Course Outline

Python for Beginners

Course Content

Week 1: Introduction to Python

• Lesson 1: Introduction to Programming and Python

  • What is Python?

  • Setting up the Python environment (Anaconda, Jupyter Notebook, or other IDEs)

  • Writing your first Python program: "Hello, World!"

• Lesson 2: Basic Python Syntax and Data Types

  • Variables and Data Types (integers, floats, strings, booleans)

  • Basic Operations (arithmetic, comparison)

  • Comments and Code Structure

Week 2: Control Structures

• Lesson 3: Conditional Statements

  • if, elif, else statements

  • Nested conditions

  • Comparison operators and Boolean logic

• Lesson 4: Loops

  • for loops and while loops

  • Iterating through lists, ranges

  • Break and continue statements

Week 3: Data Structures

• Lesson 5: Lists and Tuples

  • Creating and modifying lists and tuples

  • Indexing, slicing, and common list operations (append, pop, etc.)

  • Iterating through lists

• Lesson 6: Dictionaries and Sets

  • Creating and accessing dictionaries

  • Dictionary methods

  • Introduction to sets and set operations

Week 4: Functions and Modules

• Lesson 7: Functions

  • Defining functions, parameters, and return values

  • Scope of variables

  • Default parameters and keyword arguments

• Lesson 8: Modules and Packages

  • Importing standard modules (math, random, etc.)

  • Using pip to install third-party packages

  • Creating custom modules

Week 5: Working with Strings and Files

• Lesson 9: Working with Strings

  • String methods (split, join, replace, etc.)

  • String formatting (f-strings, format(), concatenation)

• Lesson 10: File I/O

  • Reading from and writing to files

  • Working with text files (.txt) and CSV files

  • Basic error handling (try-except blocks)

Week 6: Introduction to Object-Oriented Programming (OOP)

• Lesson 11: Introduction to Classes and Objects

  • Creating classes and instances

  • Attributes and methods

  • The __init__ method

• Lesson 12: Inheritance and Encapsulation

  • Understanding inheritance and subclasses

  • Private and public attributes

  • Basic encapsulation concepts

Week 7: Error Handling and Debugging

• Lesson 13: Error Handling

  • Types of errors (syntax, runtime, logic)

  • Using try, except, finally statements

  • Custom error messages

• Lesson 14: Debugging and Problem Solving

  • Debugging techniques

  • Using a debugger (optional if IDE has built-in debugging tools)

  • Strategies for troubleshooting and solving common errors

Week 8: Final Project and Review

• Lesson 15: Capstone Project Planning

  • Choosing a project topic (examples: calculator, to-do list, simple game, etc.)

  • Outlining requirements and breaking down tasks

• Lesson 16: Project Implementation and Presentation

  • Implementing and testing the project

  • Presenting or sharing the project with the class

  • Review of key concepts and Q&A session

This course content provides a strong foundation for beginners, focusing on practical application and essential Python concepts.