python data sets
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in python, data sets are collections of data that allow you to store and manipulate groups of related information efficiently. python provides several built-in data set types, such as lists, tuples, sets, and dictionaries, each with its own characteristics and use cases. in this tutorial, we'll explore these data sets and provide code examples to demonstrate their usage.
lists are ordered collections of items, and they are mutable, meaning their elements can be changed after they are created. lists are created using square brackets [].
tuples are similar to lists, but they are immutable, meaning their elements cannot be changed after they are created. tuples are created using parentheses ().
sets are unordered collections of unique elements. they are mutable, meaning you can add or remove elements after they are created. sets are created using curly braces {} or the set() function.
dictionaries are collections of key-value pairs. they are unordered, mutable, and each key in a dictionary must be unique. dictionaries are created using curly braces {} and colons : to separate keys and values.
these are the basic data set types in python. understanding how to use them effectively will greatly enhance your ability to work with data in python programs.
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