packages
[ 原始碼： python-skbio ]
套件： python3-skbio (0.7.3-1) [universe]
python3-skbio 的相關超連結
Ubuntu 的資源：
下載原始碼套件 python-skbio：
維護者：
Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.
Original Maintainers (usually from Debian):
- Debian Med Packaging Team (郵件存檔)
- Andreas Tille
- Kevin Murray
- Étienne Mollier
It should generally not be necessary for users to contact the original maintainer.
外部的資源：
- 主頁 [github.com]
相似套件：
Python3 data structures, algorithms, educational resources for bioinformatic
其他與 python3-skbio 有關的套件
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- dep: libc6 (>= 2.14) [amd64]
- GNU C Library: Shared libraries
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.32) [ppc64el]
- dep: libc6 (>= 2.4) [s390x]
-
- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.15)
- dep: python3 (>= 3.14~)
-
- dep: python3-array-api-compat
- Python3 array API compatibility library
-
- dep: python3-biom-format
- Biological Observation Matrix (BIOM) format (Python 3)
-
- dep: python3-decorator
- simplify usage of Python decorators by programmers
-
- dep: python3-h5py (>= 3.6.0)
- general-purpose Python interface to hdf5
-
- dep: python3-hdmedians
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-
- dep: python3-natsort
- Natural sorting for Python (Python3)
-
- dep: python3-numpy
- Python library for numerical computations (Python 3)
-
- dep: python3-numpy2-abi0
- 本虛擬套件由這些套件提供： python3-numpy
- 或者 python3-numpy-abi9
- 套件暫時不可用
-
- dep: python3-pandas
- data structures for "relational" or "labeled" data
-
- dep: python3-patsy
- statistical models in Python using symbolic formulas
-
- dep: python3-requests
- elegant and simple HTTP library for Python3, built for human beings
-
- dep: python3-scipy
- scientific tools for Python 3
-
- dep: python3-statsmodels
- Python3 module for the estimation of statistical models
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- sug: python-skbio-doc (= 0.7.3-1)
- Data structures, algorithms, educational resources for bioinformatics (docs)