This repository contains end-to-end structured notes on Python with coding examples.
The main goal of this repository is to provide well-structured content on Python in one place, covering:
- Comprehensive Python notes
- Coding practice
- Proper guidance with structured explanations
- Visual representations (e.g., Venn diagrams) to enhance understanding
- What is Python?
- Why use Python for Data Science & AI?
- Features of Python
- Python Modules
- Comments in Python
- Identifiers and Rules
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Bitwise Operators
- Membership Operators
- Identity Operators
print()
,input()
,len()
,id()
,help()
,type()
int
,float
,complex
bool
,string
list
,tuple
,set
,dictionary
,frozenset
- String Methods:
len()
,lower()
,upper()
,strip()
,split()
,join()
,replace()
,startswith()
,endswith()
- Indexing & Slicing
- CRUD operations
- List methods
- List slicing
- CRUD operations
- Tuple methods
- Tuple slicing
- CRUD operations
- Set methods
- CRUD operations
- Dictionary methods
if
statementif-else
if-elif-else
- Nested
if-else
for
loopwhile
loop
break
continue
pass
- Function Definition and Calling
- Function Signature
- Types of Variables (Local, Global)
- Types of Arguments:
- Positional
- Keyword
- Default
- Variable-Length
- Keyword Variable-Length
- LinkedIn: https://www.linkedin.com/in/deeprajvadhwane/
- GitHub: https://github.com/DeeprajVadhwane
- YouTube: https://www.youtube.com/@DeeprajTheDataExplorer
If you find this repository helpful, feel free to contribute by adding more structured content, code examples, or improvements.
This project is open-source and available for learning and educational purposes.
Happy Learning! 🚀