Welcome to the first chapter of "Fluent Python" by Luciano Ramalho. This book is a comprehensive guide to writing idiomatic Python code using the language's best practices. In this chapter, we'll cover the basics of Python and set the stage for the rest of the book.

Table of Contents

1.1. Python as a Language

Python is a high-level, interpreted, general-purpose programming language. It's known for its simplicity and readability, making it an excellent choice for beginners and experienced programmers alike.

Python is dynamically-typed, which means you don't have to declare the type of a variable when you create it. The interpreter infers the type based on the value you assign to the variable.

Read more about Python's features

1.2. Python Data Model

Python provides a rich set of built-in data types, including integers, floating-point numbers, strings, lists, tuples, dictionaries, and sets. These data types are the building blocks of Python programs.

Explore Python's data types in detail

1.3. Python Types and Objects

In Python, everything is an object, and each object has a type. The type of an object determines the set of operations that can be performed on it.

Understand Python's types and objects

1.4. Built-in Functions

Python provides a wide range of built-in functions that you can use to perform common tasks, such as mathematical operations, string manipulation, and file handling.

Discover Python's built-in functions

1.5. Iterators and Generators

Iterators and generators are essential concepts in Python, allowing you to create and work with collections of data in a more efficient and elegant way.

Learn about iterators and generators

Python Programming