different data types used in python
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data types are fundamental building blocks in python programming. they define the nature of data stored in variables, enabling python to interpret and manipulate them appropriately. in this tutorial, we'll explore various data types in python and provide code examples for each.
python supports several numeric data types:
integers represent whole numbers without any decimal point.
floating-point numbers represent real numbers with a decimal point.
complex numbers consist of a real part and an imaginary part.
sequence types are collections of similar or different data types.
lists are ordered collections that can contain elements of different data types.
tuples are similar to lists but are immutable (cannot be modified).
strings represent sequences of characters enclosed within single quotes ('') or double quotes ("").
dictionaries store key-value pairs, allowing retrieval of values by their associated keys.
sets store unique elements, and they are unordered.
boolean data type represents truth values, true or false.
understanding different data types in python is crucial for writing efficient and effective code. python's versatility in handling various data types makes it a powerful language for data manipulation and analysis. practice with these data types to become proficient in python programming.
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