Source Package: python-ulmo (0.8.4+dfsg1-2)
Links for python-ulmo
Debian-palvelut:
Ylläpitäjät:
External Resources:
Seuraavat binääripaketit on käännetty tästä lähdepaketista:
- python-ulmo
- Simple & fast Python access to public hydrology & climatology data
- python-ulmo-doc
- Simple & fast Python access to public hydrology & climatology data - docs
- python3-ulmo
- Simple & fast Python 3 access to public hydrology & climatology data
Muut pakettiin python-ulmo liittyvät paketit
-
- adep:
debhelper
(>= 11)
- helper programs for debian/rules
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pandoc
- general markup converter
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- adep:
dh-python
- Debian helper tools for packaging Python libraries and applications
-
- adep:
python-all
- package depending on all supported Python2 runtime versions
-
- adep:
python-appdirs
- determining appropriate platform-specific directories (Python 2)
-
- adep:
python-bs4
- error-tolerant HTML parser for Python
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- adep:
python-doc
- documentation for the high-level object-oriented language Python2
-
- adep:
python-freezegun
- Python library to mock the datetime module in unit testing
-
- adep:
python-future
- single-source support for Python 3 and 2 - Python 2.x
-
- adep:
python-geojson
- Python 2 bindings and utilities for GeoJSON
-
- adep:
python-html5lib
- HTML parser/tokenizer based on the WHATWG HTML5 specification
-
- adep:
python-httpretty
- HTTP client mock - Python 2.x
-
- adep:
python-isodate
- ISO 8601 date/time/duration parser and formatter (Python module)
-
- adep:
python-lxml
- pythonic binding for the libxml2 and libxslt libraries
-
- adep:
python-mock
- Mocking and Testing Library
-
- adep:
python-numpy
- Numerical Python adds a fast array facility to the Python language
-
- adep:
python-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python 2
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- adep:
python-pandas
- data structures for "relational" or "labeled" data
-
- adep:
python-pytest
- Simple, powerful testing in Python
-
- adep:
python-requests
- elegant and simple HTTP library for Python2, built for human beings
-
- adep:
python-setuptools
- Python Distutils Enhancements
-
- adep:
python-sphinx
- documentation generator for Python projects (implemented in Python 2)
-
- adep:
python-suds
- Lightweight SOAP client for Python - Python 2.7
-
- adep:
python-tables
- hierarchical database for Python based on HDF5
-
- adep:
python3-all
- package depending on all supported Python 3 runtime versions
-
- adep:
python3-appdirs
- determining appropriate platform-specific directories (Python 3)
-
- adep:
python3-bs4
- error-tolerant HTML parser for Python 3
-
- adep:
python3-doc
- documentation for the high-level object-oriented language Python 3
-
- adep:
python3-freezegun
- Python3 library to mock the datetime module in unit testing
-
- adep:
python3-future
- Clean single-source support for Python 3 and 2 - Python 3.x
-
- adep:
python3-geojson
- Python 3 bindings and utilities for GeoJSON
-
- adep:
python3-html5lib
- HTML parser/tokenizer based on the WHATWG HTML5 specification
-
- adep:
python3-httpretty
- HTTP client mock - Python 3.x
-
- adep:
python3-isodate
- ISO 8601 date/time/duration parser and formatter (Python 3 module)
-
- adep:
python3-lxml
- pythonic binding for the libxml2 and libxslt libraries
-
- adep:
python3-mock
- Mocking and Testing Library (Python3 version)
-
- adep:
python3-numpy
- Fast array facility to the Python 3 language
-
- adep:
python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
-
- adep:
python3-pandas
- data structures for "relational" or "labeled" data - Python 3
-
- adep:
python3-pytest
- Simple, powerful testing in Python3
-
- adep:
python3-requests
- elegant and simple HTTP library for Python3, built for human beings
-
- adep:
python3-setuptools
- Python3 Distutils Enhancements
-
- adep:
python3-sphinx
- documentation generator for Python projects (implemented in Python 3)
-
- adep:
python3-suds
- Lightweight SOAP client for Python - Python 3.x
-
- adep:
python3-tables
- hierarchical database for Python3 based on HDF5
-
- adep:
sphinx-common
- documentation generator for Python projects - common data
