Пакет-източник: python-fluids (1.0.22-2)
Връзки за python-fluids
Ресурси за Debian:
Отговорници:
Външни препратки:
Следните двоични пакети са компилирани от този пакет-източник:
- python-fluids-doc
- Python fluid dynamics and engineering design library documentation
- python3-fluids
- Python 3 fluid dynamics and engineering design library
Други пакети, свързани с python-fluids
- зависимости при компилиране
|
- зависимости при компилиране (архитектурно-независими)
|
-
- adep:
debhelper-compat
(= 13)
- Пакетът не е наличен
-
- adep:
dh-python
- Debian helper tools for packaging Python libraries and applications
-
- adep:
pandoc
- general markup converter
-
- adep:
python3-all
- package depending on all supported Python 3 runtime versions
-
- adep:
python3-doc
- documentation for the high-level object-oriented language Python 3
-
- adep:
python3-fuzzywuzzy
- Python 3 module for fuzzy string matching
-
- adep:
python3-geopy
- geocoding toolbox for Python3
-
- adep:
python3-ipython
- Enhanced interactive Python shell (Python 3 version)
-
- adep:
python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
-
- adep:
python3-mpmath
- library for arbitrary-precision floating-point arithmetic (Python3)
-
- adep:
python3-nbsphinx
- Jupyter Notebook Tools for Sphinx -- Python 3
-
- adep:
python3-numpy
- Fast array facility to the Python language (Python 3)
-
- adep:
python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
-
- adep:
python3-pandas
- data structures for "relational" or "labeled" data
-
- adep:
python3-pint
- define, operate and manipulate physical quantities - Python 3.x
-
- adep:
python3-pytest
- Simple, powerful testing in Python3
-
- adep:
python3-pytest-cov
- py.test plugin to produce coverage reports for Python3
-
- adep:
python3-scipy
- scientific tools for Python 3
-
- adep:
python3-sphinx
- documentation generator for Python projects
-
- adep:
python3-setuptools
- Python3 Distutils Enhancements
-
- adep:
sphinx-common
- documentation generator for Python projects - common data
