Illustrate nested expressions by chaining multiple built-in functions together.

   • Provide examples of increasingly complex nested expressions and challenge students to solve them.

   • Foster problem-solving skills by encouraging students to break down nested expressions into smaller steps.

7. Understanding While Loops:

   • Introduce the concept of while loops as a control flow structure.

   • Provide a visual flowchart of a while loop and explain its components.

   • Present example code and demonstrate how while loops work, including the condition, body, and loop termination.

8. While Loop Exercises:

   • Engage students in while loop exercises to reinforce their understanding.

   • Examples may include counting numbers, determining the number of digits in a number, or any other suitable exercise that utilizes while loops.

9. Python Practice with Example Problems:

   • Provide example problems that require the use of concepts covered during the session, such as writing a countdown program or generating a triangle of stars.

   • Encourage students to apply their knowledge and problem-solving skills to tackle the example problems.