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Lists, dictionaries, tuples and functions

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Python is a powerful and versatile programming language that provides a variety of data structures for storing and manipulating data. In this post, we will discuss four important data structures: lists, tuples, dictionaries, and functions. Lists are one of the most commonly used data structures in Python. They are used to store a collection of items in a single variable. Lists are mutable, which means that their elements can be modified after they are created. Lists are created using square brackets, and items are separated by commas. For example: lists are a very versatile data structure in Python and there are many different operations you can perform on them. One of the most basic operations you can perform on a list is to access its elements. You can access a specific element of a list by its index, which is the position of the elementin the list. For example: You can also use negative indices to access elements from the end of the list. For example: You can also modify the el...

Basics Python

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 Python is one of the most popular programming languages in the world. It is known for its simple syntax, making it a great language for beginners to learn. In this article, we will cover some of the basic elements of Python, including data types, variables, and control structures. First, let's talk about data types. Python has several built-in data types, including integers, floats, strings, and booleans. An integer is a whole number, a float is a number with a decimal point, a string is a sequence of characters, and a boolean is a value that is either True or False. Here are some examples of each data type: Next, let's talk about variables. Variables are an essential element of any programming language, including Python. They are used to store and manipulate data in a program. In Python, you do not need to declare a variable before using it, you simply assign a value to it. Here is an example of how to create and use a variable: In the example above, we created a variable c...