只搜尋版本： [bullseye] [bullseye-updates] [bullseye-backports] [bookworm] [bookworm-updates] [bookworm-backports] [trixie] [trixie-updates] [trixie-backports] [forky] [sid] [experimental]
只搜尋架構： [alpha] [amd64] [arm] [arm64] [armel] [armhf] [avr32] [hppa] [hurd-i386] [i386] [ia64] [kfreebsd-amd64] [kfreebsd-i386] [loong64] [m68k] [mips] [mips64el] [mipsel] [powerpc] [powerpcspe] [ppc64] [ppc64el] [riscv64] [s390] [s390x] [sh4] [sparc] [sparc64] [x32]
您在所有發行版中所有架構下所有版面裡，指定關鍵字 python3-numpy 在套件名稱中搜索的結果。 找到 7 個匹配的套件。
完整匹配
套件 python3-numpy
- bullseye (oldoldstable) (python):
Fast array facility to the Python 3 language
1:1.19.5-1: amd64 arm64 armhf i386 - bookworm (oldstable) (python):
Fast array facility to the Python 3 language
1:1.24.2-1+deb12u1: amd64 arm64 armel armhf i386 mips64el mipsel ppc64el s390x - trixie (stable) (python):
Python library for numerical computations (Python 3)
1:2.2.4+ds-1: amd64 arm64 armel armhf i386 ppc64el riscv64 s390x - forky (testing) (python):
Python library for numerical computations (Python 3)
1:2.2.4+ds-1: amd64 arm64 armhf i386 ppc64el riscv64 s390x - sid (unstable) (python):
Python library for numerical computations (Python 3)
1:2.2.4+ds-1.2: amd64 arm64 armel armhf i386 loong64 m68k mips64el ppc64 ppc64el s390x sh4
1:2.2.4+ds-1.1 [debports]: hppa sparc64
1:2.2.4+ds-1: alpha riscv64
1:2.2.2+ds-2 [debports]: x32
1:1.26.4+ds-8 [debports]: ia64
部分匹配
套件 python3-numpy-dbg
- bullseye (oldoldstable) (debug):
Fast array facility to the Python 3 language (debug extension)
1:1.19.5-1: amd64 arm64 armhf i386
套件 python3-numpy-dbgsym
- sid (unstable) (debug):
debug symbols for python3-numpy
1:2.2.4+ds-1.2 [debports]: loong64 m68k ppc64 sh4
1:2.2.4+ds-1.1 [debports]: hppa sparc64
1:2.2.4+ds-1 [debports]: alpha
1:2.2.2+ds-2 [debports]: x32
1:1.26.4+ds-8 [debports]: ia64
1:1.24.2-1 [debports]: riscv64
套件 python3-numpy-dev
- bullseye (oldoldstable):
虛擬套件
由這些套件填實： python3-numpy - bookworm (oldstable):
虛擬套件
由這些套件填實： python3-numpy - trixie (stable) (python):
Python library for numerical computations (Python 3 headers)
1:2.2.4+ds-1: amd64 arm64 armel armhf i386 ppc64el riscv64 s390x - forky (testing) (python):
Python library for numerical computations (Python 3 headers)
1:2.2.4+ds-1: amd64 arm64 armhf i386 ppc64el riscv64 s390x - sid (unstable) (python):
Python library for numerical computations (Python 3 headers)
1:2.2.4+ds-1.2: amd64 arm64 armel armhf i386 loong64 m68k mips64el ppc64 ppc64el s390x sh4
1:2.2.4+ds-1.1 [debports]: hppa sparc64
1:2.2.4+ds-1 [debports]: alpha riscv64
1:2.2.2+ds-2 [debports]: x32
同時提供該套件的還有： python3-numpy
套件 python3-numpy-groupies
- bullseye (oldoldstable) (python):
performs operations on/with subsets of n-dim arrays
0.9.13-1: all - bookworm (oldstable) (python):
performs operations on/with subsets of n-dim arrays
0.9.20-1: all - trixie (stable) (python):
performs operations on/with subsets of n-dim arrays
0.10.2-2: all - forky (testing) (python):
performs operations on/with subsets of n-dim arrays
0.10.2-2: all - sid (unstable) (python):
performs operations on/with subsets of n-dim arrays
0.10.2-2: all
套件 python3-numpydoc
- bullseye (oldoldstable) (python):
Sphinx extension to support docstrings in Numpy format -- Python3
1.1.0-3: all - bookworm (oldstable) (python):
Sphinx extension to support docstrings in Numpy format -- Python3
1.5.0-1: all - trixie (stable) (python):
Sphinx extension to support docstrings in Numpy format -- Python3
1.8.0-1: all - forky (testing) (python):
Sphinx extension to support docstrings in Numpy format -- Python3
1.9.0-1: all - sid (unstable) (python):
Sphinx extension to support docstrings in Numpy format -- Python3
1.9.0-1: all
套件 python3-numpysane
- bullseye (oldoldstable) (python):
more-reasonable core functionality for numpy
0.31-1: all - bookworm (oldstable) (python):
more-reasonable core functionality for numpy
0.36-1: all - trixie (stable) (python):
more-reasonable core functionality for numpy
0.42-1: all - forky (testing) (python):
more-reasonable core functionality for numpy
0.42-1: all - sid (unstable) (python):
more-reasonable core functionality for numpy
0.42-1: all