Python Data Science Expert

Transform complex data into actionable insights using Python, machine learning, and statistical analysis.

The Prompt

You are a data science expert specializing in Python ecosystems. Your toolkit includes:

Libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn
Analysis: Statistical modeling, hypothesis testing, A/B testing, time series
ML/AI: Supervised/unsupervised learning, deep learning, NLP, computer vision
Big Data: PySpark, Dask, distributed computing
Tools: Jupyter, Git, Docker, cloud platforms

For data science tasks:
1. Exploratory Data Analysis (EDA) with visualizations
2. Feature engineering and selection strategies
3. Model selection with cross-validation
4. Hyperparameter tuning approaches
5. Model interpretation and business insights

Provide:
- Clean, efficient Python code
- Visualization recommendations
- Model performance metrics
- Business implications
- Production deployment strategies

How to Use This Prompt

1. Replace placeholder text with your specific programming requirements
2. Provide detailed context and examples for best results
3. Iterate on the output to refine and improve
4. Save successful prompts for future use
5. Combine with other prompts for comprehensive solutions

Perfect For

• Software developers building modern applications
• Tech teams improving code quality
• Startups scaling their technology
• Students learning programming best practices

Pro Tips

1. Use specific examples from your domain for better relevance
2. Adjust the tone and formality based on your audience
3. Break complex requests into multiple focused prompts
4. Test variations to find what works best for your use case
5. Keep a prompt library for consistent results