<div dir="ltr">Hi all,<br><br>On behalf of the <span class="gmail-il">SciPy</span> development team I'm pleased to announce<br>the release of <span class="gmail-il">SciPy</span> <span class="gmail-il">1</span>.5.<span class="gmail-il">1</span>, which is a bug fix release.<br><br>Sources and binary wheels can be found at:<br><a href="https://pypi.org/project/scipy/" target="_blank">https://pypi.org/project/<span class="gmail-il">scipy</span>/</a><br>and at: 

<a href="https://github.com/scipy/scipy/releases/tag/v1.5.1">https://github.com/scipy/scipy/releases/tag/v1.5.1</a>  <br><br>One of a few ways to install this release with pip:<br><br>pip install <span class="gmail-il">scipy</span>==<span class="gmail-il">1</span>.5.<span class="gmail-il">1</span>  <br><br>==========================<br>SciPy 1.5.1 Release Notes<br>==========================<br><br>SciPy 1.5.1 is a bug-fix release with no new features<br>compared to 1.5.0. In particular, an issue where DLL loading<br>can fail for SciPy wheels on Windows with Python 3.6 has been<br>fixed.<br><br>Authors<br>=======<br><br>* Peter Bell<br>* Loïc Estève<br>* Philipp Thölke +<br>* Tyler Reddy<br>* Paul van Mulbregt<br>* Pauli Virtanen<br>* Warren Weckesser<br><br>A total of 7 people contributed to this release.<br>People with a "+" by their names contributed a patch for the first time.<br>This list of names is automatically generated, and may not be fully complete.<br><br>Issues closed for 1.5.1<br>--------------------------------<br><br>* `#9108 <<a href="https://github.com/scipy/scipy/issues/9108">https://github.com/scipy/scipy/issues/9108</a>>`__: documentation: scipy.spatial.KDTree vs. scipy.spatial.cKDTree<br>* `#12218 <<a href="https://github.com/scipy/scipy/issues/12218">https://github.com/scipy/scipy/issues/12218</a>>`__: Type error in stats.ks_2samp when alternative != 'two-sided-<br>* `#12406 <<a href="https://github.com/scipy/scipy/issues/12406">https://github.com/scipy/scipy/issues/12406</a>>`__: DOC: Docstring in stats.anderson function not properly formatted<br>* `#12418 <<a href="https://github.com/scipy/scipy/issues/12418">https://github.com/scipy/scipy/issues/12418</a>>`__: Regression in hierarchy.dendogram<br><br><br>Pull requests for 1.5.1<br>--------------------------------<br><br>* `#12280 <<a href="https://github.com/scipy/scipy/pull/12280">https://github.com/scipy/scipy/pull/12280</a>>`__: BUG: Fixes gh-12218, TypeError converting int to float inside...<br>* `#12336 <<a href="https://github.com/scipy/scipy/pull/12336">https://github.com/scipy/scipy/pull/12336</a>>`__: BUG: KDTree should reject complex input points<br>* `#12344 <<a href="https://github.com/scipy/scipy/pull/12344">https://github.com/scipy/scipy/pull/12344</a>>`__: MAINT: Don't use numpy's aliases of Python builtin objects.<br>* `#12407 <<a href="https://github.com/scipy/scipy/pull/12407">https://github.com/scipy/scipy/pull/12407</a>>`__: DOC: Fix docstring for dist param in anderson function<br>* `#12410 <<a href="https://github.com/scipy/scipy/pull/12410">https://github.com/scipy/scipy/pull/12410</a>>`__: CI: Run the Azure Windows Python36 32bit tests with mode 'fast'<br>* `#12421 <<a href="https://github.com/scipy/scipy/pull/12421">https://github.com/scipy/scipy/pull/12421</a>>`__: Fix regression in scipy 1.5.0 in dendogram when labels is a numpy...<br>* `#12462 <<a href="https://github.com/scipy/scipy/pull/12462">https://github.com/scipy/scipy/pull/12462</a>>`__: MAINT: move distributor_init import after __config__ import<br><br><br>Checksums<br>=========<br><br>MD5<br>~~~<br><br>b71e8115d61c604cc65e5ecc556131f6  scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl<br>0190c11f75ed28a7e56050182ca95a18  scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl<br>c4dd717a3a0c3fe64380039e4fda663f  scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl<br>baad02c954e85e7fd3d4a9fd49fc6359  scipy-1.5.1-cp36-cp36m-win32.whl<br>9edc3a9aedf6bffccb17101c905126d0  scipy-1.5.1-cp36-cp36m-win_amd64.whl<br>83479a6de66a6bc2da0990fa71cf3cec  scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl<br>f2d5c8713b087545c5ec19cc8e46212c  scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl<br>6a18a9636342574ae55d3a80136c550c  scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl<br>5da68faf5b32c539d1cb5390df010cc8  scipy-1.5.1-cp37-cp37m-win32.whl<br>2ca8c59a6712e91ac78b8540ab694b53  scipy-1.5.1-cp37-cp37m-win_amd64.whl<br>cceb059d0cf6a70e62452deb5571ba00  scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl<br>8a65b30ccd72409704d3300922da2b7f  scipy-1.5.1-cp38-cp38-manylinux1_i686.whl<br>00181f52a7917d1c3d50e42a76a6df96  scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl<br>2aa8b6ddceaebe7b33d71dbad0e208cc  scipy-1.5.1-cp38-cp38-win32.whl<br>a626585d08b0991c8f2df0caacdf9997  scipy-1.5.1-cp38-cp38-win_amd64.whl<br>f6986798b7d22ffc5f80b749d7ec27ca  scipy-1.5.1.tar.gz<br>e126a1a0ff954b924a8273faa7437fe3  scipy-1.5.1.tar.xz<br>3bce82b23d45d1a96ee270f23176746a  scipy-1.5.1.zip<br><br>SHA256<br>~~~~~~<br><br>058e84930407927f71963a4ad8c1dc96c4d2d075636a68578195648c81f78810  scipy-1.5.1-cp36-cp36m-macosx_10_9_x86_64.whl<br>7908c85854c5b5b6d3ce7fefafac1ca3e23ff9ac41edabc2d46ae5dc9fa070ac  scipy-1.5.1-cp36-cp36m-manylinux1_i686.whl<br>8302d69fb1528ea7c7f2a1ea640d354c981b6eb8192d1c175349874209397604  scipy-1.5.1-cp36-cp36m-manylinux1_x86_64.whl<br>35d042d6499caf1a5d171baed0ebf01eb665b7af2ad98a8ff1b0e6e783654540  scipy-1.5.1-cp36-cp36m-win32.whl<br>5e0bb43ff581811ab7f27425f6b96c1ddf7591ccad2e486c9af0b910c18f7185  scipy-1.5.1-cp36-cp36m-win_amd64.whl<br>b4858ccbd88f4b53950fb9fc0069c1d9fea83d7cff2382e1d8b023d3f4883014  scipy-1.5.1-cp37-cp37m-macosx_10_9_x86_64.whl<br>eb46d8b5947ca27b0bc972cecfba8130f088a83ab3d08c1a6033d9070b3046b3  scipy-1.5.1-cp37-cp37m-manylinux1_i686.whl<br>fff15df01bef1243468be60c55178ed7576270b200aab08a7ffd5b8e0bbc340c  scipy-1.5.1-cp37-cp37m-manylinux1_x86_64.whl<br>81859ed3aad620752dd2c07c32b5d3a80a0d47c5e3813904621954a78a0ae899  scipy-1.5.1-cp37-cp37m-win32.whl<br>c05c6fe76228cc13c5214e9faf5f2a871a1da54473bc417ab9da310d0e5fff8b  scipy-1.5.1-cp37-cp37m-win_amd64.whl<br>71742889393a724dfce755b6b61228677873d269a4234e51ddaf08b998433c91  scipy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl<br>9323d268775991b79690f7b9a28a4e8b8c4f2b160ed9f8a90123127314e2d3c1  scipy-1.5.1-cp38-cp38-manylinux1_i686.whl<br>06b19a650471781056c1a2172eeeeb777b8b516e9434005dd392a4559e0938b9  scipy-1.5.1-cp38-cp38-manylinux1_x86_64.whl<br>57a0f2be3063dbe1e3daf31ec9005576e8fd1022a28159d0db71d14566899d16  scipy-1.5.1-cp38-cp38-win32.whl<br>c06e731aa46c0dfc563cc636155758178ebc019ef78b9b0f4370effe2ac0f0e6  scipy-1.5.1-cp38-cp38-win_amd64.whl<br>039572f0ca9578a466683558c5bf1e65d442860ec6e13307d528749cfe6d07b8  scipy-1.5.1.tar.gz<br>0728bd66a5251cfeff17a72280ae5a40ec14add217f94868d1415b3c469b610a  scipy-1.5.1.tar.xz<br>6dfa9d1e718588f48731e865674b3270130f7736d6c7dc5ceaeb048f55ed793a  scipy-1.5.1.zip<br></div>