How to store data in Python
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There are various ways to store data in Python, some of the most common include:
- Variables: Data can be stored in variables, which can hold a single value such as a number, string, or boolean. For example, you can store a number in a variable like this:
x = 5
. - Lists: Lists are used to store multiple values in a single variable. For example, you can create a list of numbers like this:
numbers = [1, 2, 3, 4, 5]
. - Tuples: Tuples are similar to lists, but the values in a tuple cannot be modified once they are created. For example, you can create a tuple of numbers like this:
numbers = (1, 2, 3, 4, 5)
. - Dictionaries: Dictionaries are used to store key-value pairs. For example, you can create a dictionary of students and their ages like this:
students = {'John': 25, 'Jane': 22, 'Bob': 30}
. - Arrays: Arrays are used to store multiple values of the same type, such as numbers or strings. They can be created using the array module. For example, you can create an array of numbers like this:
numbers = array("i", [1, 2, 3, 4, 5])
. - File: Data can also be stored in a file. Python provides various functions to read and write data from a file. For example, you can write data to a file using the
write()
method, and read data from a file using theread()
method.
There are many other data structures and techniques that can be used to store data in Python, depending on the specific use case.
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A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
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