Python AI Product Recommendation Roadmap

Stage 1 - Learn Python (Syntax, OOP, Libraries)
Stage 2 - Data Handling (Pandas, SQL, APIs)
Stage 3 - Study Recommendation Algorithms (Collaborative, Content-Based)
Stage 4 - Implement Models (Scikit-learn, TensorFlow)
Stage 5 - Create Real-Time API (Flask/Django)
Stage 6 - Build Dashboard (Frontend Integration)
Stage 7 - Test & Tune Models (A/B Testing)
Stage 8 - Deploy (Cloud Hosting, Monitoring)

🏆 – Python AI Product Recommendation

Python CSV to Database Converter Roadmap

Stage 1 - Python Basics (File Parsing, SQL Concepts)
Stage 2 - CSV Parsing (Pandas Basics)
Stage 3 - DB Integration (SQLAlchemy Setup)
Stage 4 - Data Type Mapping (Auto Detection)
Stage 5 - Error Handling (Validation, Chunking)
Stage 6 - Custom Mapping (Manual Overrides)
Stage 7 - Table Operations (Create, Append Logic)
Stage 8 - Performance Optimization (Large File Support)

🏆 – Python Database Converter

Python API Data Aggregator Roadmap

Stage 1 - Python Basics (OOP, File Handling)
Stage 2 - API Requests (Requests Library)
Stage 3 - Data Cleaning (Pandas for Normalization)
Stage 4 - Multi-Source Aggregation (Merge APIs Data)
Stage 5 - Error Handling (Retry Logic, Logging)
Stage 6 - Scheduling (Cron or APScheduler)
Stage 7 - Output Options (CSV, JSON, SQLAlchemy)
Stage 8 - Integration Tests (Mock APIs, Validation)

🏆 – Python API Data Aggregator

Python Game State Visualizer Roadmap

Stage 1 - Python Basics (OOP, Data Structures)
Stage 2 - Game State Management (State Machines)
Stage 3 - Visualization (Matplotlib, Pygame)
Stage 4 - Time Tracking (Timestamps, Logs)
Stage 5 - User Interaction (Tkinter, PyQt)
Stage 6 - Animation (Transitions, Changes)
Stage 7 - Export Data (CSV, JSON)
Stage 8 - Optimization (Efficient Rendering)

🏆 – Python Game State Visualizer

Python Data Integration Platform Roadmap

Stage 1 - Python Basics (OOP, File I/O)
Stage 2 - Source Connections (DBs, APIs, Files)
Stage 3 - Data Flows (Apache Airflow Basics)
Stage 4 - Transformations (Pandas Mapping)
Stage 5 - Error Handling (Validation, Retries)
Stage 6 - Scheduling (Airflow DAGs)
Stage 7 - Lineage Tracking (Metadata Logs)
Stage 8 - Integration (Incremental Data Sync)

🏆 – Python Data Integration Platform

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Complete Python Roadmap 🐍👇

1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler

2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators

3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements

4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries

5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions

6. File Handling
- Reading from and Writing to Files
- Handling Exceptions

7. Modules and Packages
- Importing Modules
- Creating Packages

8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction

9. Error Handling
- Try, Except Blocks
- Custom Exceptions

10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module

11. Decorators and Generators
- Function Decorators
- Generator Functions

12. Working with APIs
- Making HTTP Requests
- JSON Handling

13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations

14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates

15. Asynchronous Programming
- Async/Await
- Asyncio Library

16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)

17. Pythonic Code
- PEP 8 Style Guide
- Code Readability

18. Version Control (Git)
- Basic Commands
- Collaborative Development

19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib

20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation

21. Web Scraping
- BeautifulSoup
- Scrapy

22. RESTful API Development
- Flask/Django Rest Framework

23. CI/CD Basics
- Continuous Integration
- Continuous Deployment

24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)

25. Security Best Practices
- Input Validation
- Handling Sensitive Data

26. Code Documentation
- Docstrings
- Generating Documentation

27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences

Resources to Learn Python:

1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/

2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90

3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101

4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63

Join @free4unow_backup for more Python resources.

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Data Structure in Python