🔥 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 ❤️