> ## Documentation Index
> Fetch the complete documentation index at: https://python4ai.codewithsiva.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Resources

> Your next learning steps

<Tip>
  📚 **Don't forget!** You can [download all course resources](https://datalumina.gumroad.com/l/qlhkx) including code examples, cheat sheets, and project templates. It's free - just enter \$0 at checkout!
</Tip>

## Course Datasets & Notebooks

Download the datasets and student exercise notebooks used throughout the course directly to your local system:

<CardGroup cols={2}>
  <Card title="student_dataset.csv" icon="file-csv" href="/public/data/student_dataset.csv">
    Student performance dataset used in the Pandas and visualization tutorials.
  </Card>

  <Card title="obesity_prediction.csv" icon="file-csv" href="/public/data/obesity_prediction.csv">
    Obesity prediction dataset used for data analysis and modeling exercises.
  </Card>
</CardGroup>

### Jupyter Notebooks

Download the student exercises and tutorial notebooks to code locally:

<CardGroup cols={3}>
  <Card title="NumPy Practice" icon="code" href="/public/notebooks/numpy_student_exercise.ipynb">
    Practice problems for NumPy arrays.
  </Card>

  <Card title="NumPy Tutorial" icon="book-bookmark" href="/public/notebooks/numpy_tutorial.ipynb">
    Reference notebook for NumPy.
  </Card>

  <Card title="Pandas Practice" icon="code" href="/public/notebooks/pandas_student_exercise.ipynb">
    Data manipulation practice with Pandas.
  </Card>

  <Card title="Pandas Tutorial" icon="book-bookmark" href="/public/notebooks/pandas-2-0-1-tutorial.ipynb">
    Comprehensive Pandas tutorial.
  </Card>

  <Card title="Matplotlib Practice" icon="chart-simple" href="/public/notebooks/matplotlib_student_exercise.ipynb">
    Practice plotting with Matplotlib.
  </Card>

  <Card title="Seaborn Practice" icon="chart-simple" href="/public/notebooks/seaborn_student_exercise.ipynb">
    Statistical visualizations with Seaborn.
  </Card>

  <Card title="Visualization Guide" icon="chart-line" href="/public/notebooks/visualization_student_exercise.ipynb">
    Full visualization guide student exercise.
  </Card>

  <Card title="RAG Notebook" icon="brain" href="/public/notebooks/rag_notebook.ipynb">
    Retrieval-Augmented Generation tutorial.
  </Card>
</CardGroup>

## Choose your next adventure

Now that you have a solid Python foundation, it's time to specialize. Choose one of these learning tracks based on your interests:

<CardGroup cols={2}>
  <Card title="Machine Learning Track" icon="youtube" href="https://youtube.com/playlist?list=YOUR-ML-PLAYLIST-ID">
    Build an exercise classifier with sensor data
  </Card>

  <Card title="AI Agents Track" icon="youtube" href="https://youtube.com/playlist?list=YOUR-AGENTS-PLAYLIST-ID">
    Create intelligent agents with GenAI
  </Card>
</CardGroup>

<Tip>
  **Can't decide?**

  * Choose **AI Agents** if you want to build applications quickly
  * Choose **Machine Learning** if you want to understand how AI works fundamentally
</Tip>

## Join the community

Learning is better together! Join our community to:

* Share your projects
* Get help when stuck
* Connect with other learners
* Stay updated on new content

<Card title="Join Discord" icon="discord" href="https://discord.gg/YOUR-DISCORD-INVITE">
  Connect with fellow learners
</Card>