Python class 9 | Looping, Ranges & Optimization | | Looping & Logic Building

Welcome to Class 9 of our Python Upskilling Series!
In this session, we focus on Looping in Python — a must-know concept for every programmer, data engineer, and automation developer.

⭐ What you’ll learn in this class:
🔹 1. For Loop

Iterating through lists, strings, dictionaries, and sets

Using range() effectively

Real examples for beginners

🔹 2. While Loop

Syntax, flow & real-time use cases

Loop control techniques

Practical examples for problem solving

🔹 3. Nested Loops

How loops work inside loops

Real project-based demonstrations

🔹 4. Loop Control Statements

break

continue

pass

When and how to use them

🔹 5. Real-World Coding Examples

Pattern printing

Summation & iteration tasks

Automation logic

Basic data engineering tasks

🎯 Who should watch this?

Freshers preparing for coding tests

Working professionals upskilling for better jobs

Non-tech beginners learning Python from zero

Anyone targeting careers in:
Data Engineering, ML/AI, Automation, Software Development, Cloud & DevOps

🚀 Why loops matter?

Loops are essential for:

Logic building

Automation

Data processing

File handling

Interview coding rounds

Real-world Python projects

📌 Part of the Job-Ready Python Series

This is Class 9.
Upcoming classes include: Functions, File Handling, OOP, Error Handling, and Projects.

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