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Pyhton Data Types:

- Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data.
- Since everything is an object in Python programming, data types are actually classes and variables are instance (object) of these classes.
- Python has the following data types built-in by default: Numeric(Integer, complex, float), Sequential(string,lists, tuples), Boolean, Set, Dictionaries, etc

✔ Python Data Structures:

Data structures are essential for efficient data organization in programming. Python simplifies learning these fundamentals compared to other languages.

1. List:

   • Lists are ordered and mutable, meaning you can change their elements after creation.

   • Elements in a list are enclosed in square brackets [].

   • Lists allow duplicate elements.

   • Example:

        codemy_list = [1, 2, 3, 4, 5]
     

2. Tuple:

   • Tuples are ordered and immutable, meaning their elements cannot be changed after creation.

   • Elements in a tuple are enclosed in parentheses ().

   • Tuples allow duplicate elements.

   • Example:

        codemy_tuple = (1, 2, 3, 4, 5)
     

3. Set:

   • Sets are unordered and mutable, meaning you can change their elements after creation.

   • Elements in a set are enclosed in curly braces {}.

   • Sets do not allow duplicate elements.

   • Example:

        codemy_set = {1, 2, 3, 4, 5}
     

Now, if you want to see how to create and use these data structures in Python, you can try running the following code in a Python environment:

# List
my_list = [1, 2, 3, 4, 5]
print("List:", my_list)

# Tuple
my_tuple = (1, 2, 3, 4, 5)
print("Tuple:", my_tuple)

# Set
my_set = {1, 2, 3, 4, 5}
print("Set:", my_set)