ProceedingsSciPy ProceedingsContent License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0)Credit must be given to the creatorProceedings of the 13th Python in Science ConferenceSciPy 2014, Austin, Texas July 6 - 12July 6, 2014https://doi.org/10.25080/Majora-14bd3278-011Download PDFDownload BibtexSupporting DocumentsOrganizationAccepted Papers¶PrefacePrefaceAndy Terrel, Jonathan Rocher, Stéfan van der Walt, +1https://doi.org/10.25080/Majora-14bd3278-000Scientific Computing with SciPy for Undergraduate Physics MajorsScientific Computing with SciPy for Undergraduate Physics MajorsG Baxterhttps://doi.org/10.25080/Majora-14bd3278-001BCE: Berkeley’s Common Scientific Compute Environment for Research and EducationBCE: Berkeley’s Common Scientific Compute Environment for Research and EducationDav Clark, Aaron Culich, Brian Hamlin, +1https://doi.org/10.25080/Majora-14bd3278-002Measuring rainshafts: Bringing Python to bear on remote sensing dataMeasuring rainshafts: Bringing Python to bear on remote sensing dataScott Collis, Scott Giangrande, Jonathan Helmus, +4https://doi.org/10.25080/Majora-14bd3278-003Teaching numerical methods with IPython notebooks and inquiry-based learningTeaching numerical methods with IPython notebooks and inquiry-based learningDavid Ketchesonhttps://doi.org/10.25080/Majora-14bd3278-004Project-based introduction to scientific computing for physics majorsProject-based introduction to scientific computing for physics majorsJennifer Klayhttps://doi.org/10.25080/Majora-14bd3278-005Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-LearnHyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-LearnBrent Komer, James Bergstra, Chris Eliasmithhttps://doi.org/10.25080/Majora-14bd3278-006Python Coding of Geospatial Processing in Web-based Mapping ApplicationsPython Coding of Geospatial Processing in Web-based Mapping ApplicationsJames Kuiper, Andrew Ayers, Michael Holm, +1https://doi.org/10.25080/Majora-14bd3278-007Scaling Polygon Adjacency Algorithms to Big Data Geospatial AnalysisScaling Polygon Adjacency Algorithms to Big Data Geospatial AnalysisJason Laura, Sergio Reyhttps://doi.org/10.25080/Majora-14bd3278-008Campaign for IT literacy through FOSS and Spoken TutorialsCampaign for IT literacy through FOSS and Spoken TutorialsKannan Moudgalyahttps://doi.org/10.25080/Majora-14bd3278-009Python for research and teaching economicsPython for research and teaching economicsDavid Pughhttps://doi.org/10.25080/Majora-14bd3278-00aValidated numerics with Python: the ValidiPy packageValidated numerics with Python: the ValidiPy packageDavid Sanders, Luis Benethttps://doi.org/10.25080/Majora-14bd3278-00bCreating a browser-based virtual computer lab for classroom instructionCreating a browser-based virtual computer lab for classroom instructionRamalingam Saravananhttps://doi.org/10.25080/Majora-14bd3278-00cTracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASSTracPy: Wrapping the Fortran Lagrangian trajectory model TRACMASSKristen Thyng, Robert Hetlandhttps://doi.org/10.25080/Majora-14bd3278-00dFrequentism and Bayesianism: A Python-driven PrimerFrequentism and Bayesianism: A Python-driven PrimerJake VanderPlashttps://doi.org/10.25080/Majora-14bd3278-00eBlaze: Building A Foundation for Array-Oriented Computing in PythonBlaze: Building A Foundation for Array-Oriented Computing in PythonMark Wiebe, Matthew Rocklin, TJ Alumbaugh, +1https://doi.org/10.25080/Majora-14bd3278-00fSimulating X-ray Observations with PythonSimulating X-ray Observations with PythonJohn ZuHone, Veronica Biffi, Eric Hallman, +3https://doi.org/10.25080/Majora-14bd3278-010Proceedings of the 13th Python in Science ConferenceOrganization
