🚀 Mastering Python for Coding Interviews – A Smart Roadmap

Python shines in interviews when you understand concepts deeply and apply them under pressure—not by memorizing syntax.

Focus on these essentials:

🔹 Sorting – custom keys, lambdas, sorted vs in-place

🔹 Pythonic Code – unpacking, zip, chained comparisons, quick min–max

🔹 Lists – initialization, resizing, cloning, list comprehensions

🔹 Stacks & Queues – DFS/BFS basics, deque operations

🔹 2D Lists – grids, matrices, nested loops

🔹 Hashmaps & Sets – dict, defaultdict, Counter, set ops

🔹 Heaps – k-largest/smallest, heapify, min/max heap tricks

🔹 Sorted Dicts/Sets – ordered data handling (advanced)

💡 Key takeaway:

Don’t memorize. Understand. Clean, optimized, Pythonic solutions win interviews.

List of AI Project Ideas 👨🏻‍💻

Beginner Projects

🔹 Sentiment Analyzer
🔹 Image Classifier
🔹 Spam Detection System
🔹 Face Detection
🔹 Chatbot (Rule-based)
🔹 Movie Recommendation System
🔹 Handwritten Digit Recognition
🔹 Speech-to-Text Converter
🔹 AI-Powered Calculator
🔹 AI Hangman Game

Intermediate Projects

🔸 AI Virtual Assistant
🔸 Fake News Detector
🔸 Music Genre Classification
🔸 AI Resume Screener
🔸 Style Transfer App
🔸 Real-Time Object Detection
🔸 Chatbot with Memory
🔸 Autocorrect Tool
🔸 Face Recognition Attendance System
🔸 AI Sudoku Solver

Advanced Projects

🔺 AI Stock Predictor
🔺 AI Writer (GPT-based)
🔺 AI-powered Resume Builder
🔺 Deepfake Generator
🔺 AI Lawyer Assistant
🔺 AI-Powered Medical Diagnosis
🔺 AI-based Game Bot
🔺 Custom Voice Cloning
🔺 Multi-modal AI App
🔺 AI Research Paper Summarizer

💬 Tap ❤️ for more!

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Reinforcement Learning Course

This course teaches you practical reinforcement learning through hands-on implementation of Deep RL algorithms. It dives into Q-learning, policy gradients, and multi-agent systems with working code examples. And if you complete 80% of the Assignments you can get a certificate.
Prerequisite: Python and deep learning basics.

📚 Theory + Hands on Projects + Challenges
⏰ Duration: ~35 hours
🏃‍♂️ Self Paced
Created by 👨‍🏫: Hugging Face
🔗 Course Link https://github.com/huggingface/deep-rl-class


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📚Linux: Complete Power points

Unit 1:Linux basics
Intro to Linux OS, basic commands and shell basics.
🔗Link

Unit 2: Linux Installation and Environment
Some versions include installation and boot steps alongside file system topics. Many show the process and environment setup.
🔗Link

Unit 3: File System and Directory Structure
Shows Linux directory structure and file types.
🔗 Link

Unit 4: Basic Linux Commands
Contains many basic CLI commands
🔗 Link

Unit 5: File Permissions and Ownership
Dedicated slides on symbolic and numeric permissions, chown and ls -l output.
🔗 Link

Unit 6: Process and System Management
Process states, monitoring, commands
🔗 Link

Unit 7: Linux Utilities
Basic shell utilities, file tools, compression
🔗 Link

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