Abstract is missing.
- PrefaceAndy Terrel, Jonathan Rocher, Stéfan van der Walt, James Bergstra. 1 [doi]
- Scientific Computing with SciPy for Undergraduate Physics MajorsG. William Baxter. 2-4 [doi]
- BCE: Berkeley's Common Scientific Compute Environment for Research and EducationDav Clark, Aaron Culich, Brian Hamlin, Ryan Lovett. 5-12 [doi]
- Measuring rainshafts: Bringing Python to bear on remote sensing dataScott M. Collis, Scott Giangrande, Jonathan J. Helmus, Di Wu, Ann Fridlind, Marcus van Lier-Walqui, Adam Theisen. 13-18 [doi]
- Teaching numerical methods with IPython notebooks and inquiry-based learningDavid I. Ketcheson. 19-24 [doi]
- Project-based introduction to scientific computing for physics majorsJennifer Klay. 25-31 [doi]
- Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-LearnBrent Komer, James Bergstra, Chris Eliasmith. 32-37 [doi]
- Python Coding of Geospatial Processing in Web-based Mapping ApplicationsJames A. Kuiper, Andrew J. Ayers, Michael E. Holm, Michael J. Nowak. 38-44 [doi]
- Scaling Polygon Adjacency Algorithms to Big Data Geospatial AnalysisJason Laura, Sergio J. Rey. 45-50 [doi]
- Campaign for IT literacy through FOSS and Spoken TutorialsKannan M. Moudgalya. 51-58 [doi]
- Python for research and teaching economicsDavid R. Pugh. 59-64 [doi]
- Validated numerics with Python: the ValidiPy packageDavid P. Sanders, Luis Benet. 65-71 [doi]
- Creating a browser-based virtual computer lab for classroom instructionRamalingam Saravanan. 72-78 [doi]
- TracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASSKristen M. Thyng, Robert D. Hetland. 79-84 [doi]
- Frequentism and Bayesianism: A Python-driven PrimerJake VanderPlas. 85-93 [doi]
- Blaze: Building A Foundation for Array-Oriented Computing in PythonMark Wiebe, Matthew Rocklin, Tyler J. Alumbaugh, Andy R. Terrel. 94-97 [doi]
- Simulating X-ray Observations with PythonJohn A. ZuHone, Veronica Biffi, Eric J. Hallman, Scott W. Randall, Adam R. Foster, Christian Schmid. 98 [doi]