--- title: "Proceedings of the Python in Science Conferences 2010" description: "Proceedings of the Python in Science Conferences 2010 — accepted papers: 2 papers in the Elamur Research library, with our summaries…" canonical: "https://research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/2010/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/2010/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Proceedings of the Python in Science…](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/) / 2010 # Proceedings of the Python in Science Conferences 2010 — accepted papers Proceedings of the Python in Science Conferences 2010 is the 2010 edition of the Proceedings of the Python in Science Conferences. OpenAlex lists 19 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**19** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/2010/#works) · [**17,683** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/2010/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[Data Structures for Statistical Computing in Python](https://md.research.elamur.ai/free/en/papers/mckinney-2010-data-structures-statistical-computing-python/)**Wes McKinney*11,032 citations · our summary* 2. **[Statsmodels: Econometric and Statistical Modeling with Python](https://md.research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/)**Skipper Seabold, Josef Perktold*6,465 citations · our summary* 3. **[Theano: A CPU and GPU Math Compiler in Python ↗](https://doi.org/10.25080/majora-92bf1922-003)**James Bergstra, Olivier Breuleux, Frédéric Bastien et al.*1,052 citations* 4. **[Proceedings of the 9th Python in Science Conference ↗](https://doi.org/10.25080/majora-92bf1922-012)***125 citations* 5. **[SpacePy - A Python-based Library of Tools for the Space Sciences ↗](https://doi.org/10.25080/majora-92bf1922-00c)**Steven K. Morley, Daniel T. Welling, Josef Koller et al.*50 citations* 6. **[Divisi: Learning from Semantic Networks and Sparse SVD ↗](https://doi.org/10.25080/majora-92bf1922-002)**Rob Speer, Kenneth C. Arnold, Catherine Havasi*7 citations* 7. **[PySPH: A Python Framework for Smoothed Particle Hydrodynamics ↗](https://doi.org/10.25080/majora-92bf1922-00f)**Prabhu Ramachandran, Chandrashekhar Suresh Kaushik*4 citations* 8. **[Weather Forecast Accuracy Analysis ↗](https://doi.org/10.25080/majora-92bf1922-006)**Eric Floehr*4 citations* 9. **[Keeping the Chandra Satellite Cool with Python ↗](https://doi.org/10.25080/majora-92bf1922-000)**Tom Aldcroft*3 citations* 10. **[Modeling Sudoku Puzzles with Python ↗](https://doi.org/10.25080/majora-92bf1922-009)**Sean Davis, Matthew Henderson, Andrew Smith*1 citation* ## All accepted papers (19) The most cited first; 2 with our summary link to their page here, the others to the original. 1. **[Data Structures for Statistical Computing in Python](https://md.research.elamur.ai/free/en/papers/mckinney-2010-data-structures-statistical-computing-python/)**Wes McKinney*11,032 citations · our summary* 2. **[Statsmodels: Econometric and Statistical Modeling with Python](https://md.research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/)**Skipper Seabold, Josef Perktold*6,465 citations · our summary* 3. **[Theano: A CPU and GPU Math Compiler in Python ↗](https://doi.org/10.25080/majora-92bf1922-003)**James Bergstra, Olivier Breuleux, Frédéric Bastien et al.*1,052 citations* 4. **[Proceedings of the 9th Python in Science Conference ↗](https://doi.org/10.25080/majora-92bf1922-012)***125 citations* 5. **[SpacePy - A Python-based Library of Tools for the Space Sciences ↗](https://doi.org/10.25080/majora-92bf1922-00c)**Steven K. Morley, Daniel T. Welling, Josef Koller et al.*50 citations* 6. **[Divisi: Learning from Semantic Networks and Sparse SVD ↗](https://doi.org/10.25080/majora-92bf1922-002)**Rob Speer, Kenneth C. Arnold, Catherine Havasi*7 citations* 7. **[PySPH: A Python Framework for Smoothed Particle Hydrodynamics ↗](https://doi.org/10.25080/majora-92bf1922-00f)**Prabhu Ramachandran, Chandrashekhar Suresh Kaushik*4 citations* 8. **[Weather Forecast Accuracy Analysis ↗](https://doi.org/10.25080/majora-92bf1922-006)**Eric Floehr*4 citations* 9. **[Keeping the Chandra Satellite Cool with Python ↗](https://doi.org/10.25080/majora-92bf1922-000)**Tom Aldcroft*3 citations* 10. **[Modeling Sudoku Puzzles with Python ↗](https://doi.org/10.25080/majora-92bf1922-009)**Sean Davis, Matthew Henderson, Andrew Smith*1 citation* 11. **[Numerical Pyromaniacs: The Use of Python in Fire Research ↗](https://doi.org/10.25080/majora-92bf1922-00d)**Kristopher J. Overholt*1 citation* 12. **[A High Performance Robot Vision Algorithm Implemented in Python ↗](https://doi.org/10.25080/majora-92bf1922-004)**Steven C. Colbert, Gregor Franz, Konrad Wöllhaf et al. 13. **[A Programmatic Interface for Particle Plasma Simulation in Python ↗](https://doi.org/10.25080/majora-92bf1922-00e)**Min Ragan-Kelley, John P Verboncoeur 14. **[Astrodata ↗](https://doi.org/10.25080/majora-92bf1922-001)**Craig R. Allen 15. **[Audio-Visual Speech Recognition using SciPy ↗](https://doi.org/10.25080/majora-92bf1922-010)**Helge Reikeras, Ben M. Herbst, Johan A. du Preez et al. 16. **[Protein Folding with Python on Supercomputers ↗](https://doi.org/10.25080/majora-92bf1922-00b)**Jan H. Meinke 17. **[Rebuilding the Hubble Exposure Time Calculator ↗](https://doi.org/10.25080/majora-92bf1922-007)**P. Greenfield, Ivo Busko, Rosa Diaz et al. 18. **[Unusual Relationships: Python and Weaver Birds ↗](https://doi.org/10.25080/majora-92bf1922-005)**Kadambari Devarajan, María Ángela Echeverry-Gálvis, Rajmonda S. Caceres et al. 19. **[Using Python with Smoke and JWST Mirrors ↗](https://doi.org/10.25080/majora-92bf1922-008)**W. Hack, P. Greenfield, Babak Saif et al. ## Papers with our summary in our library (2) The most cited first (OpenAlex citations plus our library's). 1. **[Data structures for statistical computing in Python](https://md.research.elamur.ai/free/en/papers/mckinney-2010-data-structures-statistical-computing-python/) [Proceedings of the Python in Science Conferences](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/)**Wes McKinney*2010 · 11,143 citations* 2. **[Statsmodels: econometric and statistical modeling with Python](https://md.research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/) [Proceedings of the Python in Science Conferences](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/)**Skipper Seabold, Josef Perktold*2010 · 6,540 citations* ## Fields [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**American University** Washington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/american-university/) works and citations from OpenAlex and our library. - [↑ back to Proceedings of the Python in Science Conferences](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-python-in-science-conferences/)