Data Structure in Python | Jupyter Notebook | Python Data Science for beginners

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Data structures in Python are used to organize, store and manage data in an efficient and organized way. There are several built-in data structures in Python, each with their own unique characteristics and use cases.

The first data structure is the list. A list is an ordered collection of items. Each item can be of any data type, such as strings, numbers, or even other lists. Lists are enclosed in square brackets [], and items are separated by commas. For example, a list of fruits could be represented as:

fruits = [“apple”, “banana”, “orange”]

Another built-in data structure is the tuple. A tuple is similar to a list, but it is immutable, meaning that its elements cannot be modified once created. Tuples are also ordered collections of items, but they are enclosed in parentheses () instead of square brackets []. For example, a tuple of numbers could be represented as:

numbers = (1, 2, 3)

The next data structure is the dictionary. A dictionary is an unordered collection of key-value pairs. Each key is associated with a value, and the key is used to access the value. Dictionaries are enclosed in curly braces {}. For example, a dictionary of countries and their capitals could be represented as:

countries = {“United States”: “Washington, D.C.”, “France”: “Paris”, “Germany”: “Berlin”}

Another built-in data structure is the set. A set is an unordered collection of unique items. Sets are enclosed in curly braces {} and items are separated by commas, but no duplicates are allowed. For example, a set of numbers could be represented as:

numbers = {1, 2, 3, 3}

The last data structure is the string. A string is a sequence of characters. Strings are enclosed in single or double quotes. For example, a string could be represented as:

name = “John Doe”

It is also possible to use different data structures together to create more complex data structures. For example, a list of dictionaries could be used to represent a collection of records, where each record is a dictionary.

In conclusion, data structures in Python are used to organize, store and manage data in an efficient and organized way. There are several built-in data structures in Python, including lists, tuples, dictionaries, sets and strings. Each data structure has its own unique characteristics and use cases, and they can be used together to create more complex data structures. Understanding and using data structures is an important step in becoming proficient in programming with Python.

 

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