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Understanding Primitive and Complex Data Types in Python
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- 080193
- Institución
- Universitat De Barcelona (UB)
Understanding Primitive and Complex Data Types in Python
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Understanding Primitive and Complex Data Types in PythonIntroduction
In this tutorial, we will focus on understanding the primitive and complex data types in
Python. We will also cover type conversion and manipulation.
Primitive Data Types
Python has several primitive data types including:
Numbers
Strings
Booleans
Numbers
Numbers in Python can be of different types, including:
Integers
Floating point numbers
Complex numbers
We can perform arithmetic operations using various operators such as +, -, *, /, %, and **.
Strings
Strings in Python are sequences of characters. We can perform various operations on
strings like:
Concatenation
Slicing
Indexing
Membership testing
Finding substrings
Booleans
Booleans are used to represent the truth values True and False. They are used in decision
making and while loops.
Complex Data Types
Apart from primitive data types, Python also has complex data types such as:
Lists
Tuples
Dictionaries
Sets
Lists
Lists in Python are sequences of items which can be of any type and can be accessed using
an index. We can add, remove or modify elements in a list, and use various methods to
manipulate the list.
Tuples
Tuples are similar to lists, but they are immutable, which means they cannot be modified
once they are created. We can still use various methods on tuples, but they are read-only.
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