Complete Python Handwritten Notes
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Limitless Learning
Complete Python  Handwritten Notes

Chapter 1: Introduction to Python

  • What is Python?
  • Features of Python
  • Applications Of Python
  • Python Installation
  • First Python Program

Chapter 2: Modules, Comment & Pip

  • Modules in Python
  • Three Main Types of Modules
  • Comments in Python
  • Types of Comments
  • What is a pip?

Chapter 3: Variables, Data Types Keywords & Operators

  • Variables in Python
  • Identifier in Python
  • Data Types in Python
  • Keywords in Python
  • Operators in Python

Chapter 4: List, Dictionary, Set, Tuples & Type Conversion

  • Lists in Python
  • Dictionary in Python
  • Set in Python
  • Tuple in Python

Chapter 5: Flow Control

  • Python Indentation
  • If-Statement
  • if-else Statement
  • elif Statement
  • Nested if Statement

Chapter 6: Loops

  • Pass Statement in Python
  • While Loop in Python
  • For Loop in Python
  • For Loop Using range() Function
  • Nested For Loop

Chapter 7: Strings

  • Python String
  • Creating String in Python
  • Strings indexing and splitting
  • Deleting the String
  • String Operations
  • String Formatting

Chapter 8: Functions

  • Function in Python
  • Creating a Function
  • Function Calling
  • Return Statement
  • Arguments in Function
  • Scope Of Variable

Chapter 9: File Handling

  • Introduction to file input/output
  • Opening and Closing Files
  • Reading and Writing Text Files
  • Working with Binary Files
  • Exception Handling in File Operations

Chapter 10: Object Oriented Programming

  • Introduction to OOP in Python
  • Classes and Objects
  • Constructor and Destructors
  • Inheritance & Polymorphism
  • Encapsulation and Data Hiding
  • Method Overriding and Overloading

Chapter 11: Exception Handling 

  • Introduction to Exception Handling
  • Exception Handling Mechanism
  • Handling Multiple Exception
  • Customer Expectation
  • Error Handling Strategies

Chapter 12: Advanced Data Structure

  • Lists
  • Sets
  • Dictionaries
  • Stack and Queue (Using Lists)

Chapter 13: Functional Programming

  • Map, Filter & Reduce
  • Lambda and Anonymous Functions

Chapter 14: Working with Files and Directories 

  • Files i/o Operations (Binary Files)
  • Directory Manipulation
  • Working with CSV and JSON Files

Chapter 15: Regular Expression 

  • Introduction to Regular Expression
  • Pattern Matching with re-Module
  • Common Regular Expression Pattern

Chapter 16: Web Development with Python

  • Introduction to Web Development
  • Building Simple Web Applications with Flask and Django

Chapter 17: Data Analysis and Visualisation

  • Numpy and Pandas for Data Manipulation
  • Matplotlib and Seaborn

Chapter 18: Machine Learning and AI

  • Introduction to Machine Learning
  • Using Libraries like scikit Learn and Tesorflow
  • Simple Machine Learning Example
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