Overall Course Objective

By the end of this course, you will be able to understand and apply Python programming concepts to solve real-world problems. You will gain hands-on experience in writing Python scripts and developing projects using the language’s fundamental building blocks.

Module Learning Objectives:

  • Understand the purpose and applications of Python.
  • Set up Python on your system.
  • Write your first Python script.

Lessons:

  1. What is Python?

    • Overview of Python’s capabilities and real-world uses.
    • How Python compares with other programming languages.
  2. Installing Python and IDE Setup

    • Steps to install Python on different operating systems (Windows, macOS, Linux).
    • Setting up an Integrated Development Environment (IDE) such as PyCharm or VS Code.
  3. Writing Your First Python Script

    • Writing a simple “Hello, World!” program.

Real-World Applications:

  • Use Python to automate repetitive tasks.
  • Write simple scripts to manipulate data files.

Discussion Question:

Why do you think Python has gained popularity for applications such as machine learning and data science?

Assessment/Quiz:

  1. What is Python, and what makes it unique?
  2. Write and run a Python script that prints “Hello, Python!”.

Activity:

  • Install Python and an IDE, then write your first Python script. Share a screenshot of the output in the discussion forum.
  • Module Learning Objectives:

    • Learn Python syntax and rules.
    • Understand Python’s built-in data types.
    • Write Python programs using variables, strings, integers, floats, and booleans.

    Lessons:

    1. Basic Python Syntax

      • Understanding indentation and line breaks.
      • Python keywords and naming conventions.
    2. Variables and Data Types

      • Exploring data types: strings, integers, floats, booleans.
      • Declaring and manipulating variables.
    3. Type Conversion and User Input

      • How to convert between data types.
      • Accepting input from users.

    Real-World Applications:

    • Use variables to store user data and preferences in a program.
    • Convert data formats for compatibility between different systems.

    Discussion Question:

    How do you think type conversion and user input could be useful in creating interactive programs?

    Assessment/Quiz:

    1. What are the key rules for Python syntax?
    2. Write a Python program that takes input from the user and prints it in uppercase letters.

    Activity:

    • Create a Python program that takes user input, stores it in a variable, and performs a simple calculation. Share the code and output in the discussion forum.

Module Learning Objectives:

  • Understand and apply conditional statements in Python.
  • Utilize loops to iterate through data.
  • Write programs that make decisions based on user input.

Lessons:

  1. Conditional Statements: if, elif, else

    • Creating decision-making processes in your code.
  2. Loops: for and while

    • Using loops to repeat operations efficiently.
  3. Nested Conditionals and Loops

    • Writing more complex logic by combining conditionals and loops.

Real-World Applications:

  • Use conditionals to validate user input in a form.
  • Employ loops to iterate through large datasets for analysis.

Discussion Question:

How do you think loops can help in automating repetitive tasks in a program?

Assessment/Quiz:

  1. Explain the difference between “for” and “while” loops in Python.
  2. Write a Python program that prints the numbers 1 to 10 using a loop.

Activity:

  • Write a Python program that asks the user for a number and then prints all even numbers from 1 to that number using a loop.

Module Learning Objectives:

  • Define and call functions in Python.
  • Pass arguments and return values.
  • Understand the importance of modular programming.

Lessons:

  1. Defining Functions

    • How to create and use functions to avoid code duplication.
  2. Parameters and Return Values

    • Passing information to functions and retrieving results.
  3. Scope and Lifetime of Variables

    • Understanding local and global variables.

Real-World Applications:

  • Use functions to organize large programs into manageable sections.
  • Create reusable code for common operations like data processing.

Discussion Question:

Why is it important to use functions in programming?

Assessment/Quiz:

  1. What is the difference between a function argument and a return value?
  2. Write a Python function that takes two numbers as arguments and returns their sum.

Activity:

  • Write a Python program that calculates the factorial of a number using a function. Share the code and output in the forum.

Module Learning Objectives:

  • Understand the difference between lists, tuples, and dictionaries.
  • Perform operations on collections of data.
  • Write programs that store and manipulate data using these structures.

Lessons:

  1. Lists and Tuples

    • Creating and manipulating lists and tuples.
    • Understanding mutability.
  2. Dictionaries

    • Using key-value pairs to store data in dictionaries.
  3. Common Operations with Data Collections

    • Adding, removing, and modifying elements in lists, tuples, and dictionaries.

Real-World Applications:

  • Use dictionaries to store and retrieve user information in an application.
  • Manipulate lists to handle batches of data in a data processing system.

Discussion Question:

How could lists and dictionaries be useful in developing a contact management system?

Assessment/Quiz:

  1. What is the difference between a list and a tuple?
  2. Write a Python program that creates a dictionary to store student names and grades.

Activity:

  • Create a Python program that asks for a list of favorite movies and stores them in a list. Print the list and allow the user to add or remove movies.

Module Learning Objectives:

  • Identify and handle errors in Python programs.
  • Use debugging techniques to troubleshoot your code.
  • Write robust Python programs with exception handling.

Lessons:

  1. Types of Errors in Python

    • Syntax errors, runtime errors, and logical errors.
  2. Exception Handling: try, except, finally

    • How to catch and handle exceptions in your code.
  3. Debugging Techniques

    • Using print statements, breakpoints, and debugging tools in your IDE.

Real-World Applications:

  • Handle errors in data input to prevent crashes in your applications.
  • Debug large Python projects to ensure they run smoothly.

Discussion Question:

What are some common debugging techniques that you can use to find and fix errors in your Python code?

Assessment/Quiz:

  1. What is the purpose of a try-except block in Python?
  2. Write a Python program that asks the user for a number and handles the error if the user enters non-numeric data.

Activity:

  • Create a Python program that reads a file and handles errors if the file does not exist. Share the code and output in the forum.
Python programming fundamentals, Python