Python Full Course Syllabus

• Module 1: Introduction to Python
  • What is Python?
  • Features of Python
  • Applications (Web, AI, ML, Automation, etc.)
  • Installation (Python, IDEs: VS Code / PyCharm)
  • Writing and running your first Python program
  • How Python works: Interpreter, Script Mode vs Interactive Mode
  • Learning Outcomes
    • Understand why Python is widely used
    • Able to run Python programs
• Module 2: Python Basics
  • Keywords and Identifiers
  • Variables and Data types
  • int, float, bool, str
  • Type casting
  • Taking user input
  • Comments
  • Basic Operators (Arithmetic, Logical, Comparison, Assignment, Bitwise)
  • Python indentation rules
  • Practice
    • Simple calculator
    • Convert temperature, currency, etc.
• Module 3: Strings in Python
  • Creating strings
  • Indexing and slicing
  • String methods (upper(), split(), replace(), etc.)
  • String formatting (f-strings, .format)
  • Escape characters
  • Practice
    • Reverse a string
    • Count vowels/consonants
    • Word frequency in a sentence
• Module 4: Control Flow
  • if, elif, else
  • Looping: for, while
  • Loop control statements (break, continue, pass)
  • Nested loops
  • Practice
    • Print patterns
    • Check prime number
    • Multiplication table
• Module 5: Data Structures in Python
  • Lists
    • Creating, accessing, slicing
    • List methods (append, extend, insert, remove)
    • List comprehension
  • Tuples (Immutable nature)
    • Tuple operations
  • Sets (Unique values)
    • Set operations (union, intersection, difference)
  • Dictionaries (Key-value pairs)
    • Adding, removing, updating items
    • Dictionary methods
• Module 6: Functions
  • Defining and calling functions
  • Arguments: positional, keyword, default, *args, **kwargs
  • Return values
  • Lambda functions
  • Scope: local vs global
  • Recursion
  • Practice
    • Fibonacci series using recursion
    • Calculator using functions
• Module 7: Modules and Packages
  • Importing modules
  • Built-in modules (math, random, datetime)
  • Creating custom modules
  • Intro to PyPI
  • Practice – Random password generator
• Module 8: File Handling
  • Opening and reading files
  • Writing to files
  • Working with text & CSV files
  • File modes (r, w, a, rb, wb)
  • Exception handling with files
  • Practice
    • Write logs to a file
    • Read & analyze CSV file
• Module 9: Exception Handling
  • Errors vs Exceptions
  • try, except, else, finally
  • Raising exceptions
  • Custom exceptions
  • Practice – Robust input validation
• Module 10: Object-Oriented Programming
  • Classes and objects
  • Constructor (__init__)
  • Methods
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Magic (dunder) methods
  • Practice
    • Student management system
    • Bank account simulation
• Module 11: Python Libraries for Beginners
  • NumPy – arrays & operations
  • Pandas – dataframes, reading files, analysis
  • Matplotlib – basic plotting
• Module 12: Advanced Topics
  • Virtual environments
  • Working with APIs (requests)
  • JSON handling
  • Regular Expressions (Regex)
  • Multithreading basics
  • Basic SQL connectivity (MySQL / SQLite)
• Module 13: Mini Projects
  • To-Do List Application
  • Student Marks Analyzer
  • Weather API App
  • Quiz Game
  • Chatbot (Rule-based)
  • Billing System