Applications

1. Introduction Data visualization helps us understand patterns and insights in data by converting raw numbers into charts and graphs.In Python, the most popular libraries are: 2. Installing Required Libraries…

1. Introduction Web scraping is the process of extracting data from websites. In Python, we commonly use libraries like requests (to fetch web pages) and BeautifulSoup (to parse and extract…

1. What is an API? 2. The requests Library The most common library for working with APIs in Python. Install if needed: 3. Making a GET Request ✅ GET requests…

1. What is JSON? Example JSON data: 2. Working with JSON in Python Python has a built-in json module. 3. Converting JSON to Python (Parsing) 4. Converting Python to JSON…

Introduction Errors are a normal part of programming. In Python, you will encounter two main types of errors: Python provides a powerful way to handle exceptions so your program doesn’t…

1. Introduction File handling is one of the most important skills in Python. Almost every real-world application needs to read from or write to a file. Python makes file handling…

📌 What are Regular Expressions (Regex)? Regular Expressions (regex) are powerful tools used to search, match, and manipulate text patterns. Python provides the re module to work with regex. 🔹…

Introduction JSON (JavaScript Object Notation) is a lightweight format for storing and exchanging data. It’s widely used in APIs, configuration files, and data storage. Python has a built-in json module…