Python Handwritten Notes

Description

Syllabus Included in this E-book👇

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