Introduction to Python: Building Foundational Skills through Projects

Lesson 1: Daily Tracker

Learn Python basics using print() and input() to create a daily tracker.

Lesson 2: Space Trip

Explore data types and arithmetic operators to build a space trip budgeting tool.

Lesson 3: Secret Code

Use conditionals to create an adventure game with user inputs and branching paths.

Lesson 4: Loopy Loop

Practice loops by generating patterns and a multiplication table with range() and modulus.

Lesson 5: Among Us

Draw an "Among Us" character using the Turtle library to learn basic graphics.

Lesson 6: Square Scribbles

Create geometric patterns using nested loops in the Turtle library.

Lesson 7: Fizz Buzz

Build a program identifying numbers divisible by 3, 5, or both, using loops.

Lesson 8: Palindrome Words

Check if strings are palindromes using slicing and indexing techniques.

Lesson 9: Character Counter

Develop a text analysis tool for counting characters, words, and sentences.

Lesson 10: Student Management System

Manage student data with lists and nested lists for CRUD operations.

Lesson 11: Expense Manager

Track expenses using nested lists and tuples, enhancing organizational skills.

Lesson 12: Phone Directory

Use dictionaries to build a phone directory with key-value pair operations.

Lesson 13: Math Wiz

Design a math quiz using functions and return statements.

Lesson 14: Function Playground

Dive into lambdas and tools like filter(), map(), and sorted() for data processing.

Lesson 15: Food Order Tracker

Create a food order tracker using functions and nested dictionaries for CRUD tasks.

Upon completing this course, students will have developed multiple Python projects, including a text analyzer, expense manager, phone directory, and food order tracker. These projects demonstrate their understanding of fundamental programming concepts, data structures, and function-based coding.

• Input/Output Handling and Basic Operations: Learn to use print(), input(), data types, and operators for interactive programs.
• Control Flow with Conditionals and Loops: Develop decision-making and repetition skills using if-else statements, for loops, and while loops.
• String and Text Manipulation: Explore string slicing, indexing, and methods for analyzing and transforming text.
• Data Structures (Lists, Tuples, and Dictionaries): Organize data efficiently using nested lists, tuples, and dictionaries.
• Functions and Lambda Expressions: Define functions, use lambdas, and apply higher-order functions like filter(), map(), and sorted().