Python Data Science Resources

Curated links, books, tutorials, datasets and communities to jumpstart (or deepen) your data science journey with Python.

• Coursera – Python for Data Science & AI Specialization
  A comprehensive, university‑backed curriculum covering Pandas, NumPy, scikit‑learn, and TensorFlow. Includes hands‑on projects.
  
• Real Python – Data Science Tutorials
  Free, well‑written articles that walk you through everything from data wrangling to model deployment.
  
• Pandas Official Docs
  The definitive reference for data manipulation, including examples, tips, and a quick‑start guide.
  
• scikit-learn Documentation
  Machine learning library with easy‑to‑read tutorials and API docs for classification, regression, clustering and more.
  
• UCI Machine Learning Repository
  A classic repository of datasets (classification, regression, clustering) used in academic research.
  
• Kaggle Datasets
  Browse millions of public datasets and participate in competitions to test your skills.
  
• Reddit – r/datascience
  Community discussion, job postings, and project feedback from real data scientists.
  
• scikit-learn Videos (GitHub)
  A curated list of screencasts that walk through scikit‑learn usage in Python.