[ 原始碼： scipy ]
套件： python3-scipy (1.3.3-3build1)
python3-scipy 的相關超連結
Trisquel 的資源：
下載原始碼套件 scipy：
維護者：
Original Maintainers:
- Debian Python Modules Team (郵件存檔)
- Ondrej Certik
- David Cournapeau
- Varun Hiremath
外部的資源：
- 主頁 [www.scipy.org]
相似套件：
scientific tools for Python 3
SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package.
SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others.
其他與 python3-scipy 有關的套件
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件提供： libatlas3-base, libblas3, libblis3-openmp, libblis3-pthread, libblis3-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.29)
- GNU C Library: Shared libraries
同時作為一個虛擬套件由這些套件提供： libc6-udeb
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- dep: libgcc-s1 (>= 4.0)
- GCC support library
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- dep: libgfortran5 (>= 8)
- Runtime library for GNU Fortran applications
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件提供： libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: liblbfgsb0 (>= 3.0+dfsg.3)
- Limited-memory quasi-Newton bound-constrained optimization
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.9)
- dep: python3 (>= 3.8~)
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- dep: python3-decorator
- simplify usage of Python decorators by programmers
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- dep: python3-numpy (>= 1:1.16.0~rc1)
- Fast array facility to the Python 3 language
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- dep: python3-numpy-abi9
- 本虛擬套件由這些套件提供： python3-numpy
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- rec: python3-pil
- Python Imaging Library (Python3)
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- sug: python-scipy-doc
- scientific library for Python - documentation