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Data structures in Python - cheat sheet
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Data Analytics on LinkedIn: Python Cheatsheet
Complete Python Topics for Data Analytics Basics of Python: - Python Syntax - Data Types - Variables - Operators - Control Structures - if-elif-elseโฆ
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AI Technology
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๐๐ข๐ฌ๐ญ๐ฌ:
- Lists are ordered collections of items.
- They are mutable, meaning you can change their content after creation.
- You can have duplicate values in a list.
- Lists are defined using square brackets [ ].
Example:
my_list = [1, 2, 3, 'apple', 'banana', 'cherry']
๐๐ฎ๐ฉ๐ฅ๐๐ฌ:
- Tuples are ordered collections of items, similar to lists.
- However, they are immutable, meaning once created, their content cannot be changed.
- Tuples are defined using parentheses ( ).
- You can have duplicate values in a tuple.
Example:
my_tuple = (1, 2, 3, 'apple', 'banana', 'cherry')
๐๐ข๐๐ญ๐ข๐จ๐ง๐๐ซ๐ข๐๐ฌ:
- Dictionaries are unordered collections of items that are stored as key-value pairs.
- They are mutable.
- Dictionaries are defined using curly braces { }.
- Each key in a dictionary must be unique, but the values can be duplicated.
Example:
my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}
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