A comprehensive collection of Python projects covering AI development, bioinformatics, financial technology, system design, and practical algorithms. This repository serves as both a learning path and a portfolio of real-world applications.

GitHub Copilot is the primary AI tool across all projects in this repository. It is used for code generation, inline suggestions, and chat-assisted development. Cloud LLMs (OpenAI) serve as the secondary tier, and local models (Ollama) act as the offline fallback — exactly mirroring the 3-tier architecture in the AI Gateway project.

• AI & Machine Learning Projects
• Financial Technology Projects
• Bioinformatics & Computational Science
• Algorithms & Data Structures
• Web Applications
• Specialized Projects
• Quick Start Guide
• Learning Paths

Full-phased AI implementation covering modern AI features

• Tech Stack: Python, LangChain, OpenAI/Ollama, Vector Databases
• Covers: LLMs, RAG systems, Vector search, AI agents, Physics deep learning
• Difficulty: Beginner to Expert (4 levels)
• Highlights: 35,000+ word guideline, Physics AI (Aerodynamics, Hydrodynamics, Thermodynamics), Production-ready patterns

Oracle Database 23ai/26ai with AI features and OCI integration

• Tech Stack: Python, Oracle DB 23ai/26ai, OCI AI Services
• Covers: Vector Search, RAG patterns, Semantic SQL, GenAI development
• Includes: System Building Interviews - 11 production systems (Web Crawler, Rate Limiter, Banking, SQL Engine, Key-Value Store, K8s Scheduler, etc.)
• Difficulty: Intermediate to Expert

Complete AI pipeline with configurable providers

• Tech Stack: Python, LangChain, LangGraph
• Features: Multiple LLM providers, Vector stores, Chain patterns
• Difficulty: Intermediate

Real-time flight tracking with AI assistant

• Tech Stack: Python, Flask, OpenSky Network API
• Features: Live flight data, AI-powered flight information assistant
• Difficulty: Beginner to Intermediate

Comprehensive guide to synchronous vs asynchronous programming

• Languages: Python, C#
• Covers: Async/await patterns, Threading, Event loops, Performance optimization
• Difficulty: Intermediate

Production-ready 3-tier AI failover gateway with RAG support

• Tech Stack: Python, FastAPI, LangChain, Ollama, OpenAI
• AI Tools: GitHub Copilot (primary) → OpenAI Cloud (secondary) → Local Ollama (fallback)
• Features: Copilot → Cloud → Local failover chain, RAG pipeline, circuit-breaker pattern, lightweight ai_edge.py standalone server
• Difficulty: Intermediate to Advanced

Production-grade AI assistant for real-time business queries

• Tech Stack: Python, FastAPI, LangChain, RAG
• Features: Intent classification, hybrid search (structured + vector + photo), streaming freshness pipeline
• Difficulty: Advanced

Full-featured commodity exchange simulator for Bangladesh

• Tech Stack: Python, Flask, WebSocket, Real-time data processing
• Features: Gold derivatives trading, AI trading assistant, Order Management System (OMS), Risk Management System (RMS)
• Highlights: Multi-stakeholder ecosystem, Broker operations, Settlement & clearing
• Related: See README_SIMULATOR.md for full ecosystem details
• Difficulty: Advanced

High-performance Go implementation of trading simulator

• Tech Stack: Go, WebSocket, Concurrent processing
• Features: Professional OMS/RMS, Ultra-low latency, Production-grade architecture
• Difficulty: Advanced

Complete fintech toolkit with banking and payment systems

• Tech Stack: Python, FastAPI, JWT authentication
• Features: Banking operations, Payment processing, FIX/FAST/ITCH protocols, Account management, Back-office operations
• Security: RBAC, JWT tokens, Encryption
• Difficulty: Intermediate to Advanced

Bayesian stock analysis and AI interview trainer

• Tech Stack: Python, Bayesian statistics
• Features: Stock price analysis, AI trick question trainer
• Difficulty: Intermediate

Comprehensive learning project from "Programming for Lovers in Python"

• Tech Stack: Python, Matplotlib, NumPy
• Three Major Modules:
  1. Genome Algorithms - DNA analysis, pattern matching, origin of replication
  2. Monte Carlo Simulation - Random numbers, dice simulation, Craps game
  3. Election Simulation - Electoral College forecasting from polling data
• Learning Topics: Pattern matching, Sliding windows, Probability, Data visualization
• Difficulty: Beginner to Advanced (progressive learning path)

Production-ready AI system for environmental engineering applications

• Tech Stack: Python, AI/ML
• Features: Waste management, Biofuel production, Edible oil processing, Renewable energy monitoring, Water treatment, Irrigation
• Difficulty: Intermediate to Advanced

Python-based parametric aircraft design

• Tech Stack: Python, CadQuery, 3D modeling
• Features: Parametric design, 7-phase learning path, Foundations to optimization
• Difficulty: Intermediate to Advanced

HIPAA-conscious medical document management via WhatsApp

• Tech Stack: Python, WhatsApp API, Secure storage
• Features: Document management, Metadata collection, Secure retrieval
• Difficulty: Intermediate

Dijkstra's shortest path and graph algorithms

• Tech Stack: Python
• Features: Graph algorithms, Shortest path, Academic documentation
• Difficulty: Intermediate

Complete sorting algorithm implementations with visualizations

• Algorithms: Bubble, Selection, Insertion, Merge, Quick, Radix sort
• Features: Animated visualizations, Performance comparisons
• Difficulty: Beginner to Intermediate

Software design patterns with practical examples

• Patterns: Factory, Creational patterns
• Examples: Employee management system
• Difficulty: Intermediate

Flask and FastAPI examples with various integrations

• Tech Stack: Python, Flask, FastAPI, Elasticsearch, SQLAlchemy
• Features:
  • Keyword processing
  • Elasticsearch integration
  • Blog API with full CRUD
  • Database persistence
• Difficulty: Beginner to Intermediate

Production-quality system implementations - Located in oracle-job-prep/src/system_building_interviews

• Web Crawler
• Rate Limiter
• Banking System
• SQL Engine
• Key-Value Store
• Kubernetes Scheduler
• And 5 more production systems

# Core requirements
Python 3.8+
pip (Python package manager)
Git

# Optional (depending on project)
Docker
Node.js
Oracle Database 23ai/26ai
Go 1.19+

1. Clone the repository

git clone https://github.com/smaruf/python-ai-course.git
cd python-ai-course

2. Choose a project (see recommendations below)

3. Install dependencies

cd <project-directory>
pip install -r requirements.txt

4. Follow the project-specific README for detailed instructions

Recommended starting sequence for programming beginners

1. Sorting Algorithms - Learn basic algorithms
2. Monte Carlo Simulation - Understand probability and randomness
3. Web Applications - Build your first web app
4. Genome Algorithms - Apply algorithms to real problems

For developers with Python fundamentals

1. Design Patterns - Software engineering patterns
2. Algorithms & Data Structures - Graph algorithms
3. AI Development Project (Levels 1-2) - Start with AI
4. Fintech Tools - Complex system design
5. Oracle Job Prep - Database and AI integration

For experienced developers seeking mastery

1. NASDAQ CSE Simulator - Complex financial systems
2. AI Development Project (Levels 3-4) - Advanced AI
3. System Building Interviews - Production systems
4. NASDAQ CSE Go - High-performance systems
5. Drone 3D Design - Advanced engineering

1. AI Development Project
2. Oracle AI Developer Prep
3. LangChain Standalone
4. AI Sync-Async Guide

1. Fintech Tools
2. NASDAQ CSE Python
3. NASDAQ CSE Go
4. Bayesian Stats

1. Philomath AI - All Modules
2. Algorithms & Data Structures
3. Physics Deep Learning
4. Drone 3D Design

Contributions are welcome! Each project has its own contributing guidelines. Please:

1. Fork the repository
2. Create a feature branch
3. Add tests for new features
4. Ensure all tests pass
5. Submit a pull request

See the LICENSE file for details.

• Issues: Report bugs or request features via GitHub issues
• Discussions: Join community discussions
• Documentation: Each project includes comprehensive README and guides

Ready to start learning? 🎓 Choose a learning path above or dive into any project that interests you!