2. Python language fundamentals

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Fundamentals of the Python Language

Python is a high-level, interpreted, scripting, imperative, object-oriented, functional, dynamically typed, and strongly typed programming language. It was launched by Guido van Rossum in 1991. It is a general purpose language that stands out for its simplicity and code readability.

Syntax

Python's syntax is extremely clean and easy to understand. One of the main design principles of the language is code readability. This is achieved through a syntax that emphasizes clarity and reduces programming complexity.

Python uses indentation to delimit blocks of code, rather than braces or keywords like many other languages. This leads to cleaner and easier to read code. Additionally, Python also favors the use of English keywords rather than punctuation symbols, which makes the code more accessible to new programmers.

Variables and Data Types

Python is a dynamically typed language, which means that the type of a variable is determined at run time. It is not necessary to declare the type of a variable when creating it. The most common data types in Python include integers, floating-point numbers, strings, and lists.

Python also supports composite data types such as lists, tuples, dictionaries, and sets. Lists are ordered collections of items, tuples are immutable collections of items, dictionaries are collections of key-value pairs, and sets are unordered collections of single items.

Flow Control

Python supports common flow control structures, including if, else, elif for conditionals, and for and while for loops. Additionally, Python supports the break keyword to exit a loop, and continue to jump to the next iteration of a loop.

Functions

Python supports defining functions using the def keyword. A function in Python is a collection of instructions that performs a specific task. Functions can accept parameters and return a value.

Python also supports first-class functions, which means that functions can be passed as arguments to other functions, returned as values ​​from other functions, and assigned to variables.

Classes and Objects

Python is an object-oriented language, which means it supports creating classes and instantiating objects. A class is a template for creating objects, and an object is an instance of a class. Classes can have fields to store data and methods to perform actions.

Modules and Packages

Python supports the creation of modules, which are files containing Python code that can be imported into other Python programs. This allows for code reuse and organization of code into logical components. Packages are collections of modules.

In short, Python is a powerful and flexible language, with a clean and easy-to-understand syntax. Its support for a variety of programming paradigms, including object-oriented and functional programming, makes it a popular choice for many different types of projects.

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32.1. Python Language Fundamentals: Introduction to Python Language

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