The document provides an overview of Python's features and its built-in data types, including numeric, sequence types, boolean, sets, dictionaries, and binary types. It details the definition, behavior, and examples of numeric types (integers, floats, and complex numbers) and sequence types such as strings and lists, highlighting their creation and manipulation. Additionally, it illustrates list operations including accessing, modifying, adding, and removing elements.

1. PYTHON

2. Python Features
• Free and Open Source
• High-level language
• Interpreted
• Object oriented
• Indentation
• portable

3. • GUI Support
• Dynamically typed
• Rich library
• Extensible &emmbedable

4. Python Data Types
• Python 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.

5. CLASSIFICATION
• The following are the standard or built-in data types in Python:
• Numeric
• Sequence Type
• Boolean
• Set
• Dictionary
• Binary Types( memoryview , bytearray , bytes )

7. • To define the values ​
​
of various data types of Python and check their data
types we use the type() function
Numeric Data Types in Python
• The numeric data type in Python represents the data that has a numeric
value. A numeric value can be an integer, a floating number, or even a
complex number.

8. • These values are defined as
Python int
Python float
Python complex
Integers – This value is represented by int class. It contains positive or negative whole
numbers (without fractions or decimals).
Float – This value is represented by the float class. It is a real number with a floating-
point representation. It is specified by a decimal point.

9. • Complex Numbers – A complex number is represented by a complex class. It is
specified as (real part) + (imaginary part)j . For example – 2+3j
• a = 5
• print("Type of a ", type(a))
• b = 5.0
• print("nType of b ", type(b))
• c = 2 + 4j
• print("nType of c ", type(c))

10. Output
Type of a: <class 'int'>
Type of b: <class 'float'>
Type of c: <class
'complex'>

11. Sequence Data Types in Python
• A sequence is a data type that represents an ordered collection of items.
Sequences are one of the most fundamental types of data structures in
Python, and they can hold a collection of items (elements) in a specific
order:
• Python String
• Python List
• Python Tuple

12. • Strings in Python can be created using single quotes, double quotes, or even
triple quotes.
• String1 = 'Welcome to the Geeks World'
• print("String with the use of Single Quotes: ")
• print(String1)
• String1 =
• print("nString with the use of Double Quotes: ")
• print(String1)

13. • List are just like arrays, declared in other languages which is an ordered
collection of data. It is very flexible as the items in a list do not need to be of
the same type
• In Python, list is a collection data type that is ordered, mutable (changeable), and
allows duplicate elements.
• Creating a List in Python
• Lists in Python can be created by just placing the sequence inside the square
brackets[]

14. • # Creating a list of fruits
• fruits = ["apple", "banana", "cherry", "date"]
• # Accessing elements of the list
• print(fruits[0]) # Output: apple
• print(fruits[2]) # Output: cherry
• # Modifying an element in the list
• fruits[1] = "blueberry"
• print(fruits) # Output: ['apple', 'blueberry', 'cherry', 'date']

15. • # Adding elements to the list
• fruits.append("elderberry")
• print(fruits) # Output: ['apple', 'blueberry', 'cherry', 'date', 'elderberry']
• # Removing an element from the list
• fruits.remove("date")
• print(fruits) # Output: ['apple', 'blueberry', 'cherry', 'elderberry']
• # Slicing the list (extracting a portion of the list)
• sublist = fruits[1:3]
• print(sublist) # Output: ['blueberry', 'cherry']

16. Program to print sum of two number