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December 2019
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[ANN] pvlib-python v0.7.0: predicting power for solar energy
by Dr. Mark Alexander Mikofski PhD 19 Dec '19
by Dr. Mark Alexander Mikofski PhD 19 Dec '19
19 Dec '19
pvlib has a new major release, v0.7.0
Release Notes:
https://pvlib-python.readthedocs.io/en/v0.7.0/whatsnew.html
PyPI:
https://pypi.org/project/pvlib/
Read the Docs:
https://pvlib-python.readthedocs.io/en/latest/
GitHub:
https://github.com/pvlib/pvlib-python
Here's a quick summary:
- dropped support for Python-2.7
- new `ivtools` module for fitting solar panel parameters
- new implementation of the cloud wavelet variability model (WVM)
- new functions for temperature and incidence angle modifier (IAM) models
- updated solar panel and inverter parameters databases from National
Renewable Energy Lab (NREL)
Also note this is a major release so there are a few breaking API changes.
Users should probably read the release notes and check their code before
updating:
https://pvlib-python.readthedocs.io/en/v0.7.0/whatsnew.html#api-breaking-ch…
--
Mark Mikofski, PhD (2005)
*Fiat Lux*
1
0
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Hi all,
On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.4.1, which is a bug fix release.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at: https://github.com/scipy/scipy/releases/tag/v1.4.1
One of a few ways to install this release with pip:
pip install scipy==1.4.1
==========================
SciPy 1.4.1 Release Notes
==========================
SciPy 1.4.1 is a bug-fix release with no new features
compared to 1.4.0. Importantly, it aims to fix a problem
where an older version of pybind11 may cause a segmentation
fault when imported alongside incompatible libraries.
Authors
======
* Ralf Gommers
* Tyler Reddy
Issues closed for 1.4.1
---------------------------------
* `#11237 <https://github.com/scipy/scipy/issues/11237>`__: Seg fault when
importing torch
Pull requests for 1.4.1
--------------------------------
* `#11238 <https://github.com/scipy/scipy/pull/11238>`__: BLD: update
minimum pybind11 version to 2.4.0.
Checksums
=========
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1
0
19 Dec '19
from locale import seasons_greetings
seasons_greetings()
On behalf of the entire Python development community, and the currently serving Python release team in particular, I'm pleased to announce the unprecedented combined release of no less than four versions of Python. Let's dig in!
Python 3.8.1
Python 3.8.1 is the first maintenance release of Python 3.8.
The Python 3.8 series is the newest feature release of the Python language, and it contains many new features and optimizations. You can find Python 3.8.1 here:
https://www.python.org/downloads/release/python-381/ <https://www.python.org/downloads/release/python-381/>
See the “What’s New in Python 3.8 <https://docs.python.org/3.8/whatsnew/3.8.html>” document for more information about features included in the 3.8 series. Detailed information about all changes made in 3.8.1 can be found in its change log <https://docs.python.org/release/3.8.1/whatsnew/changelog.html#changelog>.
Maintenance releases for the 3.8 series will continue at regular bi-monthly intervals, with 3.8.2 planned for February 2020.
Python 3.7.6
Python 3.7.6, the next bugfix release of Python 3.7, is also available. You can find the release files, a link to the change log, and more information here:
https://www.python.org/downloads/release/python-376/ <https://www.python.org/downloads/release/python-376/>
Python 3.9.0a2
An early developer preview of Python 3.9 is also ready: https://www.python.org/downloads/release/python-390a2/ <https://www.python.org/downloads/release/python-390a2/>
Python 3.9 is still in development. This releasee, 3.9.0a2 is the second of six planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2020-05-18) and, if necessary, may be modified or deleted up until the release candidate phase (2020-08-10). Please keep in mind that this is a preview release and its use is not recommended for production environments.
Python 3.6.10
And, one more thing: Python 3.6.10, the next security fix release of Python 3.6, is also available:
https://www.python.org/downloads/release/python-3610/ <https://www.python.org/downloads/release/python-3610/>
We hope you enjoy all those!
Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation.
https://www.python.org/psf/ <https://www.python.org/psf/>
Your friendly release team,
Ned Deily
Steve Dower
Łukasz Langa
1
0
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Hash: SHA256
Hi all,
On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.4.0.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at:
https://github.com/scipy/scipy/releases/tag/v1.4.0
One of a few ways to install this release with pip:
pip install scipy==1.4.0
==========================
SciPy 1.4.0 Release Notes
==========================
SciPy 1.4.0 is the culmination of 6 months of hard work. It contains
many new features, numerous bug-fixes, improved test coverage and better
documentation. There have been a number of deprecations and API changes
in this release, which are documented below. All users are encouraged to
upgrade to this release, as there are a large number of bug-fixes and
optimizations. Before upgrading, we recommend that users check that
their own code does not use deprecated SciPy functionality (to do so,
run your code with ``python -Wd`` and check for ``DeprecationWarning`` s).
Our development attention will now shift to bug-fix releases on the
1.4.x branch, and on adding new features on the master branch.
This release requires Python 3.5+ and NumPy >=1.13.3 (for Python 3.5, 3.6),
>=1.14.5 (for Python 3.7), >= 1.17.3 (for Python 3.8)
For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required.
Highlights of this release
----------------------------------
- a new submodule, `scipy.fft`, now supersedes `scipy.fftpack`; this
means support for ``long double`` transforms, faster multi-dimensional
transforms, improved algorithm time complexity, release of the global
intepreter lock, and control over threading behavior
- support for ``pydata/sparse`` arrays in `scipy.sparse.linalg`
- substantial improvement to the documentation and functionality of
several `scipy.special` functions, and some new additions
- the generalized inverse Gaussian distribution has been added to
`scipy.stats`
- an implementation of the Edmonds-Karp algorithm in
`scipy.sparse.csgraph.maximum_flow`
- `scipy.spatial.SphericalVoronoi` now supports n-dimensional input,
has linear memory complexity, improved performance, and
supports single-hemisphere generators
New features
============
Infrastructure
--------------------
Documentation can now be built with ``runtests.py --doc``
A ``Dockerfile`` is now available in the ``scipy/scipy-dev`` repository to
facilitate getting started with SciPy development.
`scipy.constants` improvements
---------------------------------------------
`scipy.constants` has been updated with the CODATA 2018 constants.
`scipy.fft` added
------------------------
`scipy.fft` is a new submodule that supersedes the `scipy.fftpack`
submodule.
For the most part, this is a drop-in replacement for ``numpy.fft`` and
`scipy.fftpack` alike. With some important differences, `scipy.fft`:
- uses NumPy's conventions for real transforms (``rfft``). This means the
return value is a complex array, half the size of the full ``fft`` output.
This is different from the output of ``fftpack`` which returned a real
array
representing complex components packed together.
- the inverse real to real transforms (``idct`` and ``idst``) are
normalized
for ``norm=None`` in thesame way as ``ifft``. This means the identity
``idct(dct(x)) == x`` is now ``True`` for all norm modes.
- does not include the convolutions or pseudo-differential operators
from ``fftpack``.
This submodule is based on the ``pypocketfft`` library, developed by the
author of ``pocketfft`` which was recently adopted by NumPy as well.
``pypocketfft`` offers a number of advantages over fortran ``FFTPACK``:
- support for long double (``np.longfloat``) precision transforms.
- faster multi-dimensional transforms using vectorisation
- Bluestein’s algorithm removes the worst-case ``O(n^2)`` complexity of
``FFTPACK``
- the global interpreter lock (``GIL``) is released during transforms
- optional multithreading of multi-dimensional transforms via the
``workers``
argument
Note that `scipy.fftpack` has not been deprecated and will continue to be
maintained but is now considered legacy. New code is recommended to use
`scipy.fft` instead, where possible.
`scipy.fftpack` improvements
----------------------------------------
`scipy.fftpack` now uses pypocketfft to perform its FFTs, offering the same
speed and accuracy benefits listed for scipy.fft above but without the
improved API.
`scipy.integrate` improvements
-------------------------------------------
The function `scipy.integrate.solve_ivp` now has an ``args`` argument.
This allows the user-defined functions passed to the function to have
additional parameters without having to create wrapper functions or
lambda expressions for them.
`scipy.integrate.solve_ivp` can now return a ``y_events`` attribute
representing the solution of the ODE at event times
New ``OdeSolver`` is implemented --- ``DOP853``. This is a high-order
explicit
Runge-Kutta method originally implemented in Fortran. Now we provide a pure
Python implementation usable through ``solve_ivp`` with all its features.
`scipy.integrate.quad` provides better user feedback when break points are
specified with a weighted integrand.
`scipy.integrate.quad_vec` is now available for general purpose integration
of vector-valued functions
`scipy.interpolate` improvements
---------------------------------------------
`scipy.interpolate.pade` now handles complex input data gracefully
`scipy.interpolate.Rbf` can now interpolate multi-dimensional functions
`scipy.io` improvements
---------------------------------
`scipy.io.wavfile.read` can now read data from a `WAV` file that has a
malformed header, similar to other modern `WAV` file parsers
`scipy.io.FortranFile` now has an expanded set of available ``Exception``
classes for handling poorly-formatted files
`scipy.linalg` improvements
-------------------------------------
The function ``scipy.linalg.subspace_angles(A, B)`` now gives correct
results for complex-valued matrices. Before this, the function only returned
correct values for real-valued matrices.
New boolean keyword argument ``check_finite`` for `scipy.linalg.norm`;
whether
to check that the input matrix contains only finite numbers. Disabling may
give a performance gain, but may result in problems (crashes,
non-termination)
if the inputs do contain infinities or NaNs.
`scipy.linalg.solve_triangular` has improved performance for a C-ordered
triangular matrix
``LAPACK`` wrappers have been added for ``?geequ``, ``?geequb``,
``?syequb``,
and ``?heequb``
Some performance improvements may be observed due to an internal
optimization
in operations involving LAPACK routines via ``_compute_lwork``. This is
particularly true for operations on small arrays.
Block ``QR`` wrappers are now available in `scipy.linalg.lapack`
`scipy.ndimage` improvements
------------------------------------------
`scipy.optimize` improvements
------------------------------------------
It is now possible to use linear and non-linear constraints with
`scipy.optimize.differential_evolution`.
`scipy.optimize.linear_sum_assignment` has been re-written in C++ to
improve
performance, and now allows input costs to be infinite.
A ``ScalarFunction.fun_and_grad`` method was added for convenient
simultaneous
retrieval of a function and gradient evaluation
`scipy.optimize.minimize` ``BFGS`` method has improved performance by
avoiding
duplicate evaluations in some cases
Better user feedback is provided when an objective function returns an array
instead of a scalar.
`scipy.signal` improvements
--------------------------------------
Added a new function to calculate convolution using the overlap-add method,
named `scipy.signal.oaconvolve`. Like `scipy.signal.fftconvolve`, this
function supports specifying dimensions along which to do the convolution.
`scipy.signal.cwt` now supports complex wavelets.
The implementation of ``choose_conv_method`` has been updated to reflect
the
new FFT implementation. In addition, the performance has been significantly
improved (with rather drastic improvements in edge cases).
The function ``upfirdn`` now has a ``mode`` keyword argument that can be
used
to select the signal extension mode used at the signal boundaries. These
modes
are also available for use in ``resample_poly`` via a newly added
``padtype``
argument.
`scipy.signal.sosfilt` now benefits from Cython code for improved
performance
`scipy.signal.resample` should be more efficient by leveraging ``rfft`` when
possible
`scipy.sparse` improvements
---------------------------------------
It is now possible to use the LOBPCG method in `scipy.sparse.linalg.svds`.
`scipy.sparse.linalg.LinearOperator` now supports the operation ``rmatmat``
for adjoint matrix-matrix multiplication, in addition to ``rmatvec``.
Multiple stability updates enable float32 support in the LOBPCG eigenvalue
solver for symmetric and Hermitian eigenvalues problems in
``scipy.sparse.linalg.lobpcg``.
A solver for the maximum flow problem has been added as
`scipy.sparse.csgraph.maximum_flow`.
`scipy.sparse.csgraph.maximum_bipartite_matching` now allows non-square
inputs,
no longer requires a perfect matching to exist, and has improved
performance.
`scipy.sparse.lil_matrix` conversions now perform better in some scenarios
Basic support is available for ``pydata/sparse`` arrays in
`scipy.sparse.linalg`
`scipy.sparse.linalg.spsolve_triangular` now supports the ``unit_diagonal``
argument to improve call signature similarity with its dense counterpart,
`scipy.linalg.solve_triangular`
``assertAlmostEqual`` may now be used with sparse matrices, which have added
support for ``__round__``
`scipy.spatial` improvements
---------------------------------------
The bundled Qhull library was upgraded to version 2019.1, fixing several
issues. Scipy-specific patches are no longer applied to it.
`scipy.spatial.SphericalVoronoi` now has linear memory complexity, improved
performance, and supports single-hemisphere generators. Support has also
been
added for handling generators that lie on a great circle arc (geodesic
input)
and for generators in n-dimensions.
`scipy.spatial.transform.Rotation` now includes functions for calculation
of a
mean rotation, generation of the 3D rotation groups, and reduction of
rotations
with rotational symmetries.
`scipy.spatial.transform.Slerp` is now callable with a scalar argument
`scipy.spatial.voronoi_plot_2d` now supports furthest site Voronoi diagrams
`scipy.spatial.Delaunay` and `scipy.spatial.Voronoi` now have attributes
for tracking whether they are furthest site diagrams
`scipy.special` improvements
-----------------------------------------
The Voigt profile has been added as `scipy.special.voigt_profile`.
A real dispatch has been added for the Wright Omega function
(`scipy.special.wrightomega`).
The analytic continuation of the Riemann zeta function has been added. (The
Riemann zeta function is the one-argument variant of `scipy.special.zeta`.)
The complete elliptic integral of the first kind (`scipy.special.ellipk`)
is
now available in `scipy.special.cython_special`.
The accuracy of `scipy.special.hyp1f1` for real arguments has been improved.
The documentation of many functions has been improved.
`scipy.stats` improvements
-------------------------------------
`scipy.stats.multiscale_graphcorr` added as an independence test that
operates on high dimensional and nonlinear data sets. It has higher
statistical
power than other `scipy.stats` tests while being the only one that operates
on
multivariate data.
The generalized inverse Gaussian distribution (`scipy.stats.geninvgauss`)
has
been added.
It is now possible to efficiently reuse `scipy.stats.binned_statistic_dd`
with new values by providing the result of a previous call to the function.
`scipy.stats.hmean` now handles input with zeros more gracefully.
The beta-binomial distribution is now available in `scipy.stats.betabinom`.
`scipy.stats.zscore`, `scipy.stats.circmean`, `scipy.stats.circstd`, and
`scipy.stats.circvar` now support the ``nan_policy`` argument for enhanced
handling of ``NaN`` values
`scipy.stats.entropy` now accepts an ``axis`` argument
`scipy.stats.gaussian_kde.resample` now accepts a ``seed`` argument to
empower
reproducibility
`scipy.stats.kendalltau` performance has improved, especially for large
inputs,
due to improved cache usage
`scipy.stats.truncnorm` distribution has been rewritten to support much
wider
tails
Deprecated features
===================
`scipy` deprecations
-----------------------------
Support for NumPy functions exposed via the root SciPy namespace is
deprecated
and will be removed in 2.0.0. For example, if you use ``scipy.rand`` or
``scipy.diag``, you should change your code to directly use
``numpy.random.default_rng`` or ``numpy.diag``, respectively.
They remain available in the currently continuing Scipy 1.x release series.
The exception to this rule is using ``scipy.fft`` as a function --
:mod:`scipy.fft` is now meant to be used only as a module, so the ability to
call ``scipy.fft(...)`` will be removed in SciPy 1.5.0.
In `scipy.spatial.Rotation` methods ``from_dcm``, ``as_dcm`` were renamed
to
``from_matrix``, ``as_matrix`` respectively. The old names will be removed
in
SciPy 1.6.0.
Method ``Rotation.match_vectors`` was deprecated in favor of
``Rotation.align_vectors``, which provides a more logical and
general API to the same functionality. The old method
will be removed in SciPy 1.6.0.
Backwards incompatible changes
==========================
`scipy.special` changes
---------------------------------
The deprecated functions ``hyp2f0``, ``hyp1f2``, and ``hyp3f0`` have been
removed.
The deprecated function ``bessel_diff_formula`` has been removed.
The function ``i0`` is no longer registered with ``numpy.dual``, so that
``numpy.dual.i0`` will unconditionally refer to the NumPy version
regardless
of whether `scipy.special` is imported.
The function ``expn`` has been changed to return ``nan`` outside of its
domain of definition (``x, n < 0``) instead of ``inf``.
`scipy.sparse` changes
--------------------------------
Sparse matrix reshape now raises an error if shape is not two-dimensional,
rather than guessing what was meant. The behavior is now the same as before
SciPy 1.1.0.
``CSR`` and ``CSC`` sparse matrix classes should now return empty matrices
of the same type when indexed out of bounds. Previously, for some versions
of SciPy, this would raise an ``IndexError``. The change is largely
motivated
by greater consistency with ``ndarray`` and ``numpy.matrix`` semantics.
`scipy.signal` changes
-------------------------------
`scipy.signal.resample` behavior for length-1 signal inputs has been
fixed to output a constant (DC) value rather than an impulse, consistent
with
the assumption of signal periodicity in the FFT method.
`scipy.signal.cwt` now performs complex conjugation and time-reversal of
wavelet data, which is a backwards-incompatible bugfix for
time-asymmetric wavelets.
`scipy.stats` changes
------------------------------
`scipy.stats.loguniform` added with better documentation as (an alias for
``scipy.stats.reciprocal``). ``loguniform`` generates random variables
that are equally likely in the log space; e.g., ``1``, ``10`` and ``100``
are all equally likely if ``loguniform(10 ** 0, 10 ** 2).rvs()`` is used.
Other changes
=============
The ``LSODA`` method of `scipy.integrate.solve_ivp` now correctly detects
stiff
problems.
`scipy.spatial.cKDTree` now accepts and correctly handles empty input data
`scipy.stats.binned_statistic_dd` now calculates the standard deviation
statistic in a numerically stable way.
`scipy.stats.binned_statistic_dd` now throws an error if the input data
contains either ``np.nan`` or ``np.inf``. Similarly, in `scipy.stats` now
all
continuous distributions' ``.fit()`` methods throw an error if the input
data
contain any instance of either ``np.nan`` or ``np.inf``.
Authors
=======
* @endolith
* @wenhui-prudencemed +
* Abhinav +
* Anne Archibald
* ashwinpathak20nov1996 +
* Danilo Augusto +
* Nelson Auner +
* aypiggott +
* Christoph Baumgarten
* Peter Bell
* Sebastian Berg
* Arman Bilge +
* Benedikt Boecking +
* Christoph Boeddeker +
* Daniel Bunting
* Evgeni Burovski
* Angeline Burrell +
* Angeline G. Burrell +
* CJ Carey
* Carlos Ramos Carreño +
* Mak Sze Chun +
* Malayaja Chutani +
* Christian Clauss +
* Jonathan Conroy +
* Stephen P Cook +
* Dylan Cutler +
* Anirudh Dagar +
* Aidan Dang +
* dankleeman +
* Brandon David +
* Tyler Dawson +
* Dieter Werthmüller
* Joe Driscoll +
* Jakub Dyczek +
* Dávid Bodnár
* Fletcher Easton +
* Stefan Endres
* etienne +
* Johann Faouzi
* Yu Feng
* Isuru Fernando +
* Matthew H Flamm
* Martin Gauch +
* Gabriel Gerlero +
* Ralf Gommers
* Chris Gorgolewski +
* Domen Gorjup +
* Edouard Goudenhoofdt +
* Jan Gwinner +
* Maja Gwozdz +
* Matt Haberland
* hadshirt +
* Pierre Haessig +
* David Hagen
* Charles Harris
* Gina Helfrich +
* Alex Henrie +
* Francisco J. Hernandez Heras +
* Andreas Hilboll
* Lindsey Hiltner
* Thomas Hisch
* Min ho Kim +
* Gert-Ludwig Ingold
* jakobjakobson13 +
* Todd Jennings
* He Jia
* Muhammad Firmansyah Kasim +
* Andrew Knyazev +
* Holger Kohr +
* Mateusz Konieczny +
* Krzysztof Pióro +
* Philipp Lang +
* Peter Mahler Larsen +
* Eric Larson
* Antony Lee
* Gregory R. Lee
* Chelsea Liu +
* Jesse Livezey
* Peter Lysakovski +
* Jason Manley +
* Michael Marien +
* Nikolay Mayorov
* G. D. McBain +
* Sam McCormack +
* Melissa Weber Mendonça +
* Kevin Michel +
* mikeWShef +
* Sturla Molden
* Eric Moore
* Peyton Murray +
* Andrew Nelson
* Clement Ng +
* Juan Nunez-Iglesias
* Renee Otten +
* Kellie Ottoboni +
* Ayappan P
* Sambit Panda +
* Tapasweni Pathak +
* Oleksandr Pavlyk
* Fabian Pedregosa
* Petar Mlinarić
* Matti Picus
* Marcel Plch +
* Christoph Pohl +
* Ilhan Polat
* Siddhesh Poyarekar +
* Ioannis Prapas +
* James Alan Preiss +
* Yisheng Qiu +
* Eric Quintero
* Bharat Raghunathan +
* Tyler Reddy
* Joscha Reimer
* Antonio Horta Ribeiro
* Lucas Roberts
* rtshort +
* Josua Sassen
* Kevin Sheppard
* Scott Sievert
* Leo Singer
* Kai Striega
* Søren Fuglede Jørgensen
* tborisow +
* Étienne Tremblay +
* tuxcell +
* Miguel de Val-Borro
* Andrew Valentine +
* Hugo van Kemenade
* Paul van Mulbregt
* Sebastiano Vigna
* Pauli Virtanen
* Dany Vohl +
* Ben Walsh +
* Huize Wang +
* Warren Weckesser
* Anreas Weh +
* Joseph Weston +
* Adrian Wijaya +
* Timothy Willard +
* Josh Wilson
* Kentaro Yamamoto +
* Dave Zbarsky +
A total of 142 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully
complete.
Issues closed for 1.4.0
--------------------------------
* `#1255 <https://github.com/scipy/scipy/issues/1255>`__: maxiter broken
for Scipy.sparse.linalg gmres, in addition to...
* `#1301 <https://github.com/scipy/scipy/issues/1301>`__: consolidate
multipack.h from interpolate and integrate packages...
* `#1739 <https://github.com/scipy/scipy/issues/1739>`__: Single precision
FFT insufficiently accurate. (Trac #1212)
* `#1795 <https://github.com/scipy/scipy/issues/1795>`__: stats
test_distributions.py: replace old fuzz tests (Trac #1269)
* `#2233 <https://github.com/scipy/scipy/issues/2233>`__: fftpack segfault
with big arrays (Trac #1714)
* `#2434 <https://github.com/scipy/scipy/issues/2434>`__: rmatmat and the
sophistication of linear operator objects
* `#2477 <https://github.com/scipy/scipy/issues/2477>`__:
stats.truncnorm.rvs() does not give symmetric results for negative...
* `#2629 <https://github.com/scipy/scipy/issues/2629>`__: FFTpack is
unacceptably slow on non power of 2
* `#2883 <https://github.com/scipy/scipy/issues/2883>`__: UnboundLocalError
in scipy.interpolate.splrep
* `#2956 <https://github.com/scipy/scipy/issues/2956>`__: Feature Request:
axis argument for stats.entropy function
* `#3528 <https://github.com/scipy/scipy/issues/3528>`__: Segfault on
test_djbfft (possibly MKL-related?)
* `#3793 <https://github.com/scipy/scipy/issues/3793>`__: cwt should also
return complex array
* `#4464 <https://github.com/scipy/scipy/issues/4464>`__: TST:
residue/residuez/invres/invresz don't have any tests
* `#4561 <https://github.com/scipy/scipy/issues/4561>`__: BUG: tf filter
trailing and leading zeros in residuez
* `#4669 <https://github.com/scipy/scipy/issues/4669>`__: Rewrite sosfilt
to make a single loop over the input?
* `#5040 <https://github.com/scipy/scipy/issues/5040>`__: BUG: Empty data
handling of (c)KDTrees
* `#5112 <https://github.com/scipy/scipy/issues/5112>`__: boxcox transform
edge cases could use more care
* `#5441 <https://github.com/scipy/scipy/issues/5441>`__: scipy.stats.ncx2
fails for nc=0
* `#5502 <https://github.com/scipy/scipy/issues/5502>`__: args keyword not
handled in optimize.curve_fit
* `#6484 <https://github.com/scipy/scipy/issues/6484>`__: Qhull
segmentation fault
* `#6900 <https://github.com/scipy/scipy/issues/6900>`__:
linear_sum_assignment with infinite weights
* `#6966 <https://github.com/scipy/scipy/issues/6966>`__: Hypergeometric
Functions documentation is lacking
* `#6999 <https://github.com/scipy/scipy/issues/6999>`__: possible false
positive corruption check in compressed loadmat()
* `#7018 <https://github.com/scipy/scipy/issues/7018>`__: ydata that needs
broadcasting renders curve_fit unable to compute...
* `#7140 <https://github.com/scipy/scipy/issues/7140>`__: trouble with
documentation for windows
* `#7327 <https://github.com/scipy/scipy/issues/7327>`__:
interpolate.ndgriddata.griddata causes Python to crash rather...
* `#7396 <https://github.com/scipy/scipy/issues/7396>`__:
MatrixLinearOperator implements _adjoint(), but not _transpose()
* `#7400 <https://github.com/scipy/scipy/issues/7400>`__: BUG(?): special:
factorial and factorial2 return a 0-dimensional...
* `#7434 <https://github.com/scipy/scipy/issues/7434>`__: Testing of
scipy.stats continuous distributions misses 25 distributions
* `#7491 <https://github.com/scipy/scipy/issues/7491>`__: Several
scipy.stats distributions (fisk, burr, burr12, f) return...
* `#7759 <https://github.com/scipy/scipy/issues/7759>`__: Overflow in
stats.kruskal for large samples
* `#7906 <https://github.com/scipy/scipy/issues/7906>`__: Wrong result from
scipy.interpolate.UnivariateSpline.integral...
* `#8165 <https://github.com/scipy/scipy/issues/8165>`__: ENH: match
functionality of R for hmean
* `#8417 <https://github.com/scipy/scipy/issues/8417>`__:
optimimze.minimize(method='L-BFGS-B', options={'disp': True})...
* `#8535 <https://github.com/scipy/scipy/issues/8535>`__: Strictly
increasing requirement in UnivariateSpline
* `#8815 <https://github.com/scipy/scipy/issues/8815>`__: [BUG] GMRES:
number of iteration is only increased if callback...
* `#9207 <https://github.com/scipy/scipy/issues/9207>`__:
scipy.linalg.solve_triangular speed after scipy.linalg.lu_factor
* `#9275 <https://github.com/scipy/scipy/issues/9275>`__: new feature:
adding LOBPCG solver in svds in addition to ARPACK
* `#9403 <https://github.com/scipy/scipy/issues/9403>`__: range of
truncnorm.logpdf could be extended
* `#9429 <https://github.com/scipy/scipy/issues/9429>`__: gaussian_kde not
working with numpy matrix
* `#9515 <https://github.com/scipy/scipy/issues/9515>`__: ndimage
implementation relies on undefined behavior
* `#9643 <https://github.com/scipy/scipy/issues/9643>`__: arpack returns
singular values in ascending order
* `#9669 <https://github.com/scipy/scipy/issues/9669>`__: DOC:
matthew-brett/build-openblas has been retired
* `#9852 <https://github.com/scipy/scipy/issues/9852>`__:
scipy.spatial.ConvexHull exit with code 134, free(): invalid...
* `#9902 <https://github.com/scipy/scipy/issues/9902>`__:
scipy.stats.truncnorm second moment may be wrong
* `#9943 <https://github.com/scipy/scipy/issues/9943>`__: Custom sampling
methods in shgo do not work
* `#9947 <https://github.com/scipy/scipy/issues/9947>`__: DOC: Incorrect
documentation for \`nan_policy='propagate\` in...
* `#9994 <https://github.com/scipy/scipy/issues/9994>`__: BUG: sparse:
reshape method allows a shape containing an arbitrary...
* `#10036 <https://github.com/scipy/scipy/issues/10036>`__: Official Nelder
mead tutorial uses xtol instead of xatol, which...
* `#10078 <https://github.com/scipy/scipy/issues/10078>`__: possible to get
a better error message when objective function...
* `#10092 <https://github.com/scipy/scipy/issues/10092>`__: overflow in
truncnorm.rvs
* `#10121 <https://github.com/scipy/scipy/issues/10121>`__: A little
spelling mistake
* `#10126 <https://github.com/scipy/scipy/issues/10126>`__: inaccurate std
implementation in binned_statistic
* `#10161 <https://github.com/scipy/scipy/issues/10161>`__: Error in
documentation scipy.special.modstruve
* `#10195 <https://github.com/scipy/scipy/issues/10195>`__: Derivative of
spline with 'const' extrapolation is also extrapolted...
* `#10206 <https://github.com/scipy/scipy/issues/10206>`__: sparse matrices
indexing with scipy 1.3
* `#10236 <https://github.com/scipy/scipy/issues/10236>`__: Non-descriptive
error on type mismatch for functions of scipy.optimize...
* `#10258 <https://github.com/scipy/scipy/issues/10258>`__: LOBPCG
convergence failure if guess provided
* `#10262 <https://github.com/scipy/scipy/issues/10262>`__: distance matrix
lacks dtype checks / warnings
* `#10271 <https://github.com/scipy/scipy/issues/10271>`__: BUG: optimize
failure on wheels
* `#10277 <https://github.com/scipy/scipy/issues/10277>`__:
scipy.special.zeta(0) = NAN
* `#10292 <https://github.com/scipy/scipy/issues/10292>`__: DOC/REL: Some
sections of the release notes are not nested correctly.
* `#10300 <https://github.com/scipy/scipy/issues/10300>`__:
scipy.stats.rv_continuous.fit throws empty RuntimeError when...
* `#10319 <https://github.com/scipy/scipy/issues/10319>`__: events in
scipy.integrate.solve_ivp: How do I setup an events...
* `#10323 <https://github.com/scipy/scipy/issues/10323>`__: Adding more
low-level LAPACK wrappers
* `#10360 <https://github.com/scipy/scipy/issues/10360>`__: firwin2
inadvertently modifies input and may result in undefined...
* `#10388 <https://github.com/scipy/scipy/issues/10388>`__: BLD:
TestHerd::test_hetrd core dumps with Python-dbg
* `#10395 <https://github.com/scipy/scipy/issues/10395>`__: Remove warning
about output shape of zoom
* `#10403 <https://github.com/scipy/scipy/issues/10403>`__: DOC:
scipy.signal.resample ignores t parameter
* `#10421 <https://github.com/scipy/scipy/issues/10421>`__: Yeo-Johnson
power transformation fails with integer input data
* `#10422 <https://github.com/scipy/scipy/issues/10422>`__: BUG: scipy.fft
does not support multiprocessing
* `#10427 <https://github.com/scipy/scipy/issues/10427>`__: ENH: convolve
numbers should be updated
* `#10444 <https://github.com/scipy/scipy/issues/10444>`__: BUG:
scipy.spatial.transform.Rotation.match_vectors returns improper...
* `#10488 <https://github.com/scipy/scipy/issues/10488>`__: ENH: DCTs/DSTs
for scipy.fft
* `#10501 <https://github.com/scipy/scipy/issues/10501>`__: BUG:
scipy.spatial.HalfspaceIntersection works incorrectly
* `#10514 <https://github.com/scipy/scipy/issues/10514>`__: BUG: cKDTree
GIL handling is incorrect
* `#10535 <https://github.com/scipy/scipy/issues/10535>`__: TST: master
branch CI failures
* `#10588 <https://github.com/scipy/scipy/issues/10588>`__: scipy.fft and
numpy.fft inconsistency when axes=None and shape...
* `#10628 <https://github.com/scipy/scipy/issues/10628>`__: Scipy
python>3.6 Windows wheels don't ship msvcp\*.dll
* `#10733 <https://github.com/scipy/scipy/issues/10733>`__: DOC/BUG:
min_only result does not match documentation
* `#10774 <https://github.com/scipy/scipy/issues/10774>`__: min_only=true
djisktra infinite loop with duplicate indices
* `#10775 <https://github.com/scipy/scipy/issues/10775>`__:
UnboundLocalError in Radau when given a NaN
* `#10835 <https://github.com/scipy/scipy/issues/10835>`__: io.wavfile.read
unnecessarily raises an error for a bad wav header
* `#10838 <https://github.com/scipy/scipy/issues/10838>`__: Error in
documentation for scipy.linalg.lu_factor
* `#10875 <https://github.com/scipy/scipy/issues/10875>`__: DOC: Graphical
guides (using TikZ)
* `#10880 <https://github.com/scipy/scipy/issues/10880>`__: setting verbose
> 2 in minimize with trust-constr method leads...
* `#10887 <https://github.com/scipy/scipy/issues/10887>`__:
scipy.signal.signaltools._fftconv_faster has incorrect estimates
* `#10948 <https://github.com/scipy/scipy/issues/10948>`__: gammainc(0,x) =
nan but should be 1, gammaincc(0,x) = nan but...
* `#10952 <https://github.com/scipy/scipy/issues/10952>`__:
TestQRdelete_F.test_delete_last_p_col test failure
* `#10968 <https://github.com/scipy/scipy/issues/10968>`__: API: Change
normalized=False to normalize=True in Rotation
* `#10987 <https://github.com/scipy/scipy/issues/10987>`__: Memory leak in
shgo triangulation
* `#10991 <https://github.com/scipy/scipy/issues/10991>`__: Error running
openBlas probably missing a step
* `#11033 <https://github.com/scipy/scipy/issues/11033>`__: deadlock on osx
for python 3.8
* `#11041 <https://github.com/scipy/scipy/issues/11041>`__: Test failure in
wheel builds for TestTf2zpk.test_simple
* `#11089 <https://github.com/scipy/scipy/issues/11089>`__: Regression in
scipy.stats where distribution will not accept loc and scale parameters
* `#11100 <https://github.com/scipy/scipy/issues/11100>`__: BUG:
multiscale_graphcorr random state seeding and parallel use
* `#11121 <https://github.com/scipy/scipy/issues/11121>`__: Calls to
`scipy.interpolate.splprep` increase RAM usage.
* `#11125 <https://github.com/scipy/scipy/issues/11125>`__: BUG: segfault
when slicing a CSR or CSC sparse matrix with slice start index > stop index
* `#11198 <https://github.com/scipy/scipy/issues/11198>`__: BUG: sparse
eigs (arpack) shift-invert drops the smallest eigenvalue for some k
Pull requests for 1.4.0
-------------------------------
* `#4591 <https://github.com/scipy/scipy/pull/4591>`__: BUG, TST: Several
issues with scipy.signal.residue
* `#6629 <https://github.com/scipy/scipy/pull/6629>`__: ENH: sparse:
canonicalize on initialization
* `#7076 <https://github.com/scipy/scipy/pull/7076>`__: ENH: add complex
wavelet support to scipy.signal.cwt.
* `#8681 <https://github.com/scipy/scipy/pull/8681>`__: ENH add generalized
inverse Gaussian distribution to scipy.stats
* `#9064 <https://github.com/scipy/scipy/pull/9064>`__: BUG/ENH: Added
default _transpose into LinearOperator. Fixes...
* `#9215 <https://github.com/scipy/scipy/pull/9215>`__: ENH: Rbf
interpolation of large multi-dimensional data
* `#9311 <https://github.com/scipy/scipy/pull/9311>`__: ENH: Added voigt in
scipy.special.
* `#9642 <https://github.com/scipy/scipy/pull/9642>`__: ENH: integrate:
quad() for vector-valued functions
* `#9679 <https://github.com/scipy/scipy/pull/9679>`__: DOC: expand
docstring of exponweib distribution
* `#9684 <https://github.com/scipy/scipy/pull/9684>`__: TST: add ppc64le ci
testing
* `#9800 <https://github.com/scipy/scipy/pull/9800>`__: WIP : ENH:
Refactored _hungarian.py for speed and added a minimize/maximize…
* `#9847 <https://github.com/scipy/scipy/pull/9847>`__: DOC: Change
integrate tutorial to use solve_ivp instead of odeint
* `#9876 <https://github.com/scipy/scipy/pull/9876>`__: ENH: Use rfft when
possible in resampling
* `#9998 <https://github.com/scipy/scipy/pull/9998>`__: BUG: Do not remove
1s when calling sparse: reshape method #9994
* `#10002 <https://github.com/scipy/scipy/pull/10002>`__: ENH: adds
constraints for differential evolution
* `#10098 <https://github.com/scipy/scipy/pull/10098>`__: ENH: integrate:
add args argument to solve_ivp.
* `#10099 <https://github.com/scipy/scipy/pull/10099>`__: DOC: Add missing
docs for linprog unknown_options
* `#10104 <https://github.com/scipy/scipy/pull/10104>`__: BUG: Rewrite of
stats.truncnorm distribution.
* `#10105 <https://github.com/scipy/scipy/pull/10105>`__: MAINT improve
efficiency of rvs_ratio_uniforms in scipy.stats
* `#10107 <https://github.com/scipy/scipy/pull/10107>`__: TST:
dual_annealing set seed
* `#10108 <https://github.com/scipy/scipy/pull/10108>`__: ENH: stats:
improve kendall_tau cache usage
* `#10110 <https://github.com/scipy/scipy/pull/10110>`__: MAINT: _lib: Fix
a build warning.
* `#10114 <https://github.com/scipy/scipy/pull/10114>`__: FIX: only print
bounds when supported by minimizer (shgo)
* `#10115 <https://github.com/scipy/scipy/pull/10115>`__: TST: Add a test
with an almost singular design matrix for lsq_linear
* `#10118 <https://github.com/scipy/scipy/pull/10118>`__: MAINT: fix rdist
methods in scipy.stats
* `#10119 <https://github.com/scipy/scipy/pull/10119>`__: MAINT: improve
rvs of randint in scipy.stats
* `#10127 <https://github.com/scipy/scipy/pull/10127>`__: Fix typo in
record array field name (spatial-ckdtree-sparse_distance…
* `#10130 <https://github.com/scipy/scipy/pull/10130>`__: MAINT: ndimage:
Fix some compiler warnings.
* `#10131 <https://github.com/scipy/scipy/pull/10131>`__: DOC: Note the
solve_ivp args enhancement in the 1.4.0 release...
* `#10133 <https://github.com/scipy/scipy/pull/10133>`__: MAINT: add rvs
for semicircular in scipy.stats
* `#10138 <https://github.com/scipy/scipy/pull/10138>`__: BUG: special:
Invalid arguments to ellip_harm can crash Python.
* `#10139 <https://github.com/scipy/scipy/pull/10139>`__: MAINT: spatial:
Fix some compiler warnings in the file distance_wrap.c.
* `#10140 <https://github.com/scipy/scipy/pull/10140>`__: ENH: add handling
of NaN in RuntimeWarning except clause
* `#10142 <https://github.com/scipy/scipy/pull/10142>`__: DOC: return value
of scipy.special.comb
* `#10143 <https://github.com/scipy/scipy/pull/10143>`__: MAINT: Loosen
linprog tol
* `#10152 <https://github.com/scipy/scipy/pull/10152>`__: BUG: Fix custom
sampling input for shgo, add unittest
* `#10154 <https://github.com/scipy/scipy/pull/10154>`__: MAINT: add
moments and improve doc of mielke in scipy.stats
* `#10158 <https://github.com/scipy/scipy/pull/10158>`__: Issue #6999: read
zlib checksum before checking bytes read.
* `#10166 <https://github.com/scipy/scipy/pull/10166>`__: BUG: Correctly
handle broadcasted ydata in curve_fit pcov computation.
* `#10167 <https://github.com/scipy/scipy/pull/10167>`__: DOC: special: Add
missing factor of \`i\` to \`modstruve\` docstring
* `#10168 <https://github.com/scipy/scipy/pull/10168>`__: MAINT: stats: Fix
an incorrect comment.
* `#10169 <https://github.com/scipy/scipy/pull/10169>`__: ENH: optimize:
Clarify error when objective function returns...
* `#10172 <https://github.com/scipy/scipy/pull/10172>`__: DEV: Run tests in
parallel when --parallel flag is passed to...
* `#10173 <https://github.com/scipy/scipy/pull/10173>`__: ENH: Implement
DOP853 ODE integrator
* `#10176 <https://github.com/scipy/scipy/pull/10176>`__: Fixed typo
* `#10182 <https://github.com/scipy/scipy/pull/10182>`__: TST: fix test
issue for stats.pearsonr
* `#10184 <https://github.com/scipy/scipy/pull/10184>`__: MAINT: stats:
Simplify zmap and zscore (we can use keepdims now).
* `#10191 <https://github.com/scipy/scipy/pull/10191>`__: DOC: fix a
formatting issue in the scipy.spatial module docstring.
* `#10193 <https://github.com/scipy/scipy/pull/10193>`__: DOC: Updated
docstring for optimize.nnls
* `#10198 <https://github.com/scipy/scipy/pull/10198>`__: DOC, ENH:
special: Make \`hyp2f1\` references more specific
* `#10202 <https://github.com/scipy/scipy/pull/10202>`__: DOC: Format DST
and DCT definitions as latex equations
* `#10207 <https://github.com/scipy/scipy/pull/10207>`__: BUG: Compressed
matrix indexing should return a scalar
* `#10210 <https://github.com/scipy/scipy/pull/10210>`__: DOC: Update docs
for connection='weak' in connected_components
* `#10225 <https://github.com/scipy/scipy/pull/10225>`__: DOC: Clarify new
interfaces for legacy functions in 'optimize'
* `#10231 <https://github.com/scipy/scipy/pull/10231>`__: DOC, MAINT: gpg2
updates to release docs / pavement
* `#10235 <https://github.com/scipy/scipy/pull/10235>`__: LICENSE: split
license file in standard BSD 3-clause and bundled.
* `#10238 <https://github.com/scipy/scipy/pull/10238>`__: ENH: Add new
scipy.fft module using pocketfft
* `#10243 <https://github.com/scipy/scipy/pull/10243>`__: BUG: fix ARFF
reader regression with quoted values.
* `#10248 <https://github.com/scipy/scipy/pull/10248>`__: DOC: update
README file
* `#10255 <https://github.com/scipy/scipy/pull/10255>`__: CI: bump OpenBLAS
to match wheels
* `#10264 <https://github.com/scipy/scipy/pull/10264>`__: TST: add tests
for stats.tvar with unflattened arrays
* `#10280 <https://github.com/scipy/scipy/pull/10280>`__: MAINT: stats: Use
a constant value for sqrt(2/PI).
* `#10286 <https://github.com/scipy/scipy/pull/10286>`__: Development
Documentation Overhaul
* `#10290 <https://github.com/scipy/scipy/pull/10290>`__: MAINT: Deprecate
NumPy functions in SciPy root
* `#10291 <https://github.com/scipy/scipy/pull/10291>`__: FIX: Avoid
importing xdist when checking for availability
* `#10295 <https://github.com/scipy/scipy/pull/10295>`__: Disable
deprecated Numpy API in __odrpack.c
* `#10296 <https://github.com/scipy/scipy/pull/10296>`__: ENH: C++
extension for linear assignment problem
* `#10298 <https://github.com/scipy/scipy/pull/10298>`__: ENH: Made pade
function work with complex inputs
* `#10301 <https://github.com/scipy/scipy/pull/10301>`__: DOC: Fix critical
value significance levels in stats.anderson_ksamp
* `#10307 <https://github.com/scipy/scipy/pull/10307>`__: Minkowski
Distance Type Fix (issue #10262)
* `#10309 <https://github.com/scipy/scipy/pull/10309>`__: BUG: Pass
jac=None directly to lsoda
* `#10310 <https://github.com/scipy/scipy/pull/10310>`__: BUG: interpolate:
UnivariateSpline.derivative.ext is 'zeros'...
* `#10312 <https://github.com/scipy/scipy/pull/10312>`__: FIX: Fixing a
typo in a comment
* `#10314 <https://github.com/scipy/scipy/pull/10314>`__: scipy.spatial
enhancement request
* `#10315 <https://github.com/scipy/scipy/pull/10315>`__: DOC: Update
integration tutorial to solve_ivp
* `#10318 <https://github.com/scipy/scipy/pull/10318>`__: DOC: update the
example for PPoly.solve
* `#10333 <https://github.com/scipy/scipy/pull/10333>`__: TST: add tests
for stats.tvar with unflattened arrays
* `#10334 <https://github.com/scipy/scipy/pull/10334>`__: MAINT: special:
Remove deprecated \`hyp2f0\`, \`hyp1f2\`, and...
* `#10336 <https://github.com/scipy/scipy/pull/10336>`__: BUG:
linalg/interpolative: fix interp_decomp modifying input
* `#10341 <https://github.com/scipy/scipy/pull/10341>`__: BUG:
sparse.linalg/gmres: deprecate effect of callback on semantics...
* `#10344 <https://github.com/scipy/scipy/pull/10344>`__: DOC: improve
wording of mathematical formulation
* `#10345 <https://github.com/scipy/scipy/pull/10345>`__: ENH: Tiled QR
wrappers for scipy.linalg.lapack
* `#10350 <https://github.com/scipy/scipy/pull/10350>`__: MAINT: linalg:
Use the new fft subpackage in linalg.dft test...
* `#10351 <https://github.com/scipy/scipy/pull/10351>`__: BUG: Fix unstable
standard deviation calculation in histogram
* `#10353 <https://github.com/scipy/scipy/pull/10353>`__: Bug:
interpolate.NearestNDInterpolator (issue #10352)
* `#10357 <https://github.com/scipy/scipy/pull/10357>`__: DOC: linalg:
Refer to scipy.fft.fft (not fftpack) in the dft...
* `#10359 <https://github.com/scipy/scipy/pull/10359>`__: DOC: Update
roadmap now scipy.fft has been merged
* `#10361 <https://github.com/scipy/scipy/pull/10361>`__: ENH: Prefer
scipy.fft to scipy.fftpack in scipy.signal
* `#10371 <https://github.com/scipy/scipy/pull/10371>`__: DOC: Tweaks to
fft documentation
* `#10372 <https://github.com/scipy/scipy/pull/10372>`__: DOC: Fix typos
* `#10377 <https://github.com/scipy/scipy/pull/10377>`__: TST, MAINT:
adjustments for pytest 5.0
* `#10378 <https://github.com/scipy/scipy/pull/10378>`__: ENH: _lib: allow
new np.random.Generator in check_random_state
* `#10379 <https://github.com/scipy/scipy/pull/10379>`__: BUG: sparse: set
writeability to be forward-compatible with numpy>=1.17
* `#10381 <https://github.com/scipy/scipy/pull/10381>`__: BUG: Fixes
gh-7491, pdf at x=0 of fisk/burr/burr12/f distributions.
* `#10387 <https://github.com/scipy/scipy/pull/10387>`__: ENH:
optimize/bfgs: don't evaluate twice at initial point for...
* `#10392 <https://github.com/scipy/scipy/pull/10392>`__: [DOC] Add an
example for _binned_statistic_dd
* `#10396 <https://github.com/scipy/scipy/pull/10396>`__: Remove warning
about output shape of zoom
* `#10397 <https://github.com/scipy/scipy/pull/10397>`__: ENH: Add
check_finite to sp.linalg.norm
* `#10399 <https://github.com/scipy/scipy/pull/10399>`__: ENH: Add
__round__ method to sparse matrix
* `#10407 <https://github.com/scipy/scipy/pull/10407>`__: MAINT: drop
pybind11 from install_requires, it's only build-time...
* `#10408 <https://github.com/scipy/scipy/pull/10408>`__: TST: use
pytest.raises, not numpy assert_raises
* `#10409 <https://github.com/scipy/scipy/pull/10409>`__: CI: uninstall
nose on Travis
* `#10410 <https://github.com/scipy/scipy/pull/10410>`__: [ENH] ncx2
dispatch to chi2 when nc=0
* `#10411 <https://github.com/scipy/scipy/pull/10411>`__: TST: optimize:
test should use assert_allclose for fp comparisons
* `#10414 <https://github.com/scipy/scipy/pull/10414>`__: DOC: add pybind11
to the other part of quickstart guides
* `#10417 <https://github.com/scipy/scipy/pull/10417>`__: DOC: special:
don't mark non-ufuncs with a \`[+]\`
* `#10423 <https://github.com/scipy/scipy/pull/10423>`__: FIX: Use
pybind11::isinstace to check array dtypes
* `#10424 <https://github.com/scipy/scipy/pull/10424>`__: DOC: add doctest
example for binary data for ttest_ind_from_stats
* `#10425 <https://github.com/scipy/scipy/pull/10425>`__: ENH: Add missing
Hermitian transforms to scipy.fft
* `#10426 <https://github.com/scipy/scipy/pull/10426>`__: MAINT: Fix doc
build bugs
* `#10431 <https://github.com/scipy/scipy/pull/10431>`__: Update numpy
version for AIX
* `#10433 <https://github.com/scipy/scipy/pull/10433>`__: MAINT: Minor
fixes for the stats
* `#10434 <https://github.com/scipy/scipy/pull/10434>`__: BUG: special:
make \`ndtri\` return NaN outside domain of definition
* `#10435 <https://github.com/scipy/scipy/pull/10435>`__: BUG: Allow
integer input data in scipy.stats.yeojohnson
* `#10438 <https://github.com/scipy/scipy/pull/10438>`__: [DOC] Add example
for kurtosis
* `#10440 <https://github.com/scipy/scipy/pull/10440>`__: ENH: special:
make \`ellipk\` a ufunc
* `#10443 <https://github.com/scipy/scipy/pull/10443>`__: MAINT: ndimage:
malloc fail check
* `#10447 <https://github.com/scipy/scipy/pull/10447>`__: BLD: Divert
output from test compiles into a temporary directory
* `#10451 <https://github.com/scipy/scipy/pull/10451>`__: MAINT: signal:
malloc fail check
* `#10455 <https://github.com/scipy/scipy/pull/10455>`__: BUG: special: fix
values of \`hyperu\` for negative \`x\`
* `#10456 <https://github.com/scipy/scipy/pull/10456>`__: DOC: Added
comment clarifying the call for dcsrch.f in lbfgsb.f
* `#10457 <https://github.com/scipy/scipy/pull/10457>`__: BUG: Allow
ckdtree to accept empty data input
* `#10459 <https://github.com/scipy/scipy/pull/10459>`__: BUG:TST: Compute
lwork safely
* `#10460 <https://github.com/scipy/scipy/pull/10460>`__: [DOC] Add example
to entropy
* `#10461 <https://github.com/scipy/scipy/pull/10461>`__: DOC: Quickstart
Guide updates
* `#10462 <https://github.com/scipy/scipy/pull/10462>`__: TST: special:
only show max atol/rtol for test points that failed
* `#10465 <https://github.com/scipy/scipy/pull/10465>`__: BUG: Correctly
align fft inputs
* `#10467 <https://github.com/scipy/scipy/pull/10467>`__: ENH: lower-memory
duplicate generator checking in spatial.SphericalVoronoi
* `#10470 <https://github.com/scipy/scipy/pull/10470>`__: ENH: Normalise
the inverse DCT/DST in scipy.fft
* `#10472 <https://github.com/scipy/scipy/pull/10472>`__: BENCH: adjust
timeout for slow setup_cache
* `#10475 <https://github.com/scipy/scipy/pull/10475>`__: CI: include
python debug for Travis-ci
* `#10476 <https://github.com/scipy/scipy/pull/10476>`__: TST: special: use
\`__tracebackhide__\` to get better error messages
* `#10477 <https://github.com/scipy/scipy/pull/10477>`__: ENH: faster
region building in spatial.SphericalVoronoi
* `#10479 <https://github.com/scipy/scipy/pull/10479>`__: BUG: stats: Fix a
few issues with the distributions' fit method.
* `#10480 <https://github.com/scipy/scipy/pull/10480>`__: Add RuntimeError
in _distn_infrastructure.py in fit() method
* `#10481 <https://github.com/scipy/scipy/pull/10481>`__: BENCH, MAINT:
wheel_cache_size has been renamed build_cache_size
* `#10494 <https://github.com/scipy/scipy/pull/10494>`__: ENH: faster
circumcenter calculation in spatial.SphericalVoronoi
* `#10500 <https://github.com/scipy/scipy/pull/10500>`__: Splrep
_curfit_cache global variable bugfix
* `#10503 <https://github.com/scipy/scipy/pull/10503>`__: BUG:
spatial/qhull: get HalfspaceIntersection.dual_points from...
* `#10506 <https://github.com/scipy/scipy/pull/10506>`__: DOC: interp2d,
note nearest neighbor extrapolation
* `#10507 <https://github.com/scipy/scipy/pull/10507>`__: MAINT: Remove
fortran fftpack library in favour of pypocketfft
* `#10508 <https://github.com/scipy/scipy/pull/10508>`__: TST: fix a bug in
the circular import test.
* `#10509 <https://github.com/scipy/scipy/pull/10509>`__: MAINT: Set up
_build_utils as subpackage
* `#10516 <https://github.com/scipy/scipy/pull/10516>`__: BUG: Use nogil
contexts in cKDTree
* `#10517 <https://github.com/scipy/scipy/pull/10517>`__: ENH: fftconvolve
should not FFT broadcastable axes
* `#10518 <https://github.com/scipy/scipy/pull/10518>`__: ENH: Speedup
fftconvolve
* `#10520 <https://github.com/scipy/scipy/pull/10520>`__: DOC: Proper .rst
formatting for deprecated features and Backwards...
* `#10523 <https://github.com/scipy/scipy/pull/10523>`__: DOC: Improve
scipy.signal.resample documentation
* `#10524 <https://github.com/scipy/scipy/pull/10524>`__: ENH: Add MGC to
scipy.stats
* `#10525 <https://github.com/scipy/scipy/pull/10525>`__: [ENH] ncx2.ppf
dispatch to chi2 when nc=0
* `#10526 <https://github.com/scipy/scipy/pull/10526>`__: DOC: clarify
laplacian normalization
* `#10528 <https://github.com/scipy/scipy/pull/10528>`__: API: Rename
scipy.fft DCT/DST shape argument to s
* `#10531 <https://github.com/scipy/scipy/pull/10531>`__: BUG: fixed
improper rotations in spatial.transform.rotation.match_vectors
* `#10533 <https://github.com/scipy/scipy/pull/10533>`__: [DOC] Add example
for winsorize function
* `#10539 <https://github.com/scipy/scipy/pull/10539>`__: MAINT: special:
don't register \`i0\` with \`numpy.dual\`
* `#10540 <https://github.com/scipy/scipy/pull/10540>`__: MAINT: Fix Travis
and Circle
* `#10542 <https://github.com/scipy/scipy/pull/10542>`__: MAINT:
interpolate: use cython_lapack
* `#10547 <https://github.com/scipy/scipy/pull/10547>`__: Feature request.
Add furthest site Voronoi diagrams to scipy.spatial.plotutils.
* `#10549 <https://github.com/scipy/scipy/pull/10549>`__: [BUG] Fix bug in
trimr when inclusive=False
* `#10552 <https://github.com/scipy/scipy/pull/10552>`__: add
scipy.signal.upfirdn signal extension modes
* `#10555 <https://github.com/scipy/scipy/pull/10555>`__: MAINT: special:
move \`c_misc\` into Cephes
* `#10556 <https://github.com/scipy/scipy/pull/10556>`__: [DOC] Add example
for trima
* `#10562 <https://github.com/scipy/scipy/pull/10562>`__: [DOC] Fix triple
string fo trimmed so that __doc__ can show...
* `#10563 <https://github.com/scipy/scipy/pull/10563>`__: improve
least_squares error msg for mismatched shape
* `#10564 <https://github.com/scipy/scipy/pull/10564>`__: ENH: linalg:
memoize get_lapack/blas_funcs to speed it up
* `#10566 <https://github.com/scipy/scipy/pull/10566>`__: ENH: add
implementation of solver for the maximum flow problem
* `#10567 <https://github.com/scipy/scipy/pull/10567>`__: BUG: spatial: use
c++11 construct for getting start of vector...
* `#10568 <https://github.com/scipy/scipy/pull/10568>`__: DOC: special:
small tweaks to the \`zetac\` docstring
* `#10571 <https://github.com/scipy/scipy/pull/10571>`__: [ENH]
Gaussian_kde can accept matrix dataset
* `#10574 <https://github.com/scipy/scipy/pull/10574>`__: ENH: linalg:
speed up _compute_lwork by avoiding numpy constructs
* `#10582 <https://github.com/scipy/scipy/pull/10582>`__: Fix typos with
typos in bundled libraries reverted
* `#10583 <https://github.com/scipy/scipy/pull/10583>`__: ENH: special: add
the analytic continuation of Riemann zeta
* `#10584 <https://github.com/scipy/scipy/pull/10584>`__: MAINT: special:
clean up \`special.__all__\`
* `#10586 <https://github.com/scipy/scipy/pull/10586>`__: BUG:
multidimensional scipy.fft functions should accept 's' rather...
* `#10587 <https://github.com/scipy/scipy/pull/10587>`__: BUG:
integrate/lsoda: never abort run, set error istate instead
* `#10594 <https://github.com/scipy/scipy/pull/10594>`__: API: Replicate
numpy's fftn behaviour when s is given but not...
* `#10599 <https://github.com/scipy/scipy/pull/10599>`__: DOC: dev: update
documentation vs. github pull request workflow...
* `#10603 <https://github.com/scipy/scipy/pull/10603>`__: MAINT: installer
scripts removed
* `#10604 <https://github.com/scipy/scipy/pull/10604>`__: MAINT: Change
c\*np.ones(...) to np.full(..., c, ...) in many...
* `#10608 <https://github.com/scipy/scipy/pull/10608>`__: Univariate
splines should require x to be strictly increasing...
* `#10613 <https://github.com/scipy/scipy/pull/10613>`__: ENH: Add seed
option for gaussian_kde.resample
* `#10614 <https://github.com/scipy/scipy/pull/10614>`__: ENH: Add parallel
computation to scipy.fft
* `#10615 <https://github.com/scipy/scipy/pull/10615>`__: MAINT:
interpolate: remove unused header file
* `#10616 <https://github.com/scipy/scipy/pull/10616>`__: MAINT: Clean up
32-bit platform xfail markers
* `#10618 <https://github.com/scipy/scipy/pull/10618>`__: BENCH: Added
'trust-constr' to minimize benchmarks
* `#10621 <https://github.com/scipy/scipy/pull/10621>`__: [MRG] multiple
stability updates in lobpcg
* `#10622 <https://github.com/scipy/scipy/pull/10622>`__: MAINT: forward
port 1.3.1 release notes
* `#10624 <https://github.com/scipy/scipy/pull/10624>`__: DOC: stats: Fix
spelling of 'support'.
* `#10627 <https://github.com/scipy/scipy/pull/10627>`__: DOC: stats: Add
references for the alpha distribution.
* `#10629 <https://github.com/scipy/scipy/pull/10629>`__: MAINT: special:
avoid overflow longer in \`zeta\` for negative...
* `#10630 <https://github.com/scipy/scipy/pull/10630>`__: TST: GH10271,
relax test assertion, fixes #10271
* `#10631 <https://github.com/scipy/scipy/pull/10631>`__: DOC: nelder-mean
uses xatol fixes #10036
* `#10633 <https://github.com/scipy/scipy/pull/10633>`__: BUG: interpolate:
integral(a, b) should be zero when both limits...
* `#10635 <https://github.com/scipy/scipy/pull/10635>`__: DOC: special:
complete hypergeometric functions documentation
* `#10636 <https://github.com/scipy/scipy/pull/10636>`__: BUG: special: use
series for \`hyp1f1\` when it converges rapidly
* `#10641 <https://github.com/scipy/scipy/pull/10641>`__: ENH: allow
matching of general bipartite graphs
* `#10643 <https://github.com/scipy/scipy/pull/10643>`__: ENH:
scipy.sparse.linalg.spsolve triangular unit diagonal
* `#10650 <https://github.com/scipy/scipy/pull/10650>`__: ENH: Cythonize
sosfilt
* `#10654 <https://github.com/scipy/scipy/pull/10654>`__: DOC: Vertical
alignment of table entries
* `#10655 <https://github.com/scipy/scipy/pull/10655>`__: ENH: Dockerfile
for scipy development
* `#10660 <https://github.com/scipy/scipy/pull/10660>`__: TST: clean up
tests for rvs in scipy.stats
* `#10664 <https://github.com/scipy/scipy/pull/10664>`__: Throw error on
non-finite input for binned_statistic_dd()
* `#10665 <https://github.com/scipy/scipy/pull/10665>`__: DOC: special:
improve the docstrings for \`gamma\` and \`gammasgn\`
* `#10669 <https://github.com/scipy/scipy/pull/10669>`__: TST: Update
scipy.fft real transform tests
* `#10670 <https://github.com/scipy/scipy/pull/10670>`__: DOC: Clarify docs
and error messages for scipy.signal.butter
* `#10672 <https://github.com/scipy/scipy/pull/10672>`__: ENH: return
solution attribute when using events in solve_ivp
* `#10675 <https://github.com/scipy/scipy/pull/10675>`__: MAINT: special:
add an explicit NaN check for \`iv\` arguments
* `#10679 <https://github.com/scipy/scipy/pull/10679>`__: DOC: special: Add
documentation for \`beta\` function
* `#10681 <https://github.com/scipy/scipy/pull/10681>`__: TST:
sparse.linalg: fix arnoldi test seed
* `#10682 <https://github.com/scipy/scipy/pull/10682>`__: DOC: special: Add
documentation for \`betainc\` function
* `#10684 <https://github.com/scipy/scipy/pull/10684>`__: TST: special:
require Mpmath 1.1.0 for \`test_hyperu_around_0\`
* `#10686 <https://github.com/scipy/scipy/pull/10686>`__: FIX: sphinx
isattributedescriptor is not available in sphinx...
* `#10687 <https://github.com/scipy/scipy/pull/10687>`__: DOC: added Docker
quickstart guide by @andyfaff
* `#10689 <https://github.com/scipy/scipy/pull/10689>`__: DOC: special:
clarify format of parameters/returns sections for...
* `#10690 <https://github.com/scipy/scipy/pull/10690>`__: DOC: special:
improve docstrings of incomplete gamma functions
* `#10692 <https://github.com/scipy/scipy/pull/10692>`__: ENH:
higher-dimensional input in \`spatial.SphericalVoronoi\`
* `#10694 <https://github.com/scipy/scipy/pull/10694>`__: ENH:
ScalarFunction.fun_and_grad
* `#10698 <https://github.com/scipy/scipy/pull/10698>`__: DOC: special: Add
documentation for \`betaincinv\`
* `#10699 <https://github.com/scipy/scipy/pull/10699>`__: MAINT: remove
time print lbfgsb fixes #8417
* `#10701 <https://github.com/scipy/scipy/pull/10701>`__: TST, MAINT: bump
OpenBLAS to 0.3.7 stable
* `#10702 <https://github.com/scipy/scipy/pull/10702>`__: DOC: clarify
iterations consume multiple function calls
* `#10703 <https://github.com/scipy/scipy/pull/10703>`__: DOC: iprint doc
lbfgsb closes #5482
* `#10708 <https://github.com/scipy/scipy/pull/10708>`__: TST: test
suggested in gh1758
* `#10710 <https://github.com/scipy/scipy/pull/10710>`__: ENH: Added
nan_policy to circ functions in \`stats\`
* `#10712 <https://github.com/scipy/scipy/pull/10712>`__: ENH: add axis
parameter to stats.entropy
* `#10714 <https://github.com/scipy/scipy/pull/10714>`__: DOC: Formatting
fix rv_continuous.expect docs
* `#10715 <https://github.com/scipy/scipy/pull/10715>`__: DOC: BLD: update
doc Makefile for python version; add scipy version...
* `#10717 <https://github.com/scipy/scipy/pull/10717>`__: MAINT: modernize
doc/Makefile
* `#10719 <https://github.com/scipy/scipy/pull/10719>`__: Enable setting
minres initial vector
* `#10720 <https://github.com/scipy/scipy/pull/10720>`__: DOC: silence
random warning in doc build for \`stats.binned_statistic_dd\`
* `#10724 <https://github.com/scipy/scipy/pull/10724>`__: DEV: Add doc
option to runtests.py
* `#10728 <https://github.com/scipy/scipy/pull/10728>`__: MAINT: get rid of
gramA, gramB text files that lobpcg tests leave...
* `#10732 <https://github.com/scipy/scipy/pull/10732>`__: DOC: add min_only
to docstring for Dijkstra's algorithm
* `#10734 <https://github.com/scipy/scipy/pull/10734>`__: DOC: spell out
difference between source and target in shortest...
* `#10735 <https://github.com/scipy/scipy/pull/10735>`__: Fix for Python 4
* `#10739 <https://github.com/scipy/scipy/pull/10739>`__: BUG:
optimize/slsqp: deal with singular BFGS update
* `#10741 <https://github.com/scipy/scipy/pull/10741>`__: ENH: LAPACK
wrappers for ?geequ, ?geequb, ?syequb, ?heequb
* `#10742 <https://github.com/scipy/scipy/pull/10742>`__: DOC: special: add
to the docstring of \`gammaln\`
* `#10743 <https://github.com/scipy/scipy/pull/10743>`__: ENH: special: add
a real dispatch for \`wrightomega\`
* `#10746 <https://github.com/scipy/scipy/pull/10746>`__: MAINT: Fix typos
in comments, docs and test name
* `#10747 <https://github.com/scipy/scipy/pull/10747>`__: Remove spurious
quotes
* `#10750 <https://github.com/scipy/scipy/pull/10750>`__: MAINT: make
cython code more precise
* `#10751 <https://github.com/scipy/scipy/pull/10751>`__: MAINT: Check that
scipy.linalg.lapack functions are documented
* `#10752 <https://github.com/scipy/scipy/pull/10752>`__: MAINT: special:
use \`sf_error\` in Cephes
* `#10755 <https://github.com/scipy/scipy/pull/10755>`__: DOC: cluster: Add
'See Also' and 'Examples' for kmeans2.
* `#10763 <https://github.com/scipy/scipy/pull/10763>`__: MAINT: list of
minimize methods
* `#10768 <https://github.com/scipy/scipy/pull/10768>`__: BUG: Fix corner
case for sos2zpk
* `#10773 <https://github.com/scipy/scipy/pull/10773>`__: Fix error type
for complex input to scipy.fftpack.rfft and irfft
* `#10776 <https://github.com/scipy/scipy/pull/10776>`__: ENH: handle
geodesic input in \`spatial.SphericalVoronoi\`
* `#10777 <https://github.com/scipy/scipy/pull/10777>`__: MAINT:
minimizer-->custom should handle the kinds of bounds/constrain…...
* `#10781 <https://github.com/scipy/scipy/pull/10781>`__: ENH:
solve_triangular C order improvement
* `#10787 <https://github.com/scipy/scipy/pull/10787>`__: Fix behavior of
\`exp1\` on branch cut and add docstring
* `#10789 <https://github.com/scipy/scipy/pull/10789>`__: DOC: special: add
parameters/returns doc sections for erfc/erfcx/erfi
* `#10790 <https://github.com/scipy/scipy/pull/10790>`__: Travis CI: sudo
is deprecated and Xenial is default distro
* `#10792 <https://github.com/scipy/scipy/pull/10792>`__: DOC: special: add
full docstring for \`expi\`
* `#10799 <https://github.com/scipy/scipy/pull/10799>`__: DOC: special: add
a complete docstring for \`expn\`
* `#10800 <https://github.com/scipy/scipy/pull/10800>`__: Docs edits (GSoD)
* `#10802 <https://github.com/scipy/scipy/pull/10802>`__: BUG: fix
UnboundLocalError in Radau (scipy#10775)
* `#10804 <https://github.com/scipy/scipy/pull/10804>`__: ENH: Speed up
next_fast_len with LRU cache
* `#10805 <https://github.com/scipy/scipy/pull/10805>`__: DOC: Fix
unbalanced quotes in signal.place_poles
* `#10809 <https://github.com/scipy/scipy/pull/10809>`__: ENH: Speed up
next_fast_len
* `#10810 <https://github.com/scipy/scipy/pull/10810>`__: ENH: Raise
catchable exceptions for bad Fortran files
* `#10811 <https://github.com/scipy/scipy/pull/10811>`__: MAINT: optimize:
Remove extra variable from _remove_redundancy_dense
* `#10813 <https://github.com/scipy/scipy/pull/10813>`__: MAINT: special:
Remove unused variables from _kolmogi and _smirnovi
* `#10815 <https://github.com/scipy/scipy/pull/10815>`__: DOC, API:
scipy.stats.reciprocal is "log-uniform"
* `#10816 <https://github.com/scipy/scipy/pull/10816>`__: MAINT: special:
remove deprecated \`bessel_diff_formula\`
* `#10817 <https://github.com/scipy/scipy/pull/10817>`__: DOC: special:
complete the docstring for \`fresnel\`
* `#10820 <https://github.com/scipy/scipy/pull/10820>`__: Fixed
compiler_helper.py to allow compilation with ICC on Linux
* `#10823 <https://github.com/scipy/scipy/pull/10823>`__: DOC: updated
reference guide text for consistency in writing...
* `#10825 <https://github.com/scipy/scipy/pull/10825>`__: MAINT: special:
change some features of the Voigt function
* `#10828 <https://github.com/scipy/scipy/pull/10828>`__: MAINT: integrate:
Remove unused variable from init_callback
* `#10830 <https://github.com/scipy/scipy/pull/10830>`__: Adding LOBPCG
solver in svds in addition to ARPACK
* `#10837 <https://github.com/scipy/scipy/pull/10837>`__: WIP: ENH:
reduction function for \`spatial.tranform.Rotation\`...
* `#10843 <https://github.com/scipy/scipy/pull/10843>`__: ENH: Adding
optional parameter to stats.zscores to allow for...
* `#10845 <https://github.com/scipy/scipy/pull/10845>`__: Rebase kruskal fix
* `#10847 <https://github.com/scipy/scipy/pull/10847>`__: remove redundant
__getitem__ from scipy.sparse.lil
* `#10848 <https://github.com/scipy/scipy/pull/10848>`__: Better handling
of empty (not missing) docstrings
* `#10849 <https://github.com/scipy/scipy/pull/10849>`__: ENH: implement
rmatmat for LinearOperator
* `#10850 <https://github.com/scipy/scipy/pull/10850>`__: MAINT :
Refactoring lil List of Lists
* `#10851 <https://github.com/scipy/scipy/pull/10851>`__: DOC: add a
generative art example to the scipy.spatial tutorial.
* `#10852 <https://github.com/scipy/scipy/pull/10852>`__: DOC: linalg:
fixed gh-10838 unused imports in example deleted
* `#10854 <https://github.com/scipy/scipy/pull/10854>`__: DOC: special: add
a full docstring for \`pdtr\`
* `#10861 <https://github.com/scipy/scipy/pull/10861>`__: ENH: option to
reuse binnumbers in stats.binned_statistic_dd
* `#10863 <https://github.com/scipy/scipy/pull/10863>`__: DOC: partial
standardization and validation of scipy.stats reference...
* `#10865 <https://github.com/scipy/scipy/pull/10865>`__: BUG: special: fix
incomplete gamma functions for infinite \`a\`
* `#10866 <https://github.com/scipy/scipy/pull/10866>`__: ENH: calculation
of mean in spatial.transform.Rotation
* `#10867 <https://github.com/scipy/scipy/pull/10867>`__: MAINT: Also store
latex directory
* `#10869 <https://github.com/scipy/scipy/pull/10869>`__: ENH: Implement
overlap-add convolution
* `#10870 <https://github.com/scipy/scipy/pull/10870>`__: ENH: Do not raise
EOF error if wavfile data read
* `#10876 <https://github.com/scipy/scipy/pull/10876>`__: ENH: Add
beta-binomial distribution to scipy.stats
* `#10878 <https://github.com/scipy/scipy/pull/10878>`__: MAINT: Update R
project URL
* `#10883 <https://github.com/scipy/scipy/pull/10883>`__: MAINT: (ndimage)
More robust check for output being a numpy dtype
* `#10884 <https://github.com/scipy/scipy/pull/10884>`__: DOC: Added
instructions on adding a new distribution to scipy.stats.
* `#10885 <https://github.com/scipy/scipy/pull/10885>`__: [BUG] fix lobpcg
with maxiter=None results in Exception
* `#10899 <https://github.com/scipy/scipy/pull/10899>`__: ENH: Match R
functionality for hmean
* `#10900 <https://github.com/scipy/scipy/pull/10900>`__: MAINT: stats: Use
keepdims to simplify a few lines in power_divergence.
* `#10901 <https://github.com/scipy/scipy/pull/10901>`__: ENH:
sparse/linalg: support pydata/sparse matrices
* `#10907 <https://github.com/scipy/scipy/pull/10907>`__: Check whether
\`maxiter\` is integer
* `#10912 <https://github.com/scipy/scipy/pull/10912>`__: ENH: warn user
that quad() ignores \`points=...\` when \`weight=...\`...
* `#10918 <https://github.com/scipy/scipy/pull/10918>`__: CI: fix Travis CI
py3.8 build
* `#10920 <https://github.com/scipy/scipy/pull/10920>`__: MAINT: Update
constants to codata 2018 values (second try)
* `#10921 <https://github.com/scipy/scipy/pull/10921>`__: ENH:
scipy.sparse.lil: tocsr accelerated
* `#10924 <https://github.com/scipy/scipy/pull/10924>`__: BUG: Forbid
passing 'args' as kwarg in scipy.optimize.curve_fit
* `#10928 <https://github.com/scipy/scipy/pull/10928>`__: DOC: Add examples
to io.wavfile docstrings
* `#10934 <https://github.com/scipy/scipy/pull/10934>`__: typo fix
* `#10935 <https://github.com/scipy/scipy/pull/10935>`__: BUG: Avoid
undefined behaviour on float to unsigned conversion
* `#10936 <https://github.com/scipy/scipy/pull/10936>`__: DOC: Added
missing example to stats.mstats.variation
* `#10939 <https://github.com/scipy/scipy/pull/10939>`__: ENH:
scipy.sparse.lil: tocsr accelerated depending on density
* `#10946 <https://github.com/scipy/scipy/pull/10946>`__: BUG: setting
verbose > 2 in minimize with trust-constr method...
* `#10947 <https://github.com/scipy/scipy/pull/10947>`__: DOC: special:
small improvements to the \`poch\` docstring
* `#10949 <https://github.com/scipy/scipy/pull/10949>`__: BUG: fix return
type of erlang_gen._argcheck
* `#10951 <https://github.com/scipy/scipy/pull/10951>`__: DOC: fixed Ricker
wavelet formula
* `#10954 <https://github.com/scipy/scipy/pull/10954>`__: BUG: special: fix
\`factorial\` return type for 0-d inputs
* `#10955 <https://github.com/scipy/scipy/pull/10955>`__: MAINT: Relax the
assert_unitary atol value
* `#10956 <https://github.com/scipy/scipy/pull/10956>`__: WIP: make
pdtr(int, double) be pdtr(double, double)
* `#10957 <https://github.com/scipy/scipy/pull/10957>`__: BUG: Ensure full
binary compatibility of long double test data
* `#10964 <https://github.com/scipy/scipy/pull/10964>`__: ENH: Make Slerp
callable with a scalar argument
* `#10972 <https://github.com/scipy/scipy/pull/10972>`__: BUG: Handle
complex gains in zpk2sos
* `#10975 <https://github.com/scipy/scipy/pull/10975>`__: TST: skip
test_kendalltau ppc64le
* `#10978 <https://github.com/scipy/scipy/pull/10978>`__: BUG: boxcox data
dimension and constancy check #5112
* `#10979 <https://github.com/scipy/scipy/pull/10979>`__: API: Rename dcm
to (rotation) matrix in Rotation class
* `#10981 <https://github.com/scipy/scipy/pull/10981>`__: MAINT: add
support for a==0 and x>0 edge case to igam and igamc
* `#10986 <https://github.com/scipy/scipy/pull/10986>`__: MAINT: Remove
direct imports from numpy in signaltools.py
* `#10988 <https://github.com/scipy/scipy/pull/10988>`__: BUG: signal:
fixed issue #10360
* `#10989 <https://github.com/scipy/scipy/pull/10989>`__: FIX
binned_statistic_dd Mac wheel test fails
* `#10990 <https://github.com/scipy/scipy/pull/10990>`__: BUG: Fix memory
leak in shgo triangulation
* `#10992 <https://github.com/scipy/scipy/pull/10992>`__: TST: Relax
tolerance in upfirdn test_modes
* `#10993 <https://github.com/scipy/scipy/pull/10993>`__: TST: bump
tolerance in optimize tests
* `#10997 <https://github.com/scipy/scipy/pull/10997>`__: MAINT: Rework
residue and residuez
* `#11001 <https://github.com/scipy/scipy/pull/11001>`__: DOC: Updated
Windows build tutorial
* `#11004 <https://github.com/scipy/scipy/pull/11004>`__: BUG:
integrate/quad_vec: fix several bugs in quad_vec
* `#11005 <https://github.com/scipy/scipy/pull/11005>`__: TST: add Python
3.8 Win CI
* `#11006 <https://github.com/scipy/scipy/pull/11006>`__: DOC: special: add
a reference for \`kl_div\`
* `#11012 <https://github.com/scipy/scipy/pull/11012>`__: MAINT: Rework
invres and invresz
* `#11015 <https://github.com/scipy/scipy/pull/11015>`__: DOC: special: add
references for \`rel_entr\`
* `#11017 <https://github.com/scipy/scipy/pull/11017>`__: DOC: numpydoc
validation of morestats.py
* `#11018 <https://github.com/scipy/scipy/pull/11018>`__: MAINT: Filter
unrelated warning
* `#11031 <https://github.com/scipy/scipy/pull/11031>`__: MAINT: update
choose_conv_method for pocketfft implementation
* `#11034 <https://github.com/scipy/scipy/pull/11034>`__: MAINT: TST: Skip
tests with multiprocessing that use "spawn"...
* `#11036 <https://github.com/scipy/scipy/pull/11036>`__: DOC: update
doc/README with some more useful content.
* `#11037 <https://github.com/scipy/scipy/pull/11037>`__: DOC: special: add
a complete docstring for \`rgamma\`
* `#11038 <https://github.com/scipy/scipy/pull/11038>`__: DOC: special: add
a reference for the polygamma function
* `#11042 <https://github.com/scipy/scipy/pull/11042>`__: TST: fix tf2zpk
test failure due to incorrect complex sorting.
* `#11044 <https://github.com/scipy/scipy/pull/11044>`__: MAINT:
choose_conv_method can choose fftconvolution for longcomplex
* `#11046 <https://github.com/scipy/scipy/pull/11046>`__: TST: Reduce
tolerance for ppc64le with reference lapack
* `#11048 <https://github.com/scipy/scipy/pull/11048>`__: DOC: special: add
reference for orthogonal polynomial functions
* `#11049 <https://github.com/scipy/scipy/pull/11049>`__: MAINT: proper
random number initialization and readability fix
* `#11051 <https://github.com/scipy/scipy/pull/11051>`__: MAINT: pep8
cleanup
* `#11054 <https://github.com/scipy/scipy/pull/11054>`__: TST: bump test
precision for dual_annealing SLSQP test
* `#11055 <https://github.com/scipy/scipy/pull/11055>`__: DOC: special: add
a reference for \`zeta\`
* `#11056 <https://github.com/scipy/scipy/pull/11056>`__: API: Deprecated
normalized keyword in Rotation
* `#11065 <https://github.com/scipy/scipy/pull/11065>`__: DOC: Ubuntu
Development Environment Quickstart should not modify...
* `#11066 <https://github.com/scipy/scipy/pull/11066>`__: BUG: skip
deprecation for numpy top-level types
* `#11067 <https://github.com/scipy/scipy/pull/11067>`__: DOC: updated
documentation for consistency in writing style
* `#11070 <https://github.com/scipy/scipy/pull/11070>`__: DOC: Amendment to
Ubuntu Development Environment Quickstart should...
* `#11073 <https://github.com/scipy/scipy/pull/11073>`__: DOC: fix 1.4.0
release notes
* `#11081 <https://github.com/scipy/scipy/pull/11081>`__: API: Replace
Rotation.match_vectors with align_vectors
* `#11083 <https://github.com/scipy/scipy/pull/11083>`__: DOC: more 1.4.0
release note fixes
* `#11092 <https://github.com/scipy/scipy/pull/11092>`__: BUG: stats: fix
freezing of some distributions
* `#11096 <https://github.com/scipy/scipy/pull/11096>`__: BUG:
scipy.sparse.csgraph: fixed issue #10774
* `#11124 <https://github.com/scipy/scipy/pull/11124>`__: fix Cython
warnings related to _stats.pyx
* `#11126 <https://github.com/scipy/scipy/pull/11126>`__: BUG:
interpolate/fitpack: fix memory leak in splprep
* `#11127 <https://github.com/scipy/scipy/pull/11127>`__: Avoid potential
segfault in CSR and CSC matrix indexing
* `#11152 <https://github.com/scipy/scipy/pull/11152>`__: BUG: Fix random
state bug multiscale_graphcorr
* `#11166 <https://github.com/scipy/scipy/pull/11166>`__: BUG: empty sparse
slice shapes
* `#11167 <https://github.com/scipy/scipy/pull/11167>`__: BUG: redundant
fft in signal.resample
* `#11181 <https://github.com/scipy/scipy/pull/11181>`__: TST: Fix
tolerance of tests for aarch64
* `#11182 <https://github.com/scipy/scipy/pull/11182>`__: TST: Bump up
tolerance for test_maxiter_worsening
* `#11199 <https://github.com/scipy/scipy/pull/11199>`__: BUG:
sparse.linalg: mistake in unsymm. real shift-invert ARPACK eigenvalue
selection
Checksums
=========
MD5
~~~
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1
0
pytest 5.3.2 has just been released to PyPI.
This is a bug-fix release, being a drop-in replacement. To upgrade::
pip install --upgrade pytest
The full changelog is available at
https://docs.pytest.org/en/latest/changelog.html.
Thanks to all who contributed to this release, among them:
* Anthony Sottile
* Bruno Oliveira
* Claudio Madotto
* Daniel Hahler
* Jared Vasquez
* Michael Rose
* Ran Benita
* Ronny Pfannschmidt
* Zac Hatfield-Dodds
Happy testing,
The pytest Development Team
1
0
Hi everyone,
Yappi(a thread-aware deterministic profiler for Python) 1.2.1 has just been released to PyPI.
This is an important release as we have implemented some improvements on profiling asynchronous code(specifically coroutines) and a new API to collect and filter multiple profiler results based on a 'tag'. See details for coroutine profiling: https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md
Special thanks to devs at FastAPI(https://github.com/tiangolo/fastapi/) for all their help regarding asynchronous profiling.
Project page:
https://github.com/sumerc/yappi/
Happy profiling!
Sümer Cip
1
0
11 Dec '19
Details here:
https://discuss.python.org/t/python-3-7-6rc1-and-3-6-10rc1-are-now-availabl…
https://www.python.org/downloads/release/python-376rc1/
https://www.python.org/downloads/release/python-3610rc1/
--
Ned Deily
nad(a)python.org -- []
1
0
Python 3.8.1rc1 is the release candidate of the first maintenance release of Python 3.8.
The Python 3.8 series is the newest feature release of the Python language, and it contains many new features and optimizations. You can find Python 3.8.1rc1 here:
https://www.python.org/downloads/release/python-381rc1/ <https://www.python.org/downloads/release/python-381rc1/>
Assuming no critical problems are found prior to 2019-12-16, the scheduled release date for 3.8.1 as well as Ned Deily's birthday, no code changes are planned between this release candidate and the final release.
That being said, please keep in mind that this is a pre-release of 3.8.1 and as such its main purpose is testing.
See the “What’s New in Python 3.8 <https://docs.python.org/3.8/whatsnew/3.8.html>” document for more information about features included in the 3.8 series. Detailed information about all changes made in 3.8.0 can be found in its change log.
Maintenance releases for the 3.8 series will continue at regular bi-monthly intervals, with 3.8.2 planned for February 2020.
We hope you enjoy Python 3.8!
Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation.
https://www.python.org/psf/ <https://www.python.org/psf/>
1
0
Hello!
I'm pleased to announce version 3.8.0, the first stable release of branch
3.8 of SQLObject.
What's new in SQLObject
=======================
Features
--------
* Add driver ``supersqlite``. Not all tests are passing
so the driver isn't added to the list of default drivers.
Minor features
--------------
* Improve sqlrepr'ing ``ALL/ANY/SOME()``: always put the expression
at the right side of the comparison operation.
Bug fixes
---------
* Fixed a bug in cascade deletion/nullification.
* Fixed a bug in ``PostgresConnection.columnsFromSchema``:
PostgreSQL 12 removed outdated catalog attribute
``pg_catalog.pg_attrdef.adsrc``.
* Fixed a bug working with microseconds in Time columns.
CI
--
* Run tests with Python 3.8 at Travis CI.
Contributors for this release are Andrew Trusty, Marco Sirabella and darix.
For a more complete list, please see the news:
http://sqlobject.org/News.html
What is SQLObject
=================
SQLObject is an object-relational mapper. Your database tables are described
as classes, and rows are instances of those classes. SQLObject is meant to be
easy to use and quick to get started with.
SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite,
Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB).
Python 2.7 or 3.4+ is required.
Where is SQLObject
==================
Site:
http://sqlobject.org
Development:
http://sqlobject.org/devel/
Mailing list:
https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss
Download:
https://pypi.org/project/SQLObject/3.8.0
News and changes:
http://sqlobject.org/News.html
StackOverflow:
https://stackoverflow.com/questions/tagged/sqlobject
Example
=======
Create a simple class that wraps a table::
>>> from sqlobject import *
>>>
>>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:')
>>>
>>> class Person(SQLObject):
... fname = StringCol()
... mi = StringCol(length=1, default=None)
... lname = StringCol()
...
>>> Person.createTable()
Use the object::
>>> p = Person(fname="John", lname="Doe")
>>> p
<Person 1 fname='John' mi=None lname='Doe'>
>>> p.fname
'John'
>>> p.mi = 'Q'
>>> p2 = Person.get(1)
>>> p2
<Person 1 fname='John' mi='Q' lname='Doe'>
>>> p is p2
True
Queries::
>>> p3 = Person.selectBy(lname="Doe")[0]
>>> p3
<Person 1 fname='John' mi='Q' lname='Doe'>
>>> pc = Person.select(Person.q.lname=="Doe").count()
>>> pc
1
Oleg.
--
Oleg Broytman https://phdru.name/ phd(a)phdru.name
Programmers don't die, they just GOSUB without RETURN.
1
0
Hi All,
On behalf of the NumPy team I am pleased to announce that NumPy 1.18.0rc1
has been released. In addition to the usual bug fixes, this NumPy release
cleans up and documents the new random C-API, expires a large number of old
deprecations, and improves the appearance and organization of the
documentation. The Python versions supported are 3.5-3.8. This is the last
NumPy release series that will support Python 3.5.
The highlights of this release are:
- the C-API for ``numpy.random`` has been defined and documented,
- basic infrastructure for linking with 64 bit BLAS and LAPACK libraries,
- many documentation improvements.
Downstream developers should use Cython >= 0.29.14 for Python 3.8 support
and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The
NumPy Wheels for this release can be downloaded from PyPI
<https://pypi.org/project/numpy/1.18.0rc1/>, source archives and release
notes are available from Github
<https://github.com/numpy/numpy/releases/tag/v1.18.0rc1>.
*Highlights*
- The C-API for ``numpy.random`` has been defined and documented.
- Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries.
- Many documentation improvements.
*Contributors*
A total of 113 people contributed to this release. People with a "+" by
their
names contributed a patch for the first time.
- Abhinav Sagar
- Alex Henrie +
- Alexander Jung +
- Allan Haldane
- Andrea Pattori
- Andrew Liu +
- Anis Ladram +
- Anne Bonner +
- Antoine Dechaume +
- Aryan Naraghi +
- Bastian Eichenberger +
- Brian Wignall +
- Brigitta Sipocz
- CakeWithSteak +
- Charles Harris
- Chris Barker
- Chris Burr +
- Chris Markiewicz +
- Christoph Gohlke
- Christopher Whelan
- Colin Snyder
- Dan Allan
- Daniel Ching
- David Stansby +
- David Zwicker +
- Dieter Werthmüller
- Disconnect3d +
- Dmytro +
- Doug Davis +
- Eric Larson
- Eric Wieser
- Esben Haabendal +
- Eugene Prilepin +
- Felix Divo +
- Gary Gurlaskie
- Gina +
- Giuseppe Cuccu +
- Grzegorz Bokota +
- Guanqun Lu +
- Guilherme Leobas +
- Guillaume Horel
- Géraud Le Falher +
- Hameer Abbasi
- Harmon
- Hiroyuki V. Yamazaki
- Huang, Guangtai +
- Hugo +
- Hyeonguk Ryu +
- Ilhan Polat +
- Isaac Virshup
- Jack J. Woehr +
- Jack Woehr +
- Jackie Leng
- Jaime Fernandez
- Jeff Hale +
- Johann Faouzi +
- Jon Dufresne +
- Joseph Fox-Rabinovitz
- Joseph R. Fox-Rabinovitz +
- João Marcos Gris +
- Justus Magin +
- Jérémie du Boisberranger
- Kai Striega
- Kevin Sheppard
- Kexuan Sun
- Kmol Yuan +
- Kriti Singh
- Larry Bradley +
- Lars Grueter
- Luis Pedro Coelho
- MSeifert04
- Magdalena Proszewska +
- Manny +
- Mark Harfouche
- Martin Reinecke
- Martin Thoma
- Matt Haberland +
- Matt McCormick +
- Matthias Bussonnier
- Matti Picus
- Max Bolingbroke +
- Maxwell Aladago +
- Michael Hudson-Doyle +
- Oleksandr Pavlyk
- Omar Merghany +
- Pauli Virtanen
- Peter Andreas Entschev
- Peter Bell
- Peter Cock +
- Pradeep Reddy Raamana +
- Qiming Sun +
- Raghuveer Devulapalli
- Ralf Gommers
- Samesh +
- Samesh Lakhotia +
- Sebastian Berg
- Sergei Lebedev
- Seth Troisi +
- Siddhesh Poyarekar +
- Simon +
- Simon Notley +
- Stefan van der Walt
- Stephan Hoyer
- Steve Stagg
- Thomas A Caswell
- Thomas Kluyver
- Tim Hoffmann +
- Tyler Reddy
- Vladimir Pershin +
- Warren Weckesser
- Yadong Zhang +
- Zieji Pohz +
- Zolisa Bleki +
Cheers,
Charles Harris
1
0