python

Conditional statements in Python help your code make decisions. They let your program run different code blocks based on whether a condition is true or false. This helps you control how your program flows.

String modification or manipulation in Python helps you work with text data. It lets you create, change, and manage strings effectively. You can use this to save time and write better code.

Parsing HTML is a critical part of web scraping and automation. While libraries like BeautifulSoup are ideal for structured HTML, regular expressions can be effective for quick, pattern-based extraction. This guide explains how to use Python and regex to parse HTML efficiently, when it’s appropriate, and where it falls short.

Want to turn Wikipedia’s raw content into clean, structured datasets? This guide walks you through Python-based methods to extract text, tables, infoboxes, and more using wikipedia, BeautifulSoup, and pandas.

Functions are the building blocks of clean and efficient Python code. In this practical guide, you’ll learn how to master functions by solving everyday problems—making your programming journey more intuitive and impactful.

Choosing the right data structure in Python can boost your code’s performance and clarity. This guide helps you decide between lists, tuples, sets, and dictionaries with real-world examples and expert tips.

Python is beginner-friendly, but even seasoned developers can run into common errors like SyntaxError, IndentationError, or IndexError. This guide explores the five most frequent Python mistakes, shows why they happen, and teaches you how to fix them efficiently.