Python is a multi-purpose programming language that is gaining popularity. It supports mutable data types like lists and dictionaries that allow their contents to be modified, as well as immutable types like numbers and strings that cannot be changed once created. The document discusses Python data types and how they can be manipulated, providing examples of adding, deleting, and modifying items in lists, tuples, sets, and dictionaries. It also mentions counting the occurrences of list items and analyzing categorical data with Python projects.

4. PYTHON IS POPULAR

5. PYTHON IS A MULTIPURPOUSE
LANGUAGE

7. Applications

8. Lets Move on python Programming

9. Data Types

10. Mutable and Immutable Types
• Data objects of the above types are stored in a
computer's memory for processing. Some of these
values can be modified during processing, but
contents of others can't be altered once they are
created in the memory.
• Numbers, strings, and Tuples are immutable, which
means their contents can't be altered after creation.
• On the other hand, items in a List or Dictionary object
can be modified. It is possible to add, delete, insert,
and rearrange items in a list or dictionary. Hence, they
are mutable objects.

11. DATA TYPES Manipulations
LIST Tuple SET Dictionary
Add x.append()
x.insert()
NA x.update()
x.add()
X[key]=value
Delete x.remove()
x.pop()
NA x.pop() x.pop
https://www.tutorialsteacher.com/articles/how-to-count-occurences-of-list-items-in-python

12. CATEGORICAL DATA

13. Problem 2

14. Python Projects