𝟴 𝗦𝗸𝗶𝗹𝗹𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗕𝗲𝗳𝗼𝗿𝗲 𝗘𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝗜𝗻𝘁𝗼 𝟮𝟬𝟮𝟲😍

- Python Programming
- Data Analytics
- ChatGPT
- Data Visualization With Power BI
- Generative AI
- Data Science 
- Tableau
- Java & SQL 
 
𝗦𝘁𝗮𝗿𝘁 𝗡𝗼𝘄👇:-

https://pdlink.in/4m3FwTX

Learn Online | Get Certified With Pro Courses🎓

✅10 Most Useful SQL Interview Queries (with Examples) 💼

1️⃣ Find the second highest salary:

SELECT MAX(salary)  
FROM employees  
WHERE salary < (SELECT MAX(salary) FROM employees);

2️⃣ Count employees in each department:

SELECT department, COUNT(*)  
FROM employees  
GROUP BY department;

3️⃣ Fetch duplicate emails:

SELECT email, COUNT(*)  
FROM users  
GROUP BY email  
HAVING COUNT(*) > 1;

4️⃣ Join orders with customer names:

SELECT c.name, o.order_date  
FROM customers c  
JOIN orders o ON c.id = o.customer_id;

5️⃣ Get top 3 highest salaries:

SELECT DISTINCT salary  
FROM employees  
ORDER BY salary DESC  
LIMIT 3;

6️⃣ Retrieve latest 5 logins:

SELECT * FROM logins  
ORDER BY login_time DESC  
LIMIT 5;

7️⃣ Employees with no manager:

SELECT name  
FROM employees  
WHERE manager_id IS NULL;

8️⃣ Search names starting with ‘S’:

SELECT * FROM employees  
WHERE name LIKE 'S%';

9️⃣ Total sales per month:

SELECT MONTH(order_date) AS month, SUM(amount)  
FROM sales  
GROUP BY MONTH(order_date);

🔟 Delete inactive users:

DELETE FROM users  
WHERE last_active < '2023-01-01';

✅ Tip: Master subqueries, joins, groupings & filters – they show up in nearly every interview!

💬 Tap ❤️ for more!

Many people reached out to me saying telegram may get banned in their countries. So I've decided to create WhatsApp channels based on your interests 👇👇

Free Courses with Certificate: https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g

Data Analysts: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

MS Excel: https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i

Jobs & Internship Opportunities:
https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

Web Development: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z

Python Free Books & Projects: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

Java Resources: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s

Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

SQL: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v

Power BI: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c

Programming Free Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

Data Science Projects: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y

Learn Data Science & Machine Learning: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D

Improve your communication skills: https://whatsapp.com/channel/0029VaiaucV4NVik7Fx6HN2n

Don’t worry Guys your contact number will stay hidden!

ENJOY LEARNING 👍👍

🔥 Guys, Another Big Announcement!

I’m launching a Python Interview Series 🐍💼 — your complete guide to cracking Python interviews from beginner to advanced level!

This will be a week-by-week series designed to make you interview-ready — covering core concepts, coding questions, and real interview scenarios asked by top companies.

Here’s what’s coming your way 👇

🔹 Week 1: Python Fundamentals (Beginner Level)
• Data types, variables & operators
• If-else, loops & functions
• Input/output & basic problem-solving
💡 *Practice:* Reverse string, Prime check, Factorial, Palindrome

🔹 Week 2: Data Structures in Python
• Lists, Tuples, Sets, Dictionaries
• Comprehensions (list, dict, set)
• Sorting, searching, and nested structures
💡 *Practice:* Frequency count, remove duplicates, find max/min

🔹 Week 3: Functions, Modules & File Handling
• *args, *kwargs, lambda, map/filter/reduce
• File read/write, CSV handling
• Modules & imports
💡 *Practice:* Create custom functions, read data files, handle errors

🔹 Week 4: Object-Oriented Programming (OOP)
• Classes, objects, inheritance, polymorphism
• Encapsulation & abstraction
• Magic methods (__init__, __str__)
💡 *Practice:* Build a simple class like BankAccount or StudentSystem

🔹 Week 5: Exception Handling & Logging
• try-except-else-finally
• Custom exceptions
• Logging errors & debugging best practices
💡 *Practice:* File operations with proper error handling

🔹 Week 6: Advanced Python Concepts
• Decorators, generators, iterators
• Closures & context managers
• Shallow vs deep copy
💡 *Practice:* Create your own decorator, generator examples

🔹 Week 7: Pandas & NumPy for Data Analysis
• DataFrame basics, filtering & grouping
• Handling missing data
• NumPy arrays, slicing, and aggregation
💡 *Practice:* Analyze small CSV datasets

🔹 Week 8: Python for Analytics & Visualization
• Matplotlib, Seaborn basics
• Data summarization & correlation
• Building simple dashboards
💡 *Practice:* Visualize sales or user data

🔹 Week 9: Real Interview Questions (Intermediate–Advanced)
• 50+ Python interview questions with answers
• Common logical & coding tasks
• Real company-style questions (Infosys, TCS, Deloitte, etc.)
💡 *Practice:* Solve daily problem sets

🔹 Week 10: Final Interview Prep (Mock & Revision)
• End-to-end mock interviews
• Python project discussion tips
• Resume & GitHub portfolio guidance

📌 Each week includes:
✅ Key Concepts & Examples
✅ Coding Snippets & Practice Tasks
✅ Real Interview Q&A
✅ Mini Quiz & Discussion

👍 React ❤️ if you’re ready to master Python interviews!

👇 You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099

✅ Artificial Intelligence Engineer Roadmap 🤖🧠

🚀 Foundations
- Mathematics
• Linear Algebra, Calculus
• Probability & Statistics
- Programming
• Python (core language)
• C++ (for performance)
• SQL (for data handling)
- Computer Science Basics
• Data Structures & Algorithms
• OOP Concepts

📘 Core AI Concepts
- Search Algorithms
• BFS, DFS, A*
- Knowledge Representation
• Ontologies, Graphs
- Logic & Reasoning
• Propositional & Predicate Logic
- Planning & Decision Making
• Markov Decision Process (MDP)
• Game Theory Basics

🧠 Machine Learning & Deep Learning
- ML Algorithms
• Regression, Classification, Clustering
- Deep Learning
• Neural Networks, CNN, RNN
• Transformers, Attention Mechanisms
- Frameworks
• TensorFlow, PyTorch, Keras

📊 NLP & Computer Vision
- NLP
• Tokenization, Lemmatization
• Language Models (BERT, )
- CV
• Image Classification, Object Detection
• OpenCV, YOLO, Mask R-CNN

🛠 Tools & Platforms
- Jupyter, GitHub, Docker
- MLflow, Weights & Biases
- Hugging Face, OpenAI APIs

☁️ Model Deployment & Monitoring
- FastAPI, Flask for APIs
- CI/CD Pipelines
- Cloud (AWS Sagemaker, GCP Vertex AI, Azure ML)

🧑‍💼 Real-World Essentials
- AI Product Thinking
- Explainable AI (XAI)
- Ethics, Bias & Fairness
- Working with Stakeholders

📚 Learn From
- Papers with Code
- Arxiv.org
- DeepLearning.AI
- Kaggle Projects
- YouTube Lectures (e.g. MIT, Stanford)

👍 Tap ❤️ for more!

Hi guys,

We have shared a lot of free resources here 👇👇

Telegram: https://news.1rj.ru/str/pythonproz

Aratt: https://aratt.ai/@pythonproz

Like for more ❤️