• Day 1: Understanding the Basics & Setup (Core Concepts & Environment)
  • Focus: Grasp what programs are, how they execute, and the role of programming languages.
  • Action: Install Python, set up a text editor (like VS Code), and run your very first "Hello, World!" program. Ensure your environment is ready.

• Day 2: Variables and Basic Data Types
  • Focus: Learn to store information.
  • Action: Practice declaring variables, assigning different data types (integers, floats, strings, booleans). Understand type() function.
• Day 3: Operators and Comments
  • Focus: Perform operations on data and write clear code.
  • Action: Practice arithmetic, comparison, logical, and assignment operators. Get into the habit of writing meaningful comments.

• Day 4: Conditional Statements (if, elif, else)

• • Focus: Control program flow based on conditions.

Action: Write programs that make decisions. Practice various if/else scenarios.

• Day 5: Loops (for and while)

• • • Focus: Automate repetitive tasks.
    • Action: Use 

for loops to iterate over sequences and while loops for condition-based repetition. Understand break and continue.

• Day 6: Python Lists

• • • • Focus: Learn dynamic arrays.
      • Action: Create, access, modify, add, and remove elements from lists , sort, reverse, append, insert, pop, remove, list comprehension, and slicing.

• Day 7: Tuples

• • • • • Focus: Immutable sequences and unique collections.
        • Action: Create Tuples , Accessing Tuple Elements , Tuple Immutability , Tuple Operations ,Tuple Methods ,Tuple Unpacking ,Tuples vs. Lists , Nested Tuples

• Day 8: Python Dictionaries and sets
• • • • • • Focus: Efficient key-value pairs.
          • Action: Create, access, add, modify, and delete elements in dictionaries. Learn common dictionary and sets methods.

• Day 9: Functions in Python (Part 1 - Basics)
  • Focus: Write reusable code.
  • Action: Define simple functions, understand arguments, and return values.
• Day 10: Functions in Python (Part 2 - Scope & Advanced Args)
  • Focus: Deeper understanding of functions.
  • Action: Explore variable scope (local vs. global). Introduce default arguments, *args, and **kwargs briefly.
• Day 11: Object-Oriented Programming (OOP) - Classes & Objects
  • Focus: Step into OOP fundamentals.
  • Action: Define your first class, create objects, and understand attributes and methods.
• Day 12: OOP - Inheritance & Polymorphism
  • Focus: Core OOP principles for code reusability and flexibility.
  • Action: Create child classes that inherit from parent classes. See how polymorphism works with method overriding.
• Day 13: OOP - Encapsulation & Best Practices
  • Focus: Protecting data and structuring classes well.
  • Action: Understand public/private/protected conventions. Brief discussion on __init__, __str__ methods.
• Day 14: Python Modules and Packages
  • Focus: Organize larger projects and leverage external code.
  • Action: Create a simple module, import functions from it, and understand the concept of packages (e.g., import math, import random)

• Day 15: Python Error Handling (try-except)
  • Focus: Make your programs resilient.
  • Action: Implement try, except, else, and finally blocks to gracefully manage common errors.
• Day 16: Python File I/O
  • Focus: Interact with files.
  • Action: Learn to open, read from, and write to text files. Understand with open(...) for safe file handling.
• Day 17: Iterators and Generators
  • Focus: Efficient memory management for sequences.
  • Action: Understand the difference between iterables and iterators. Write a simple generator function using yield. (This is an advanced topic, aim for conceptual understanding and basic syntax).
• Day 18: Python Decorators
  • Focus: Dynamically modify functions.
  • Action: Understand the concept of "functions as first-class citizens." Implement a very simple decorator to modify a function's behavior. (This is challenging for 1 hour; focus on the "why" and basic syntax).

• Day 19 , 20: Final Project & Review
  • Focus: Consolidate your learning by building something practical.
  • Action: Choose a small project idea (e.g., a simple to-do list application, a basic calculator, a file organizer). Start outlining and implementing using the concepts learned. Don't expect to finish in 1 hour, but plan the structure and write some initial code. Use the rest of the hour to review challenging topics from the course.