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title: understanding primitive data types in python
introduction:
python, as a dynamically typed language, utilizes several built-in data types to store and manipulate data efficiently. while python does not have the same explicit concept of "primitive data types" as languages like c or java, it does have fundamental data types that serve similar purposes. in this tutorial, we will explore these fundamental data types in python and understand their usage with code examples.
numeric types:
python supports several numeric data types, including integers, floating-point numbers, and complex numbers.
strings:
strings are sequences of characters, and they are immutable in python.
boolean type:
boolean data type represents truth values, true or false.
none type:
none represents the absence of a value or a null value.
sequence types:
python provides several sequence data types, including lists, tuples, and ranges.
list:
tuple:
range:
mapping type:
python has a built-in mapping type called a dictionary (dict).
set types:
sets are unordered collections of unique elements.
conclusion:
python offers a variety of built-in data types to handle different kinds of data efficiently. understanding these primitive data types is essential for writing effective python code. by mastering these fundamental data types, you'll be equipped to work with various kinds of data and build powerful applications in python.
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