<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Hi all,<div class=""><br class=""></div><div class="">Binary wheels for Windows and Mac OS X are up for yt 3.2.1, for Python 2.7 and 3.4:</div><div class=""><br class=""></div><div class=""><a href="https://pypi.python.org/pypi/yt/3.2.1" class="">https://pypi.python.org/pypi/yt/3.2.1</a></div><div class=""><br class=""></div><div class="">The command </div><div class=""><br class=""></div><div class="">pip install yt</div><div class=""><br class=""></div><div class="">should now get the binary distribution on these systems for 3.2.1.</div><div class=""><br class=""></div><div class="">Happy yt-ing!</div><div class=""><br class=""></div><div class="">Best,</div><div class=""><br class=""></div><div class="">John Z</div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">On Sep 9, 2015, at 4:28 PM, Nathan Goldbaum <<a href="mailto:nathan12343@gmail.com" class="">nathan12343@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class=""><div class="">We are proud to announce the release of yt 3.2.1!</div><div class=""><br class=""></div><div class="">yt (<a href="http://yt-project.org/" class="">http://yt-project.org</a>) is an open-source, community-developed toolkit for</div><div class="">analysis and visualization of volumetric data of all types, with a particular</div><div class="">emphasis on astrophysical and nuclear engineering simulations.</div><div class=""><br class=""></div><div class="">Version 3.2.1 is a regularly scheduled bugfix release including fixes for a</div><div class="">number of issues reported since the release of yt 3.2. These changes are</div><div class="">summarized below and include a number of bugfixes, performance improvements, and</div><div class="">documentation improvements. We urge all users of version 3.2 to upgrade to yt</div><div class="">3.2.1 immediately.</div><div class=""><br class=""></div><div class="">Summary of changes</div><div class="">------------------</div><div class=""><br class=""></div><div class="">* Fixed an issue with reading ORION2 star particle data</div><div class="">* The "particle_velocity_cylindrical_radius" field now uses the correct field</div><div class=""> definition.</div><div class="">* Prevent unit test failure from occuring if scipy or astropy is not installed</div><div class="">* Present better error messages when trying to load empty files or directories</div><div class="">* Add support for the fabs ufunc to YTArray</div><div class="">* Remove enzo installation option from the install script</div><div class="">* Fixed issue with the EPS writer when it is supplied a ProfilePlot</div><div class="">* Fixed reading of the NMSU-ART star particle creation time field</div><div class="">* Use a stronger hashing algorithm for calculating selection hashes to fix</div><div class=""> issues with data object selection in Python 3</div><div class="">* Fix an error in the docstrings of Cosmology.t_from_z()</div><div class="">* Fix python3 answer test failure for Enzo species field names</div><div class="">* Fix incorrect use of "normal" instead of "center" in spherical coordinate</div><div class=""> fields.</div><div class="">* Avoid NameError when comparing temperature units with offsets</div><div class="">* Avoid creating YTQuantity instances with more than one value</div><div class="">* Include requirements files and cuda sources in source distribution. Avoid</div><div class=""> including a full docs build.</div><div class="">* Add search bar to main docs page</div><div class="">* Add canonical link for documentation to improve google search results for yt</div><div class=""> documentation</div><div class="">* Use nice latex representation for unit labels returned by</div><div class=""> DerivedField.get_label()</div><div class="">* Add assert_allclose_units to avoid test failures in Numpy 1.10 and newer</div><div class="">* Avoid unsafe casting error in Numpy 1.10 or newer</div><div class="">* Fix incorrect plots created by scripts that call PlotContainer._setup_plots()</div><div class=""> directly.</div><div class="">* Allow the creation of gradient fields based on fields with dimensionless units</div><div class="">* Correct two incorrect paths in the documentation on loading data</div><div class="">* The MaxLocation and MinLocation derived quantities now work correctly with</div><div class=""> non-cartesian data and particle fields.</div><div class="">* Use OrderedDict in PlotWindow answer tests to avoid unstable test names in</div><div class=""> Python 3</div><div class="">* Speed improvements for the absorption_spectrum analysis module</div><div class="">* Speed improvements for smoothed covering grids</div><div class="">* Fixed a small CSS issue in the main docs page</div><div class="">* Fix incorrect velocity and time units for Gadget cosmological datasets</div><div class="">* Use truediv operator in unit object tests for Python 3 compatibility</div><div class="">* Fix several bugs in the photon simulator analysis module.</div><div class="">* Ensure camera width and center are in code units before rendering, avoiding a</div><div class=""> possible segmentation fault.</div><div class="">* Ensure fields passed to process_octree during smoothing are contiguous. Fixes</div><div class=""> a regression in the values of smoothed SPH fields.</div><div class=""><br class=""></div><div class="">Coming Soon!</div><div class="">------------</div><div class=""><br class=""></div><div class="">The next major release of yt will be version 3.3, which is slated to include an</div><div class="">overhaul of the volume rendering system and support for analyzing and</div><div class="">visualizing unstructured mesh data.</div><div class=""><br class=""></div><div class="">Standard Installation Methods</div><div class="">-----------------------------</div><div class=""><br class=""></div><div class="">As with previous releases, you can install yt from source using one of the</div><div class="">following methods.</div><div class=""><br class=""></div><div class="">1) From the install script (<a href="http://yt-project.org/#getyt" class="">http://yt-project.org/#getyt</a> ):</div><div class=""><br class=""></div><div class="">If you previously installed yt from the install script, you can update your</div><div class="">installation in-place using the following command:</div><div class=""><br class=""></div><div class=""># Update</div><div class=""><br class=""></div><div class="">$ yt update</div><div class=""><br class=""></div><div class="">If you are on the “stable” branch, updating will bring you from yt 3.2 to 3.2.1,</div><div class="">incorporating all changes since 3.2, whereas if you are on the development “yt”</div><div class="">branch, only the changes since your last update should be incorporated.</div><div class=""><br class=""></div><div class="">To install from scratch, do the following:</div><div class=""><br class=""></div><div class=""># Installation</div><div class=""><br class=""></div><div class="">$ wget <a href="http://bitbucket.org/yt_analysis/yt/raw/stable/doc/install_script.sh" class="">http://bitbucket.org/yt_analysis/yt/raw/stable/doc/install_script.sh</a></div><div class="">$ bash install_script.sh</div><div class=""><br class=""></div><div class="">2) From pip (source or binary wheel, see below for more details):</div><div class=""><br class=""></div><div class=""># Installation</div><div class=""><br class=""></div><div class="">$ pip install yt</div><div class=""><br class=""></div><div class=""># Update</div><div class=""><br class=""></div><div class="">$ pip install -U yt</div><div class=""><br class=""></div><div class="">3) From the Anaconda Python Distribution</div><div class="">(<a href="https://store.continuum.io/cshop/anaconda/" class="">https://store.continuum.io/cshop/anaconda/</a>):</div><div class=""><br class=""></div><div class=""># Installation</div><div class=""><br class=""></div><div class="">$ conda install yt</div><div class=""><br class=""></div><div class=""># Update</div><div class=""><br class=""></div><div class="">$ conda update yt</div><div class=""><br class=""></div><div class="">Note that it might take up to a week for the conda package built by Continuum</div><div class="">Analytics to be updated for yt 3.2.1.</div><div class=""><br class=""></div><div class="">Installing Binary Packages via pip</div><div class=""><br class=""></div><div class="">If you do not have compilers available, it is also possible to install binary</div><div class="">packages (“wheels”) using pip on Windows and Mac OS X (64-bit only for</div><div class="">both). This has the advantage of not needing to install yt from source using a</div><div class="">proper compiler setup, which has caused occasional problems on both of these</div><div class="">platforms and prevented us from installing yt easily on other Python</div><div class="">distributions.</div><div class=""><br class=""></div><div class="">Note that it may take several days for binary wheels for yt 3.2.1 to be uploaded.</div><div class=""><br class=""></div><div class="">We have so far been able to install and run the binary distribution via pip on</div><div class="">the following platforms and Python stacks:</div><div class=""><br class=""></div><div class="">Note that it might take a day or two for the pip wheels to be updated.</div><div class=""><br class=""></div><div class="">Windows x86_64:</div><div class=""><br class=""></div><div class="">Enthought Canopy Python (<a href="https://www.enthought.com/products/canopy/" class="">https://www.enthought.com/products/canopy/</a>)</div><div class="">WinPython (<a href="http://winpython.sourceforge.net/" class="">http://winpython.sourceforge.net/</a>)</div><div class=""><br class=""></div><div class="">Mac OS X x86_64:</div><div class=""><br class=""></div><div class="">Enthought Canopy Python (<a href="https://www.enthought.com/products/canopy/" class="">https://www.enthought.com/products/canopy/</a>)</div><div class="">Homebrew Python (<a href="http://brew.sh/" class="">http://brew.sh/</a>)</div><div class=""><a href="http://Python.org" class="">Python.org</a> Python</div><div class="">Mac OS X’s system Python</div><div class="">MacPorts Python (<a href="https://www.macports.org/" class="">https://www.macports.org/</a>)</div><div class=""><br class=""></div><div class="">This is somewhat experimental, so other distributions may work (or not), please</div><div class="">submit bug reports or successes to the mailing list or to the Bitbucket issues</div><div class="">page (<a href="http://bitbucket.org/yt_analysis/yt/issues" class="">http://bitbucket.org/yt_analysis/yt/issues</a>).</div><div class=""><br class=""></div><div class="">Both Python 2.7 and Python 3.4 are supported. The dependencies for installing</div><div class="">yt via this method are the same as from source:</div><div class=""><br class=""></div><div class="">NumPy</div><div class="">h5py</div><div class="">HDF5</div><div class="">SymPy</div><div class="">Matplotlib</div><div class="">IPython (not required, but strongly recommended)</div><div class=""><br class=""></div><div class="">To install a new version of yt on one of these platforms, simply do</div><div class=""><br class=""></div><div class="">$ pip install yt</div><div class=""><br class=""></div><div class="">and you should get the binary distribution automatically. Also, if your python</div><div class="">installation is system-wide (e.g., the Mac system Python) you might need to run</div><div class="">pip with administrator privileges.</div><div class=""><br class=""></div><div class="">For more information, including more installation instructions, links to</div><div class="">community resources, and information on contributing to yt’s development, please</div><div class="">see the yt homepage at <a href="http://yt-project.org/" class="">http://yt-project.org</a> and the documentation for yt-3.2 at</div><div class=""><a href="http://yt-project.org/docs/3.2" class="">http://yt-project.org/docs/3.2</a>.</div><div class=""><br class=""></div><div class="">yt is the product of a large community of developers and users and we are</div><div class="">extraordinarily grateful for and proud of their contributions. Please forward</div><div class="">this announcement on to any interested parties.</div><div class=""><br class=""></div><div class="">As always, if you have any questions, concerns, or run into any trouble updating</div><div class="">please don't hesitate to send a message to the mailing list or stop by our IRC</div><div class="">channel.</div><div class=""><br class=""></div><div class="">All the best,</div><div class=""><br class=""></div><div class="">Nathan Goldbaum, </div><div class="">on behalf of the yt development team</div></div>
_______________________________________________<br class="">yt-dev mailing list<br class=""><a href="mailto:yt-dev@lists.spacepope.org" class="">yt-dev@lists.spacepope.org</a><br class="">http://lists.spacepope.org/listinfo.cgi/yt-dev-spacepope.org<br class=""></div></blockquote></div><br class=""></div></body></html>