👋 Hello Juniors & Fellow Batchmates!
Welcome to 🐍 Python Complete Notes – your ultimate coding buddy to go from "What is Python?" ➝ "I can build projects!" in no time.
This is not just another boring set of notes – this is a learning experience curated with ❤️ by 💡 IETE Council, designed to make your coding journey smoother, structured, and actually fun.
We know that learning to code can feel overwhelming sometimes.
So we’ve turned Python into a step-by-step adventure 🗺️ where you learn, practice, and apply concepts just like pros do in the industry.
🚀 Whether you are:
- a beginner who just heard of Python yesterday,
- a college student preparing for placements, or
- a tech enthusiast curious about ML, AI & automation...
This repository is your perfect starting point.
Here’s what you’ll unlock in this repository:
- ✅ Introduction to Python – Installation, Setup, Virtual Environments
- ✅ Variables, Data Types, Type Casting
- ✅ Operators & Expressions
- ✅ Conditional Statements (
if,else,elif) - ✅ Loops (
for,while,break,continue) - ✅ Functions (User-defined & Built-in)
- ✅ Lists – Operations, Slicing, Methods
- ✅ Tuples – Immutability & Use Cases
- ✅ Sets – Union, Intersection, Difference
- ✅ Dictionaries – Key-Value Magic
- ✅ Nested Structures & Practical Examples
- ✅ Classes & Objects
- ✅ Inheritance, Polymorphism, Encapsulation
- ✅ Magic/Dunder Methods (
__str__,__repr__,__add__, etc.) - ✅ Operator Overloading
- ✅ Iterators & Generators (with practical use cases)
- ✅ Decorators & Closures
- ✅ Exception Handling (Custom Exceptions too!)
- ✅ Logging – Debugging like a pro
- ✅ NumPy – Arrays, Vectorization, Math Operations
- ✅ Pandas – DataFrames, Filtering, GroupBy
- ✅ Matplotlib – Visualize data like a scientist
- ✅ Intro to scikit-learn
- ✅ Train simple ML models
- ✅ Real examples (classification, regression basics)
- ✅ Reading, Writing, Appending files
- ✅ Using
os&pathlibfor managing files and directories
- ✅ Arithmetic Calculator (with logging)
- ✅ File Analyzer
- ✅ Simple Data Visualizations
- ✅ Mini-ML Experiments
📌 Made by Students, for Students – Curated by IETE Council ❤️
📌 Exam + Placement Ready – Learn with examples that matter
📌 Industry-Oriented – Covers concepts useful in real projects, ML, AI
📌 Structured Learning Path – From basics ➝ intermediate ➝ advanced
1️⃣ Clone this repository:
git clone https://github.com/CoderNived/Python-Prerequisites.git