non scalar data types in python

in python, data types play a crucial role in programming as they define the kind of values that variables can hold. while scalar data types deal with individual values (like integers, floats, and booleans), non-scalar data types are designed to store collections of values. this tutorial will explore some commonly used non-scalar data types in python: lists, tuples, sets, and dictionaries.
a list is a versatile and mutable collection of elements. it allows you to store different types of data in a single variable. lists are defined using square brackets [].
similar to lists, tuples are ordered collections of elements. the key difference is that tuples are immutable, meaning their elements cannot be modified once defined. tuples are created using parentheses ().
sets are unordered collections of unique elements. they are defined using curly braces {} or the set() constructor.
dictionaries are key-value pairs, where each value is associated with a unique key. they are defined using curly braces {} and colons : to separate keys and values.
understanding these non-scalar data types and their properties is essential for effective python programming. incorporate them into your projects to efficiently manage and manipulate collections of data.
chatgpt
...

#python data science handbook
#python data structures
#python dataclass
#python dataclass to dict
#python data science

Related videos on our channel:
python data science handbook
python data structures
python dataclass
python dataclass to dict
python data science
python data visualization
python data analysis
python database
python data types
python dataframe
python nonlocal vs global
python nonetype
python none vs null
python nonetype object is not iterable
python none check
python nonlocal keyword
python none
python nonlinear regression