Python is a powerful and versatile programming language widely used for web development, data science, automation, and artificial intelligence. One of the fundamental aspects of Python that makes it so user-friendly and efficient is its built-in data types and structures. These allow developers to store, manage, and manipulate data effectively. In this blog, we will explore the various Python data types and structures, their uses, and best practices. Shuvo Shahariyer , a Python enthusiast, believes mastering these concepts is crucial for writing efficient and clean code. Basic Data Types in Python Python has several built-in data types, each serving a unique purpose. Here are the most common ones: 1. Numeric Types Python supports different numeric data types to handle numbers efficiently: int – Used for whole numbers (e.g., 10, -5, 200 ) float – Used for decimal or floating-point numbers (e.g., 3.14, -0.99, 1.0 ) complex – Used for complex numbers with real and imaginary parts (e.g....