Python Curriculum Plan

Weekly Breakdown

• Teaching Days: Monday to Friday (5 days each week)

• Holidays: Saturday and Sunday (every week)

• QA Session: Every 14th day (every other weekend)

• Time: 8:00 PM to 9:30 PM

Week 1

Day	Topic
Day 1 (Monday)	Introduction to Python, Ecosystem, Installing Python
Day 2 (Tuesday)	Setting Up IDEs (Google Colab, Jupyter, VSCode, PyCharm)
Day 3 (Wednesday)	Writing Your First Code + Python Syntax
Day 4 (Thursday)	Data Types, Variables, Type Casting
Day 5 (Friday)	Input/Output, String Formatting, Escape Sequences

Saturday/Sunday (Holidays)

Week 2

Day	Topic
Day 6 (Monday)	Operators, Expressions, Type Checking
Day 7 (Tuesday)	Control Flow: if, else, elif
Day 8 (Wednesday)	Loops (for, while), Loop Control (break, continue, pass)
Day 9 (Thursday)	Special Loops, for/else, List Comprehension
Day 10 (Friday)	QA Session 1: Review of Concepts from Week 1 & Week 2

Saturday/Sunday (Holidays)

Week 3

Day	Topic
Day 11 (Monday)	Functions (Basics, def, return, arguments)
Day 12 (Tuesday)	Functions: *args, **kwargs, Lambda, Scope
Day 13 (Wednesday)	Lists – Methods, Indexing, Looping, List Comprehension
Day 14 (Thursday)	Tuples, Sets, Key Differences, Set Operations
Day 15 (Friday)	QA Session 2: Review of Functions, Data Structures, and Comprehensions

Saturday/Sunday (Holidays)

Week 4

Day	Topic
Day 16 (Monday)	Dictionaries – Nested Dictionaries, Methods, Comprehensions
Day 17 (Tuesday)	File Handling (Text, CSV, JSON)
Day 18 (Wednesday)	OOP Basics: Classes, Objects, __init__, self
Day 19 (Thursday)	OOP Advanced: Inheritance, Polymorphism, Encapsulation
Day 20 (Friday)	QA Session 3: Review of OOP and File Handling Concepts

Saturday/Sunday (Holidays)

Week 5

Day	Topic
Day 21 (Monday)	Error Handling & Debugging
Day 22 (Tuesday)	Iterators, Generators, Closures
Day 23 (Wednesday)	Standard Libraries: math, os, random, datetime
Day 24 (Thursday)	Pandas + DataFrames, Data Cleaning
Day 25 (Friday)	QA Session 4: Review of Advanced Topics and Libraries

Saturday/Sunday (Holidays)

Final Day (Project Submission)

Day	Topic
Final Day	Final Project Submission & Wrap-up (Discuss and showcase final project)

Assignments Plan

Week 1: Introduction to Python & Basic Syntax

Assignment 1:
Due: Friday (End of Week 1)

• Objective: Write a Python program to demonstrate basic syntax, including variables, data types, and type casting.

• Instructions:

  1. Create a program that asks the user to input their name and age.

  2. Print a greeting message using string formatting (e.g., “Hello [name], you are [age] years old”).

  3. Implement type casting where needed.

Submission Requirements:

• Submit the Python code via a file or a notebook (.py/.ipynb).

Week 2: Operators, Control Flow, and Loops

Assignment 2:
Due: Friday (End of Week 2)

• Objective: Write a Python program that demonstrates the use of operators, conditionals, and loops.

• Instructions:

  1. Create a program that calculates the factorial of a number using both a for loop and a while loop.

  2. The program should ask the user to input a number and output the factorial.

  3. Add conditional checks to handle edge cases like negative numbers.

Submission Requirements:

• Submit a Python script (.py) or Jupyter notebook (.ipynb) demonstrating the required operations.

Week 3: Functions and Data Structures

Assignment 3:
Due: Friday (End of Week 3)

• Objective: Create a Python program that utilizes functions and data structures (lists, sets, tuples).

• Instructions:

  1. Write a function that accepts a list of numbers and returns the sum of even numbers in the list.

  2. Write another function that accepts a set of numbers and removes duplicates from a list of numbers (simulate set behavior).

  3. Create and demonstrate the use of at least one lambda function.

Submission Requirements:

• Submit the Python code in a .py file or Jupyter notebook (.ipynb) format.

Week 4: Object-Oriented Programming (OOP) and File Handling

Assignment 4:
Due: Friday (End of Week 4)

• Objective: Implement a class-based program and file handling functionality.

• Instructions:

  1. Create a class Book that has attributes like title, author, and year of publication.

  2. Implement methods to display the details of a book, update the year, and compare two books based on the year.

  3. Create a file handling function that saves and reads a list of books (in CSV format).

  4. Implement inheritance by creating a subclass Ebook that adds an additional attribute, file_format.

Submission Requirements:

• Submit the Python code in a .py file or Jupyter notebook (.ipynb) format.

• Provide a text file (.txt or .csv) that contains the saved books.

Week 5: Error Handling, Debugging, and Libraries

Assignment 5:
Due: Friday (End of Week 5)

• Objective: Work with error handling, debugging, and Python libraries (e.g., math, os, random, datetime).

• Instructions:

  1. Write a program that simulates a basic number guessing game.

  2. Include error handling for user input to ensure valid entries (e.g., catch invalid number inputs).

  3. Use the random library to generate a random number and datetime to log timestamps for each guess.

  4. Implement debugging statements to show the state of the game (e.g., print variables and logic flow).

Submission Requirements:

• Submit the Python code in a .py file or Jupyter notebook (.ipynb) format.

Final Project (Week 6)

Final Project Assignment:
Due: Final Day (Week 6)

• Objective: Develop a comprehensive Python project that incorporates concepts learned throughout the course.

• Instructions:

  1. Choose a real-world problem or application that interests you (e.g., a simple web scraper, data analysis project using Pandas, or a basic inventory management system).

  2. The project should use at least:

     • Functions

     • Data structures (e.g., lists, dictionaries)

     • File handling (save and read from files)

     • OOP (classes, objects, inheritance)

     • Error handling and debugging

  3. Submit your project along with a short write-up describing:

     • The problem you are solving

     • How you implemented the solution

     • Any challenges faced during development

Submission Requirements:

• Submit the project code as a python module through GitHub repository link.

• Include a brief documentation or a readme file explaining how to run the project and what it does.