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35+ Free Resources
120+ Practice Questions
5k+ Downloads
6 Roles Career Roadmaps
Questionnaires Question Sets Practical Sets Learning Paths Career Guidance Cheat Sheets
QUESTIONNAIRES

Interview Questionnaires

Structured question-answer sets built around real interview formats. Download, study and crack your next round.

100
HR & Behavioural

HR Interview Questionnaire — 100 Q&A

STAR-method answers, salary negotiation scripts and the 10 trick questions every interviewer loves to ask.

PDF · 860 KB 3–4 hr study All levels
Sample Questions Inside
Tell me about yourself — the formula that works
Why should we hire you over other candidates?
Where do you see yourself in 5 years?
View Questions
75
Technical

Python Concepts Questionnaire — 75 Q&A

Covers Python fundamentals, OOP, decorators, generators, exception handling, multithreading, and interview questions.

PDF · 1.1 MB 4–5 hr study Intermediate
Sample Questions Inside
Is Python statically or dynamically typed?
How do you handle exceptions in Python?
What is a closure in Python?
View Questions
50
SQL

SQL Interview Questionnaire — 50 Q&A

How to design Twitter, WhatsApp, Netflix and URL shorteners — with worked-out answers and architecture diagrams explained in text.

PDF · 2.4 MB 6–8 hr study Senior level
Sample Questions Inside
Design a scalable URL shortener like bit.ly
How would you build a real-time chat system?
Design a notification service for 100M users
View Questions
60
Frontend

Javscript-Interview-Questionnaire — 60 Q&A

Covers function definitions, scope rules, closures, and how variables behave inside functions.

PDF · 940 KB Daily 30 min study Intermediate
Sample Questions Inside
Variables: var (function-scoped), let/const (block-scoped)
Data Types: string, number, boolean, null, undefined, object, array
Functions: function declarations, expressions, arrow functions
View Questions
QUESTION SETS

Topic-Wise Question Banks

Sorted by topic and difficulty. Download or practice online — perfect for daily revision before your interview.

120+
Python Questions
Beginner → Expert View Questionset
95+
React / JavaScript
Intermediate View Questionset
80+
SQL & Databases
All Levels View Questionset
65+
AWS / Cloud MCQs
Cert Ready View Questionset
75+
AI / ML Concepts
Advanced View Questionset
45+
Data Science MCQs
All Levels View Questionset
PRACTICAL QUESTION SETS

Hands-On Practical Sets

Coding challenges, mini-projects and real-world problem sets designed to build muscle memory — not just theory.

Coding Challenges

30-Day Coding Challenge Pack

One challenge per day for 30 days — progressively harder. Covers arrays, strings, trees, graphs and DP. Ideal pre-placement prep.

  • 📄 Week-1-Foundations.pdf620 KB
  • 📄 Week-2-Intermediate.pdf780 KB
  • 📄 Week-3-4-Advanced.pdf1.1 MB
⬇ Download Full Pack · 2.5 MB
API Projects

Build 5 REST APIs from Scratch

Step-by-step project briefs for building real APIs — auth, CRUD, pagination, rate-limiting and caching. Includes test cases and expected outputs.

  • 📄 Project-Briefs-All-5.pdf890 KB
  • 📄 Test-Cases-Expected-Output.pdf540 KB
  • 📄 Solution-Walkthrough.pdf1.2 MB
⬇ Download Full Pack · 2.6 MB
Mini Projects

10 Full-Stack Mini-Project Briefs

Product spec, feature list, tech stack recommendations and grading rubric for 10 portfolio-ready mini-apps from ToDo to real-time chat.

  • 📄 Projects-1-to-5-Specs.pdf1.3 MB
  • 📄 Projects-6-to-10-Specs.pdf1.4 MB
  • 📄 Evaluation-Rubric.pdf380 KB
⬇ Download Full Pack · 3.1 MB
Database Practicals

SQL Practical Lab — 60 Exercises

Real database schemas with real queries — joins, subqueries, window functions, stored procedures and performance tuning exercises with answer keys.

  • 📄 SQL-Basics-Intermediate.pdf720 KB
  • 📄 SQL-Advanced-Window-Fns.pdf860 KB
  • 📄 Answer-Keys.pdf440 KB
⬇ Download Full Pack · 2.0 MB
machine-learning-icon
AI / ML Practicals

ML Practical Notebook Set — 8 Labs

Jupyter notebook-style lab exercises covering regression, classification, clustering, NLP and model evaluation — with starter code and solutions.

  • 📄 Labs-1-4-Supervised.pdf1.5 MB
  • 📄 Labs-5-8-Unsupervised-NLP.pdf1.8 MB
  • 📄 Starter-Code-Reference.pdf620 KB
⬇ Download Full Pack · 3.9 MB
JavaScript

ReactJs Practical Exercises

CTF-style challenges and penetration testing scenarios — XSS, SQL injection, CSRF and network scanning exercises in safe sandboxed environments.

  • 📄 Web-Security-Labs.pdf980 KB
  • 📄 Network-Scanning-Labs.pdf840 KB
  • 📄 CTF-Challenges.pdf1.1 MB
⬇ Download Full Pack · 2.9 MB
LEARNING PATHS

Structured Learning Paths

Step-by-step roadmaps for each tech role — what to learn, in what order, with curated resources at each stage.

~6 months
Frontend

Frontend Developer Path

From HTML basics to React 18, TypeScript and performance optimization — the complete frontend journey.

  • 1HTML, CSS & Responsive Design
  • 2JavaScript ES6+ & DOM Mastery
  • 3React 18, Hooks & State Mgmt
  • 4TypeScript & Testing (Jest)
📋 30+ Topics
⬇ View Roadmap
~7 months
Programming

Python Developer Path

Master Python from fundamentals to advanced applications including web development, data science, and AI to become a job-ready developer.

  • 1 Python Fundamentals (Syntax, OOP, Data Structures)
  • 2 Advanced Python (Decorators, Generators, Async)
  • 3 Web Development (Django, Flask, REST APIs)
  • 4 Data Science, ML & AI (Pandas, ML Models, TensorFlow)
📋 150+ Topics
⬇ View Roadmap
~9 months
MERN Stack

MERN Development Path

A complete full-stack roadmap covering JavaScript, React, Node.js, Express and MongoDB — from basics to building production-ready applications.

  • 1 JavaScript (ES6+, Async, Core Concepts)
  • 2 React.js — Components, Hooks & Routing
  • 3 Node.js & Express — Backend APIs
  • 4 MongoDB, Auth & Deployment
📋 150+ Topics
⬇ View Roadmap
~6 months
Cloud / DevOps

Cloud & DevOps Engineer Path

Linux to Docker to Kubernetes to AWS — become the engineer who builds and ships the infrastructure that keeps systems alive.

  • 1Linux, Networking & Shell
  • 2Docker & Container Concepts
  • 3AWS Core Services (EC2, S3, RDS)
  • 4Kubernetes, CI/CD & Terraform
📋 48 Topics
⬇ View Roadmap
data-science-icon ~6 months
Data Science

Data Science Path — Python & AI

Python, SQL, data analysis, machine learning, deep learning and real-world deployment — become a job-ready data scientist step by step.

  • 1 Python Fundamentals & Data Handling
  • 2 SQL & Database Management
  • 3 Data Analysis with Pandas & Visualization
  • 4 Machine Learning & Model Building
📋 120+ Topics
⬇ View Roadmap
CAREER GUIDANCE

Navigate Your Tech Career

From landing your first job to negotiating a senior offer — practical guides written by engineers who've been there.

Fresher's Placement Playbook

The complete guide for landing your first tech job — resume writing, online tests, coding rounds, HR interviews and offer negotiations. Written by placed students.

ResumeOnline TestDSA PrepHR RoundOffer
⬇ Download Guide (PDF · 1.8 MB)

Career Switch to Tech — Step-by-Step

From non-tech background to developer in 6–12 months. How to pick the right stack, build a portfolio, network effectively and get past the "no experience" barrier.

Career SwitchPortfolioNetworking6-Month Plan
⬇ Download Guide (PDF · 1.4 MB)

Salary Negotiation Master Guide

Research frameworks, counter-offer scripts, when to walk away and how to negotiate equity, variable pay and benefits — not just base salary.

SalaryNegotiationESOPCounter Offer
⬇ Download Guide (PDF · 940 KB)

Choosing the Right Company — A Framework

Startup vs MNC vs product company vs service company. How to evaluate culture, growth trajectory, tech stack and long-term career fit beyond the CTC.

Startup vs MNCCulture FitGrowth
⬇ Download Guide (PDF · 1.1 MB)

Building a Portfolio That Gets Callbacks

Which projects to build, how to document them, GitHub profile optimisation, README templates and the portfolio website checklist used by our placed students.

GitHubProjectsPortfolio SiteREADME
⬇ Download Guide (PDF · 1.3 MB)

Senior Developer Promotion Guide

How to go from mid-level to senior in 12–18 months — ownership, mentoring, architectural thinking, driving impact and having the promotion conversation with confidence.

LeadershipPromotionImpactMentoring
⬇ Download Guide (PDF · 1.6 MB)
CHEAT SHEETS

Quick-Reference Cheat Sheets

Print-ready one-pagers for the most important tools and concepts — stick them above your desk or review before an interview.

Python Quick Reference

Data types, comprehensions, lambdas, decorators, generators and standard library shortcuts.

View Cheatsheet

CSS Quick Reference

Master layouts, animations, responsive design, Flexbox, Grid, and modern CSS.

View Cheatsheet

React Hooks Reference

useState, useEffect, useRef, useMemo, useCallback, useContext and custom hooks patterns.

View Cheatsheet

Git Command Cheat Sheet

Init, clone, branch, merge, rebase, cherry-pick, stash, reset and resolving merge conflicts.

View Cheatsheet

SQL Syntax Quick Guide

SELECT, JOIN types, GROUP BY, HAVING, subqueries, CTEs and window functions at a glance.

View Cheatsheet

Docker Commands Sheet

Build, run, push, pull, compose, volumes, networks — the 40 commands every developer uses daily.

View Cheatsheet

AWS Services Overview

EC2, S3, RDS, Lambda, CloudFront, IAM, VPC and when to use each — one page, 50+ services mapped.

View Cheatsheet

C#(.Net Core) Cheat Sheet

Quick reference for C# and .NET Core essentials—syntax, OOP concepts, LINQ, APIs, and best practices in one place.

View Cheatsheet
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