Journey To Python Dev

I've been working over the weekend in Django, and I've decided to dedicate myself to becoming a Python developer. My sidequest learning will be centered around 3 - 4 Projects that interest me, while also allowing me to gain strong skills in a variety of tech stacks. The projects are as follows:

1. Data Analytics Dashboard for Historical Events:

       Purpose: Visualize historical data (e.g., major events, trends over time) using interactive charts.
   
       Tech Stack: Django (or Dash), Pandas, Plotly/Seaborn, and possibly a public API or web scraping for data collection.
   

2. Algorithmic Trading Simulator & Dashboard:

   Purpose: Create a bot that fetches real‑time market data (stocks/crypto) and backtests trading strategies. Display results on an interactive dashboard.
   
   Tech Stack: Django REST Framework for the backend API
   Backtrader or Zipline for backtesting strategies
   TA‑Lib for technical analysis
   A front‑end dashboard using Streamlit or Dash.
   

3. Anime Recommendation Engine:

   Purpose: Build a system that recommends shonen anime based on user preferences and viewing history using collaborative filtering or content-based filtering.
   
   Tech Stack: Django or Flask for the backend, scikit‑learn for recommendation algorithms, Pandas for data processing.
   

4. DevOps and Cloud Deployment Project:

   Purpose: Containerize one of your Django projects and set up a CI/CD pipeline to deploy it to a cloud platform (Heroku, AWS, or DigitalOcean).
   
   Tech Stack: Docker, GitHub Actions (or GitLab CI), and cloud deployment tools.