Kaagga Vision Pvt. Ltd

Full Stack Developer

I have a Master's degree in Information Technology and a keen interest in artificial intelligence and deep learning.

Passionate about applying cutting edge AI to address real world issues and drive meaningful change. Seeking opportunities to further develop my abilities and contribute value through data driven solutions.

Python is simple — until you forget the syntax.

Python is everywhere in data science, automation, AI, analytics, and even web development.

But when you’re learning (or switching from another language), it’s easy to forget the syntax or mix up concepts.

That’s why I put together this free resource covering everything you need to write clean, efficient Python code.

Here’s what’s inside:
 ✅ Basic syntax, comments, and type casting
 ✅ Lists, tuples, sets, and dictionaries
 ✅ Loops, conditionals, and functions (including lambdas)
 ✅ File handling, error handling, and list comprehensions
 ✅ Libraries like NumPy, Pandas, and Matplotlib
 ✅ Practical examples for real-world coding

👇 Download the full Python Cheatsheet PDF below

Muhammad Usman Shahbaz

Python Cheetsheat

Think You Know SQL? Try Solving These 45 Questions.

Whether you’re preparing for your first data interview or aiming for a FAANG-level SQL role, mastering the right kind of problems makes all the difference.

That’s this PDF with the 45 most asked SQL interview questions — straight from real interview experiences at top companies like:
 💼 Walmart
 💼 Microsoft
 💼 Google
 💼 Goldman Sachs
 💼 Mastercard

Inside, you’ll find:
 ✅ Practical SQL problems — from joins and ranking to window functions and aggregation
 ✅ Real-world examples with schema design
 ✅ Challenges that test both logic and performance thinking

Perfect for:
 ➡️ Data Analysts
 ➡️ Backend Developers
 ➡️ Aspiring Data Scientists
 ➡️ Anyone who wants to speak SQL fluently

📘 Download the full guide and start preparing

Most Asked SQL Questions

Master SQL from Zero to Hero — in ONE Resource!

Whether you’re just starting your SQL journey or preparing for an interview, this comprehensive 100-question guide is your one-stop solution to understand SQL concepts, commands, and real-world scenarios — all in a structured way from Beginner → Intermediate → Advanced → Optimization.

Inside you’ll learn:

 ✅ SQL basics like Primary Keys, Joins, and Constraints
 ✅ Advanced topics — Window Functions, CTEs, Triggers & Indexing
 ✅ Real-world problem-solving (finding highest salaries, duplicates, optimization techniques)
 ✅ Interview-focused Q&A format with clear examples

📎 Grab the full PDF (attached in this post)

Master SQL

Stop memorizing SQL. Start understanding how to think in SQL.

SQL is the language every data professional needs to speak fluently.

 Whether you’re analyzing data, building dashboards, or optimizing queries, these commands form your daily toolkit.

This cheat sheet covers everything from:

 ✅ Basic SELECT & WHERE filters
 ✅ Advanced JOIN techniques
 ✅ Aggregations & Grouping
 ✅ Window functions
 ✅ Subqueries & CTEs
 ✅ Data manipulation with INSERT, UPDATE, and DELETE

👉 Download the full PDF attached below and level up your SQL game.

SQL Queries

Top Python Interview Questions, Every Developer Should Know!

Whether you’re preparing for your first tech interview or aiming for FAANG-level roles, mastering Python fundamentals is non-negotiable.

This PDF brings together 50 handpicked Python questions the kind that actually show up in interviews at Google, Netflix, Amazon, and Meta.

💡 Here’s what you’ll learn inside:
 ✅ Performance optimization & memory management in Python
 ✅ Difference between List, Tuple, Dict, and Set (with examples)
 ✅ Advanced concepts — Decorators, Generators, and Metaclasses
 ✅ Functional programming in Python (map, reduce, filter)
 ✅ Popular data analysis libraries: Pandas, SciKit, Seaborn, SciPy
 ✅ Real interview code snippets and expected outputs

📎 Download the full PDF and start preparing.

Python Interview Questions

Ready to Master Python the Smart Way?

Most learners study syntax but pros practice problems.

That’s why I’m sharing something special 👇

500 Python Practice Exam Questions & Answers with Explanations

This comprehensive guide covers everything from:
 ✅ Python basics & control structures
 ✅ Data structures & OOP
 ✅ Functions, exceptions, and advanced concepts

This PDF will help you think like a Python developer not just memorize code.

📘 Download the pdf, explore, and practice from it.

Python Practice Questions

🤔 Subquery vs CTE vs Temporary Table — Which One Should You Use?

If you’ve ever written a long SQL query and thought “there has to be a cleaner way to do this…” — this guide is for you.

Whether you’re filtering data, optimizing performance, or simplifying multi-step queries, understanding Subqueries, CTEs, and Temp Tables is a game-changer for database design and data analysis.

💡 Here’s what you’ll learn inside :
 ✅ How Subqueries work — simple, nested, and inline filters
 ✅ When to use Temporary Tables for multi-step transformations
 ✅ How CTEs make complex queries easier to read & reusable
 ✅ Pros and Cons of each (performance, readability, and reusability)
 ✅ Real SQL examples for each concept

📎 Download the full visual guide (PDF attached)

Subqueries vs Temporary Tables vs CTE

Write Smarter SQL, Not Longer SQL

Every data analyst eventually learns this the hard way it’s not about how much SQL you know, it’s about how efficiently you use it.

If your queries are slow, clunky, or hard to maintain, you’re leaving performance on the table.

This practical guide packed with real examples of how to make your SQL faster, cleaner, and more scalable.

Here’s a sneak peek of what’s inside:

 🔥 Replace repetitive LIKE conditions with REGEXP_LIKE()
 ⚙️ Turn huge IN() lists into temporary tables
 🚀 Order your joins for maximum efficiency
 📊 Group by smarter — not just by habit
 💡 Avoid subqueries that slow down your logic

Download the full PDF below 👇

SQL Optimization Tips

Think in objects, not just code.

Object-Oriented Programming (OOP) isn’t just theory it’s the foundation of modern software development. From Java to Python, C++ to C#, OOP principles shape how we design scalable, maintainable, and reusable code.

This OOPs Interview Guide a curated set of the Top 30 OOP questions & answers you must know.

Here’s a glimpse of what’s inside 👇

 🔹 What is OOP, and why do we use it?
 🔹 The difference between classes & objects (with examples)
 🔹 The 4 pillars of OOP: Encapsulation, Abstraction, Inheritance & Polymorphism
 🔹 Compile-time vs Runtime Polymorphism
 🔹 Overloading vs Overriding explained
 🔹 Access specifiers (Public, Private, Protected) & why they matter
 🔹 Constructors, Destructors & Virtual functions
 🔹 Interfaces vs Abstract classes
 🔹 Types of Inheritance & their limitations

👉 What’s the first OOP concept you learned, and which one took you the longest to fully grasp?
Your document has finished loading

OOP Concepts

The DSA Mastery Blueprint

If you’re preparing for coding interviews, this one’s for you.

Here’s DSA Practice Roadmap a complete, structured guide that covers essential coding problems to help you build strong fundamentals and ace technical rounds.

🔥 What’s Inside:
 ✅ 30 days of guided problem-solving
 ✅ Covers arrays, strings, linked lists, trees, graphs & DP
 ✅ Real LeetCode-style challenges (with patterns)
 ✅ Progressively builds logic, confidence, and speed

💡 Perfect for:

Students preparing for FAANG & product-based company interviews

Developers revising core DSA

Anyone who wants to level up their problem-solving skills

📎 Download the PDF above and start your 30-day journey today.

DSA Mastery

Preparing for Your Next Python Interview?

Here’s something that can give you a real edge 

Top 50 Python Interview Questions — With Answers

After attending and analyzing interviews from top tech companies like Google, Facebook, Netflix, and Amazon, this guide compiles the most frequently asked and most insightful Python questions.

What you’ll find inside:
 ✅ Core Python fundamentals & data types
 ✅ OOP, decorators, and generators
 ✅ Functional programming & exception handling
 ✅ Real interview-style coding questions with explanations

🗂 I’m attaching the “Top 50 Python Interview Questions” PDF for you to download and learn from.

taplio

Muhammad Usman Shahbaz's Linkedin Analytics