Best

1. Entire books or other large collections of notebooks on a topic
   • Introductory Tutorials
   • Programming and Computer Science
   • Statistics, Machine Learning and Data Science
   • Mathematics, Physics, Chemistry, Biology
   • Earth Science and Geo-Spatial data
   • Linguistics and Text Mining
   • Signal Processing
   • Engineering Education
2. Scientific computing and data analysis with the SciPy Stack
   • General topics in scientific computing
   • Social data
   • Psychology and Neuroscience
   • Machine Learning, Statistics and Probability
   • Physics, Chemistry and Biology
   • Economics and Finance
   • Earth science and geo-spatial data
   • Data visualization and plotting
   • Mathematics
   • Signal, Sound and Image Processing
   • Natural Language Processing
   • Pandas for data analysis
3. General Python Programming
4. Notebooks in languages other than Python
   • Julia
   • Haskell
   • Ruby
   • Perl
5. Miscellaneous topics about doing various things with the Notebook itself
6. Reproducible academic publications
7. Other publications using the Notebook
8. Data-driven journalism
9. Whimsical notebooks
10. Videos of IPython being used in the wild