Branch:
user/anddt/development/glm
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
user/anddt/games/doomseeker
user/anddt/games/prboom-plus
user/anddt/games/rocksndiamonds
user/anddt/games/rottexpr
user/anddt/games/srb2
user/anddt/graphics/blender
user/anddt/graphics/maim
user/anddt/ham/chirp
user/anddt/ham/hamlib
user/anddt/libraries/girara
user/anddt/libraries/goffice
user/anddt/libraries/gtksourceview4
user/anddt/libraries/imlib2
user/anddt/libraries/jsoncpp
user/anddt/libraries/libnova
user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
user/anddt/libraries/wxGTK3
user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
user/anddt/misc/slop
user/anddt/network/nethogs
user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
15.0-20230325.1
15.0-20230318.1
15.0-20230312.1
15.0-20230304.1
15.0-20230225.1
15.0-20230218.1
15.0-20230211.1
15.0-20230204.1
15.0-20230128.1
15.0-20230121.1
15.0-20230114.1
15.0-20230107.1
15.0-20221231.1
15.0-20221223.1
15.0-20221217.1
15.0-20221210.1
15.0-20221203.1
15.0-20221126.1
15.0-20221119.1
15.0-20221112.1
15.0-20221105.1
15.0-20221029.1
15.0-20221020.1
15.0-20221015.1
15.0-20221008.1
15.0-20221001.1
15.0-20220925.1
15.0-20220917.1
15.0-20220910.1
15.0-20220903.1
15.0-20220827.1
15.0-20220820.1
15.0-20220813.1
15.0-20220806.1
15.0-20220730.1
15.0-20220723.1
15.0-20220716.1
15.0-20220709.1
15.0-20220702.1
15.0-20220618.1
15.0-20220611.1
15.0-20220604.1
15.0-20220528.1
15.0-20220521.1
15.0-20220514.1
15.0-20220507.1
15.0-20220430.1
15.0-20220423.1
15.0-20220416.1
15.0-20220409.1
15.0-20220402.1
15.0-20220326.1
15.0-20220320.1
15.0-20220317.1
15.0-20220312.1
15.0-20220311.1
14.2-20210417.1
14.2-20210410.1
14.2-20210403.1
14.2-20210327.1
14.2-20210320.1
14.2-20210313.1
14.2-20210306.1
14.2-20210227.1
14.2-20210220.1
14.2-20210213.1
14.2-20210206.1
14.2-20210130.1
14.2-20210123.1
14.2-20210117.1
14.2-20210109.1
14.2-20210102.1
14.2-20201226.1
14.2-20201219.1
14.2-20201212.1
14.2-20201206.1
14.2-20201128.1
14.2-20201121.1
14.2-20201114.1
14.2-20201107.1
14.2-20201031.1
14.2-20201024.1
14.2-20201017.1
14.2-20201010.1
14.2-20201003.1
14.2-20200926.1
14.2-20200919.1
14.2-20200912.1
14.2-20200905.1
14.2-20200829.1
14.2-20200628.1
14.2-20200620.1
14.2-20200614.1
14.2-20200606.1
14.2-20200601.1
14.2-20200523.1
14.2-20200516.1
14.2-20200510.1
14.2-20200503.1
14.2-20200424.1
14.2-20200419.1
14.2-20200411.1
14.2-20200406.1
14.2-20200404.1
14.2-20200328.1
14.2-20200321.1
14.2-20200314.1
14.2-20200307.1
14.2-20200229.1
14.2-20200223.1
14.2-20200215.1
14.2-20200208.1
14.2-20200201.1
14.2-20200126.1
14.2-20200118.1
14.2-20200112.1
14.2-20200103.1
14.2-20191231.1
14.2-20191221.1
14.2-20191215.1
14.2-20191207.1
14.2-20191201.1
14.2-20191123.1
14.2-20191116.1
14.2-20191109.1
14.2-20191102.1
14.2-20191026.1
14.2-20191019.1
14.2-20191012.1
14.2-20191005.1
14.2-20190928.1
14.2-20190921.1
14.2-20190914.1
14.2-20190907.1
14.2-20190831.1
14.2-20190824.1
14.2-20190818.1
14.2-20190810.1
14.2-20190803.1
14.2-20190727.1
14.2-20190720.1
14.2-20190713.1
14.2-20190706.2
14.2-20190706.1
14.2-20190629.1
14.2-20190622.1
14.2-20190615.1
14.2-20190608.1
14.2-20190601.1
14.2-20190525.1
14.2-20190518.1
14.2-20190511.1
14.2-20190504.1
14.2-20190427.1
14.2-20190420.1
14.2-20190413.1
14.2-20190406.1
14.2-20190330.1
14.2-20190323.1
14.2-20190316.1
14.2-20190302.1
14.2-20190223.1
14.2-20190217.1
14.2-20190209.1
14.2-20190202.1
14.2-20190126.1
14.2-20190119.1
14.2-20190112.1
14.2-20190105.1
14.2-20181229.1
14.2-20181225.1
14.2-20181222.1
14.2-20181215.1
14.2-20181209.1
14.2-20181201.1
14.2-20181124.1
14.2-20181117.1
14.2-20181110.1
14.2-20181103.1
14.2-20181027.1
14.2-20181020.1
14.2-20181013.1
14.2-20181006.1
14.2-20180929.1
14.2-20180923.1
14.2-20180922.1
14.2-20180915.1
14.2-20180908.1
14.2-20180901.1
14.2-20180825.1
14.2-20180818.1
14.2-20180811.1
14.2-20180804.1
14.2-20180728.1
14.2-20180721.1
14.2-20180717.1
14.2-20180714.1
14.2-20180707.1
14.2-20180630.1
14.2-20180623.1
14.2-20180618.1
14.2-20180614.1
14.2-20180609.1
14.2-20180602.1
14.2-20180526.1
14.2-20180520.1
14.2-20180519.1
14.2-20180512.1
14.2-20180504.1
14.2-20180427.1
14.2-20180421.1
14.2-20180414.1
14.2-20180407.1
14.2-20180401.1
14.2-20180331.1
14.2-20180324.1
14.2-20180317.1
14.2-20180310.1
14.2-20180305.1
14.2-20180303.1
14.2-20180224.1
14.2-20180217.1
14.2-20180210.1
14.2-20180203.1
14.2-20180127.1
14.2-20180120.1
14.2-20180117.1
14.2-20180113.1
14.2-20180110.1
14.2-20180106.1
14.2-20171228.1
14.2-20171223.1
14.2-20171221.1
14.2-20171216.1
14.2-20171209.1
14.2-20171201.1
14.2-20171124.1
14.2-20171120.1
14.2-20171118.1
14.2-20171111.1
14.2-20171104.1
14.2-20171101
14.2-20171028.1
14.2-20171021.1
14.2-20171014.2
14.2-20171014.1
14.2-20171010.1
14.2-20171007.1
14.2-20170930.1
14.2-20170923.1
14.2-20170917.1
14.2-20170916.1
14.2-20170909.1
14.2-20170902.1
14.2-20170826.1
14.2-20170819.1
14.2-20170813.1
14.2-20170812.1
14.2-20170805.1
14.2-20170729.1
14.2-20170726.1
14.2-20170722.1
14.2-20170715.1
14.2-20170712.1
14.2-20170708.1
14.2-20170701.1
14.2-20170624.1
14.2-20170617.1
14.2-20170615.1
14.2-20170610.1
14.2-20170606.1
14.2-20170603.1
14.2-20170527.1
14.2-20170520.1
14.2-20170513.1
14.2-20170506.1
14.2-20170429.1
14.2-20170422.1
14.2-20170415.1
14.2-20170413.1
14.2-20170408.2
14.2-20170408.1
14.2-20170401.1
14.2-20170326.1
14.2-20170325.1
14.2-20170318.1
14.2-20170311.1
14.2-20170305.1
14.2-20170304.1
14.2-20170225.1
14.2-20170221.1
14.2-20170218.1
14.2-20170211.1
14.2-20170204.1
14.2-20170128.1
14.2-20170124.1
14.2-20170121.1
14.2-20170114.1
14.2-20170110.1
14.2-20170109.1
14.2-20170107.1
14.2-20161231.1
14.2-20161224.1
14.2-20161217.2
14.2-20161217.1
14.2-20161210.1
14.2-20161204.1
14.2-20161203.1
14.2-20161126.1
14.2-20161119.1
14.2-20161115.1
14.2-20161114.1
14.2-20161112.1
14.2-20161111.1
14.2-20161105.1
14.2-20161029.1
14.2-20161022.1
14.2-20161015.1
14.2-20161008.1
14.2-20161001.2
14.2-20161001.1
14.2-20160925.1
14.2-20160924.1
14.2-20160917.1
14.2-20160914.2
14.2-20160914.1
14.2-20160911.2
14.2-20160911.1
14.2-20160903.1
14.2-20160827.1
14.2-20160820.1
14.2-20160814.1
14.2-20160813.1
14.2-20160807.1
14.2-20160805.1
14.2-20160730.1
14.2-20160724.1
14.2-20160721.1
14.2-20160720.2
14.2-20160720.1
14.2-20160717.2
14.2-20160717.1
14.2-20160709.1
14.2-20160702.2
14.2-20160702.1
14.1-20160902.1
14.1-20160629.1
14.1-20160627.2
14.1-20160627.1
14.1-20160625.1
14.1-20160623.1
14.1-20160619.2
14.1-20160619.1
14.1-20160512.1
14.1-20160419.1
14.1-20160407.1
14.1-20160403.1
14.1-20160321.1
14.1-20160227.1
14.1-20160117.1
14.1-20160113.1
14.1-20160111.1
14.1-20160109.1
14.1-20160101.1
14.1-20151225.2
14.1-20151225.1
14.1-20151219.1
14.1-20151212.1
14.1-20151205.1
14.1-20151128.1
14.1-20151121.1
14.1-20151114.1
14.1-20151107.1
14.1-20151031.1
14.1-20151024.1
14.1-20151018.1
14.1-20151010.1
14.1-20151003.1
14.1-20150926.1
14.1-20150919.1
14.1-20150912.1
14.1-20150906.1
14.1-20150905.1
14.1-20150829.2
14.1-20150829.1
14.1-20150822.1
14.1-20150815.1
14.1-20150809.1
14.1-20150801.1
14.1-20150725.1
14.1-20150716.1
14.1-20150712.1
14.1-20150708.1
14.1-20150704.1
14.1-20150628.2
14.1-20150628.1
14.1-20150620.2
14.1-20150620.1
14.1-20150614.2
14.1-20150614.1
14.1-20150607.1
14.1-20150531.1
14.1-20150524.1
14.1-20150517.1
14.1-20150510.1
14.1-20150503.1
14.1-20150426.1
14.1-20150419.1
14.1-20150412.1
14.1-20150405.1
14.1-20150329.1
14.1-20150322.1
14.1-20150314.1
14.1-20150307.1
14.1-20150228.2
14.1-20150228.1
14.1-20150221.1
14.1-20150215.1
14.1-20150208.1
14.1-20150207.1
14.1-20150131.1
14.1-20150124.1
14.1-20150118.1
14.1-20150110.1
14.1-20150103.1
14.1-20141231.1
14.1-20141228.1
14.1-20141225.1
14.1-20141220.1
14.1-20141213.1
14.1-20141206.1
14.1-20141129.2
14.1-20141129.1
14.1-20141122.1
14.1-20141115.1
14.1-20141107.1
14.1-20141101.1
14.1-20141025.1
14.1-20141018.2
14.1-20141018.1
14.1-20141011.1
14.1-20141005.1
14.1-20140927.1
14.1-20140920.1
14.1-20140913.1
14.1-20140905.2
14.1-20140905.1
14.1-20140830.2
14.1-20140830.1
14.1-20140822.1
14.1-20140815.1
14.1-20140809.1
14.1-20140803.1
14.1-20140722.1
14.1-20140717.1
14.1-20140707.1
14.1-20140705.1
14.1-20140629.2
14.1-20140629.1
14.1-20140623.1
14.1-20140618.1
14.1-20140611.1
14.1-20140604.1
14.1-20140528.1
14.1-20140520.1
14.1-20140514.1
14.1-20140505.1
14.1-20140429.1
14.1-20140427.1
14.1-20140423.1
14.1-20140414.1
14.1-20140413.1
14.1-20140412.1
14.1-20140322.1
14.1-20140321.1
14.1-20140312.1
14.1-20140307.1
14.1-20140221.1
14.1-20140218.1
14.1-20140216.1
14.1-20140211.1
14.1-20140208.1
14.1-20140202.2
14.1-20140202.1
14.1-20140201.1
14.1-20140130.1
14.1-20140107.1
14.1-20131225.1
14.1-20131217.1
14.1-20131214.1
14.1-20131206.1
14.1-20131202.1
14.1-20131130.1
14.1-20131128.1
14.1-20131126.1
14.1-20130321.1
14.0-20131116.1
14.0-20131114.2
14.0-20131114.1
14.0-20131112.1
14.0-20131111.1
14.0-20131106.1
14.0-20131104.1
14.0-20131031.1
14.0-20131030.1
14.0-20131028.1
14.0-20131012.1
14.0-20130714.2
14.0-20130714.1
14.0-20130707.1
14.0-20130702.1
14.0-20130629.1
14.0-20130623.1
14.0-20130616.1
14.0-20130609.1
14.0-20130605.1
14.0-20130604.1
14.0-20130513.1
14.0-20130428.1
14.0-20130415.2
14.0-20130415.1
14.0-20130322.1
14.0-20130304.1
14.0-20130225.1
14.0-20130223.1
14.0-20130214.1
14.0-20130206.1
14.0-20130120.1
14.0-20130110.1
14.0-20130101.1
14.0-20121230.1
14.0-20121225.1
14.0-20121223.1
14.0-20121212.1
14.0-20121124.1
14.0-20121118.1
14.0-20121104.1
14.0-20121018.1
14.0-20121007.2
14.0-20121007.1
14.0-20121002.1
13.37-20120815.1
13.37-20120801.1
13.37-20120721.1
13.37-20120702.1
13.37-20120701.1
13.37-20120603.1
13.37-20120527.1
13.37-20120521.1
13.37-20120514.1
13.37-20120508.1
13.37-20120507.1
13.37-20120430.1
13.37-20120422.1
13.37-20120416.1
13.37-20120409.1
13.37-20120402.1
13.37-20120330.1
13.37-20120329.1
13.37-20120220.2
13.37-20120220.1
13.37-20120218.1
13.37-20120212.1
13.37-20120113.1
13.37-20111231.1
13.37-20111227.1
13.37-20111223.1
13.37-20111222.1
13.37-20111218.2
13.37-20111218.1
13.37-20111211.1
13.37-20111126.2
13.37-20111126.1
13.37-20111105.1
13.37-20111022.1
13.37-20111012.1
13.37-20110929.1
13.37-20110921.1
13.37-20110906.1
13.37-20110905.1
13.37-20110829.1
13.37-20110811.1
13.37-20110722.1
13.37-20110714.1
13.37-20110620.1
13.37-20110613.1
13.37-20110519.1
13.37-20110517.1
13.37-20110503.1
13.37-20110427.1
13.1-20120121.1
13.1-20110406.1
13.1-20110327.1
13.1-20110314.1
13.1-20110310.1
13.1-20110308.1
13.1-20110304.1
13.1-20110301.1
13.1-20110228.1
13.1-20110207.1
13.1-20110116.1
13.1-20110110.1
13.1-20110102.1
13.1-20110101.1
13.1-20101229.1
13.1-20101227.1
13.1-20101221.1
13.1-20101217.1
13.1-20101212.2
13.1-20101212.1
13.1-20101207
13.1-20101205
13.1-20101129.1
13.1-20101122.1
13.1-20101025.1
13.1-20101020.1
13.1-20101018.1
13.1-20101012.1
13.1-20100922.1
13.1-20100912.1
13.1-20100830.1
13.1-20100829.1
13.1-20100823.1
13.1-20100818.1
13.1-20100816.1
13.1-20100815.1
13.1-20100811.1
13.1-20100801.1
13.1-20100726.1
13.1-20100721.1
13.1-20100716.1
13.1-20100711.1
13.1-20100710.1
13.1-20100708.2
13.1-20100708.1
13.1-20100706.1
13.1-20100704.2
13.1-20100704.1
13.1-20100703.2
13.1-20100703.1
13.1-20100702.1
13.1-20100701.2
13.1-20100701.1
13.1-20100630.1
13.1-20100629.1
13.1-20100623.1
13.1-20100620.1
13.1-20100617.2
13.1-20100617.1
13.1-20100616.2
13.1-20100616.1
13.1-20100615.1
13.1-20100614.2
13.1-20100614.1
13.1-20100613
13.1-20100612
13.1-20100609
13.1-20100606
13.1-20100605
13.1-20100527.2
13.1-20100527.1
13.1-20100517
13.1-20100428
13.1-20100422
13.1-20100410
13.1-20100407
13.1-20100324
13.1-20100322
13.1-20100321.2
13.1-20100321
13.1-20100217.1
Isaac Yu
242648acbf
academic/scipy3: Updated for version 1.8.0. New maintainer.
|
2 éve | |
|---|---|---|
| .. | ||
| README | 3f5005bf95 academic/scipy3: Wrap README at 72 columns. | 2 éve |
| scipy3.SlackBuild | 242648acbf academic/scipy3: Updated for version 1.8.0. New maintainer. | 2 éve |
| scipy3.info | 242648acbf academic/scipy3: Updated for version 1.8.0. New maintainer. | 2 éve |
| slack-desc | 2c477bc3a9 academic/scipy3: Update HOMEPAGE. | 7 éve |
README
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering.
The SciPy library is built to work with NumPy arrays, and provides
many user-friendly and efficient numerical routines such as routines
for numerical integration and optimization. Together, they run on
all popular operating systems, are quick to install, and are free of
charge. NumPy and SciPy are easy to use, but powerful enough to be
depended upon by some of the world's leading scientists and engineers.
matplotlib and ipython are nice to have in connection with scipy, but
scipy does not depend on them.
Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
unsymmetric sparse linear systems. If you want to use UMFPACK you
must install it in advance of numpy and build numpy accordingly (see
the README to numpy's SlackBuild). Moreover, after installing scipy,
you have to install scikit-umfpack, which presently is not available
on SlackBuilds.org.
If you need to build scipy for debugging, set DEBUG=y.
NOTE: this is for Python 3. If you need Python 2 support, install
scipy.
science, and engineering.
The SciPy library is built to work with NumPy arrays, and provides
many user-friendly and efficient numerical routines such as routines
for numerical integration and optimization. Together, they run on
all popular operating systems, are quick to install, and are free of
charge. NumPy and SciPy are easy to use, but powerful enough to be
depended upon by some of the world's leading scientists and engineers.
matplotlib and ipython are nice to have in connection with scipy, but
scipy does not depend on them.
Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
unsymmetric sparse linear systems. If you want to use UMFPACK you
must install it in advance of numpy and build numpy accordingly (see
the README to numpy's SlackBuild). Moreover, after installing scipy,
you have to install scikit-umfpack, which presently is not available
on SlackBuilds.org.
If you need to build scipy for debugging, set DEBUG=y.
NOTE: this is for Python 3. If you need Python 2 support, install
scipy.