Computer Science

This PDF provides complete and easy-to-understand notes on Python Database Connectivity, an essential concept for building real-world applications and data-driven systems. What you will learn: Introduction to database connectivity in Python SQLite database and its usage MySQL database connection using Python Creating tables and database structure CRUD operations (Insert, Update, Delete, Fetch) SQL queries in Python Advantages and disadvantages Real-world applications ...

This PDF provides complete and easy-to-understand notes on Python JSON Handling, an essential concept for working with APIs and real-world data. What you will learn: Introduction to JSON in Python Definition and JSON data structure Difference between JSON and Python dictionary Converting JSON to Python (loads) Converting Python to JSON (dumps) Reading and writing JSON files Advantages and disadvantages Real-world applications Python code examples for better underst...

This PDF provides complete and easy-to-understand notes on Python APIs, an essential concept for modern programming and data analysis. What you will learn: Introduction to APIs in Python Definition and types of APIs (REST, Web APIs) HTTP methods (GET, POST, PUT, DELETE) Working with APIs using requests library Handling JSON data API authentication (API keys, tokens) Real-world applications of APIs Python code examples for better understanding This document is perf...

This PDF provides complete and easy-to-understand notes on Python Lambda Functions, a useful feature for writing small and efficient anonymous functions in Python. What you will learn: Introduction to Lambda Functions Definition and syntax of lambda expressions How lambda functions work internally Lambda with map(), filter(), and reduce() Advantages and disadvantages Real-world applications Python code examples for better understanding This document is perfect for: ...

What you will learn: Introduction to Decorators in Python Definition and working of decorators How decorator functions and wrappers work Decorators with arguments Multiple decorators and built-in decorators Advantages and disadvantages Real-world applications Python code examples for better understanding This document is perfect for: Engineering students Computer Science learners Beginners learning advanced Python concepts Exam preparation and revision ...

What you will learn: Introduction to Generators in Python Definition and working of generators Yield keyword and how generators work internally Generator functions and generator expressions Difference between generators and lists Advantages and disadvantages Real-world use cases and applications Python code examples for better understanding This document is perfect for: Engineering students Computer Science learners Beginners learning advanced Python concept...

This document provides detailed study notes on Python Iterators, an important concept used for traversing elements of collections such as lists, tuples, and sets. The notes explain how iterators work internally using the iter() and next() methods.

This document provides detailed study notes on Python Abstraction, a key concept in object-oriented programming that focuses on hiding implementation details and exposing only essential features. The notes explain abstract classes, abstract methods, and how abstraction is implemented in Python using the ABC module.

This document provides detailed study notes on Python Encapsulation, an important concept in object-oriented programming that protects object data and controls access through class methods. The notes explain how encapsulation works, different types of access modifiers, and how private variables are used to protect sensitive data.

This document provides detailed study notes on Python Polymorphism, one of the key principles of object-oriented programming. The notes explain how polymorphism allows a single interface to represent multiple behaviors depending on the object used.