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
ifstatementif-elseif-elif-else- Nested
if-else
forloopwhileloop
breakcontinuepass
- 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! 🚀