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204 lines
11 KiB
204 lines
11 KiB
SciPy is an open source library of routines for science and engineering
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using Python. It is a community project sponsored by Enthought, Inc.
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SciPy originated with code contributions by Travis Oliphant, Pearu
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Peterson, and Eric Jones. Travis Oliphant and Eric Jones each contributed
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about half the initial code. Pearu Peterson developed f2py, which is the
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integral to wrapping the many Fortran libraries used in SciPy.
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Since then many people have contributed to SciPy, both in code development,
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suggestions, and financial support. Below is a partial list. If you've
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been left off, please email the "SciPy Developers List" <scipy-dev@python.org>.
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Please add names as needed so that we can keep up with all the contributors.
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Kumar Appaiah for Dolph Chebyshev window.
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Nathan Bell for sparsetools, help with scipy.sparse and scipy.splinalg.
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Robert Cimrman for UMFpack wrapper for sparse matrix module.
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David M. Cooke for improvements to system_info, and LBFGSB wrapper.
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Aric Hagberg for ARPACK wrappers, help with splinalg.eigen.
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Chuck Harris for Zeros package in optimize (1d root-finding algorithms).
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Prabhu Ramachandran for improvements to gui_thread.
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Robert Kern for improvements to stats and bug-fixes.
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Jean-Sebastien Roy for fmin_tnc code which he adapted from Stephen Nash's
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original Fortran.
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Ed Schofield for Maximum entropy and Monte Carlo modules, help with
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sparse matrix module.
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Travis Vaught for numerous contributions to annual conference and community
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web-site and the initial work on stats module clean up.
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Jeff Whitaker for Mac OS X support.
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David Cournapeau for bug-fixes, refactoring of fftpack and cluster,
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implementing the numscons and Bento build support, building Windows
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binaries and adding single precision FFT.
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Damian Eads for hierarchical clustering, dendrogram plotting,
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distance functions in spatial package, vq documentation.
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Anne Archibald for kd-trees and nearest neighbor in scipy.spatial.
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Pauli Virtanen for Sphinx documentation generation, online documentation
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framework and interpolation bugfixes.
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Josef Perktold for major improvements to scipy.stats and its test suite and
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fixes and tests to optimize.curve_fit and leastsq.
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David Morrill for getting the scoreboard test system up and running.
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Louis Luangkesorn for providing multiple tests for the stats module.
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Jochen Kupper for the zoom feature in the now-deprecated plt plotting module.
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Tiffany Kamm for working on the community web-site.
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Mark Koudritsky for maintaining the web-site.
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Andrew Straw for help with the web-page, documentation, packaging,
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testing and work on the linalg module.
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Stefan van der Walt for numerous bug-fixes, testing and documentation.
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Jarrod Millman for release management, community coordination, and code
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clean up.
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Pierre Gerard-Marchant for statistical masked array functionality.
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Alan McIntyre for updating SciPy tests to use the new NumPy test framework.
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Matthew Brett for work on the Matlab file IO, bug-fixes, and improvements
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to the testing framework.
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Gary Strangman for the scipy.stats package.
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Tiziano Zito for generalized symmetric and hermitian eigenvalue problem
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solver.
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Chris Burns for bug-fixes.
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Per Brodtkorb for improvements to stats distributions.
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Neilen Marais for testing and bug-fixing in the ARPACK wrappers.
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Johannes Loehnert and Bart Vandereycken for fixes in the linalg
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module.
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David Huard for improvements to the interpolation interface.
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David Warde-Farley for converting the ndimage docs to ReST.
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Uwe Schmitt for wrapping non-negative least-squares.
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Ondrej Certik for Debian packaging.
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Paul Ivanov for porting Numeric-style C code to the new NumPy API.
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Ariel Rokem for contributions on percentileofscore fixes and tests.
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Yosef Meller for tests in the optimization module.
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Ralf Gommers for release management, code clean up and improvements
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to doc-string generation.
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Bruce Southey for bug-fixes and improvements to scipy.stats.
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Ernest Adrogué for the Skellam distribution.
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Enzo Michelangeli for a fast kendall tau test.
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David Simcha for a fisher exact test.
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Warren Weckesser for bug-fixes, cleanups, and several new features.
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Fabian Pedregosa for linear algebra bug-fixes, new features and refactoring.
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Jake Vanderplas for wrapping ARPACK's generalized and shift-invert modes
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and improving its tests.
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Collin RM Stocks for wrapping pivoted QR decomposition.
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Martin Teichmann for improving scipy.special.ellipk & agm accuracy,
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and for linalg.qr_multiply.
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Jeff Armstrong for discrete state-space and linear time-invariant functionality
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in scipy.signal, and sylvester/riccati/lyapunov solvers in scipy.linalg.
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Mark Wiebe for fixing type casting after changes in Numpy.
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Andrey Smirnov for improvements to FIR filter design.
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Anthony Scopatz for help with code review and merging.
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Lars Buitinck for improvements to scipy.sparse and various other modules.
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Scott Sinclair for documentation improvements and some bug fixes.
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Gael Varoquaux for cleanups in scipy.sparse.
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Skipper Seabold for a fix to special.gammainc.
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Wes McKinney for a fix to special.gamma.
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Thouis (Ray) Jones for bug fixes in ndimage.
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Yaroslav Halchenko for a bug fix in ndimage.
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Thomas Robitaille for the IDL 'save' reader.
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Fazlul Shahriar for fixes to the NetCDF3 I/O.
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Chris Jordan-Squire for bug fixes, documentation improvements and
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scipy.special.logit & expit.
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Christoph Gohlke for many bug fixes and help with Windows specific issues.
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Jacob Silterra for cwt-based peak finding in scipy.signal.
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Denis Laxalde for the unified interface to minimizers in scipy.optimize.
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David Fong for the sparse LSMR solver.
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Andreas Hilboll for adding several new interpolation methods.
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Andrew Schein for improving the numerical precision of norm.logcdf().
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Robert Gantner for improving expm() implementation.
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Sebastian Werk for Halley's method in newton().
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Bjorn Forsman for contributing signal.bode().
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Tony S. Yu for ndimage improvements.
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Jonathan J. Helmus for work on ndimage.
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Alex Reinhart for documentation improvements.
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Patrick Varilly for cKDTree improvements.
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Sturla Molden for cKDTree improvements.
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Nathan Crock for bug fixes.
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Steven G. Johnson for Faddeeva W and erf* implementations.
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Lorenzo Luengo for whosmat() in scipy.io.
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Eric Moore for orthogonal polynomial recurrences in scipy.special.
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Jacob Stevenson for the basinhopping optimization algorithm
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Daniel Smith for sparse matrix functionality improvements
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Gustav Larsson for a bug fix in convolve2d.
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Alex Griffing for expm 2009, expm_multiply, expm_frechet,
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trust region optimization methods, and sparse matrix onenormest
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implementations, plus bugfixes.
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Nils Werner for signal windowing and wavfile-writing improvements.
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Kenneth L. Ho for the wrapper around the Interpolative Decomposition code.
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Juan Luis Cano for refactorings in lti, sparse docs improvements and some
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trivial fixes.
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Pawel Chojnacki for simple documentation fixes.
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Gert-Ludwig Ingold for contributions to special functions.
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Joris Vankerschaver for multivariate Gaussian functionality.
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Rob Falck for the SLSQP interface and linprog.
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Jörg Dietrich for the k-sample Anderson Darling test.
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Blake Griffith for improvements to scipy.sparse.
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Andrew Nelson for scipy.optimize.differential_evolution.
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Brian Newsom for work on ctypes multivariate integration.
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Nathan Woods for work on multivariate integration.
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Brianna Laugher for bug fixes.
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Johannes Kulick for the Dirichlet distribution.
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Bastian Venthur for bug fixes.
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Alex Rothberg for stats.combine_pvalues.
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Brandon Liu for stats.combine_pvalues.
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Clark Fitzgerald for namedtuple outputs in scipy.stats.
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Florian Wilhelm for usage of RandomState in scipy.stats distributions.
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Robert T. McGibbon for Levinson-Durbin Toeplitz solver, Hessian information
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from L-BFGS-B.
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Alex Conley for the Exponentially Modified Normal distribution.
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Abraham Escalante for contributions to scipy.stats
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Johannes Ballé for the generalized normal distribution.
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Irvin Probst (ENSTA Bretagne) for pole placement.
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Ian Henriksen for Cython wrappers for BLAS and LAPACK
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Fukumu Tsutsumi for bug fixes.
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J.J. Green for interpolation bug fixes.
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François Magimel for documentation improvements.
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Josh Levy-Kramer for the log survival function of the hypergeometric distribution
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Will Monroe for bug fixes.
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Bernardo Sulzbach for bug fixes.
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Alexander Grigorevskiy for adding extra LAPACK least-square solvers and
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modifying linalg.lstsq function accordingly.
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Sam Lewis for enhancements to the basinhopping module.
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Tadeusz Pudlik for documentation and vectorizing spherical Bessel functions.
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Philip DeBoer for wrapping random SO(N) and adding random O(N) and
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correlation matrices in scipy.stats.
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Tyler Reddy and Nikolai Nowaczyk for scipy.spatial.SphericalVoronoi
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Bill Sacks for fixes to netcdf i/o.
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Kolja Glogowski for a bug fix in scipy.special.
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Surhud More for enhancing scipy.optimize.curve_fit to accept covariant errors
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on data.
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Antonio H. Ribeiro for implementing iirnotch, iirpeak functions and
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trust-exact and trust-constr optimization methods.
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Matt Haberland for the interior point linear programming method and
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SciPy development videos.
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Ilhan Polat for bug fixes on Riccati solvers.
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Sebastiano Vigna for code in the stats package related to Kendall's tau.
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John Draper for bug fixes.
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Alvaro Sanchez-Gonzalez for axis-dependent modes in multidimensional filters.
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Alessandro Pietro Bardelli for improvements to pdist/cdist and to related tests.
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Jonathan T. Siebert for bug fixes.
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Thomas Keck for adding new scipy.stats distributions used in HEP
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David Nicholson for bug fixes in spectral functions.
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Roman Feldbauer for improvements in scipy.sparse
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Dominic Antonacci for statistics documentation.
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David Hagen for the object-oriented ODE solver interface.
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Arno Onken for contributions to scipy.stats.
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Cathy Douglass for bug fixes in ndimage.
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Adam Cox for contributions to scipy.constants.
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Charles Masson for the Wasserstein and the Cramér-von Mises statistical
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distances.
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Felix Lenders for implementing trust-trlib method.
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Dezmond Goff for adding optional out parameter to pdist/cdist
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Nick R. Papior for allowing a wider choice of solvers
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Sean Quinn for the Moyal distribution
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Lars Grüter for contributions to peak finding in scipy.signal
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Jordan Heemskerk for exposing additional windowing functions in scipy.signal.
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Michael Tartre (Two Sigma Investments) for contributions to weighted distance functions.
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Institutions
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------------
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Enthought for providing resources and finances for development of SciPy.
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Brigham Young University for providing resources for students to work on SciPy.
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Agilent which gave a genereous donation for support of SciPy.
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UC Berkeley for providing travel money and hosting numerous sprints.
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The University of Stellenbosch for funding the development of
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the SciKits portal.
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Google Inc. for updating documentation of hypergeometric distribution.
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Datadog Inc. for contributions to scipy.stats.
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Urthecast Inc. for exposing additional windowing functions in scipy.signal.
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