Ağaç:
331a473f1a
11.0
12.0
12.1
12.2
13.0
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13.37
14.0
14.1
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15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
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python-renames
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urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
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user/anddt/libraries/libopenmpt
user/anddt/libraries/libtorrent
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user/anddt/libraries/xmlrpc-c
user/anddt/misc/discount
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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
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Dimitris Zlatanidis
7114aaab77
development/pandas: Fix deps.
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2 yıl önce | |
|---|---|---|
| .. | ||
| README | 2d4b5ee090 development/pandas: Fix README. | 4 yıl önce |
| pandas.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | 3 yıl önce |
| pandas.info | 7114aaab77 development/pandas: Fix deps. | 2 yıl önce |
| slack-desc | 9da5bc0dff development/pandas: Added (Powerful data structures). | 10 yıl önce |
README
Pandas is an open source, BSD-licensed library providing
high-performance, easy-to-use data structures and data analysis tools
for the Python programming language.
Recommended Dependencies:
numexpr: for accelerating certain numerical operations. numexpr uses
multiple cores as well as smart chunking and caching to achieve
large speedups
bottleneck: for accelerating certain types of NaN evaluations.
bottleneck uses specialized cython routines to achieve
large speedups.
high-performance, easy-to-use data structures and data analysis tools
for the Python programming language.
Recommended Dependencies:
numexpr: for accelerating certain numerical operations. numexpr uses
multiple cores as well as smart chunking and caching to achieve
large speedups
bottleneck: for accelerating certain types of NaN evaluations.
bottleneck uses specialized cython routines to achieve
large speedups.