python-nitime-doc_0.7-1~nd16.04+1_all.deb


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Description

python-nitime-doc - timeseries analysis for neuroscience data (nitime) -- documentation

Property Value
Distribution Ubuntu 16.04 LTS (Xenial Xerus)
Repository NeuroDebian Main i386
Package filename python-nitime-doc_0.7-1~nd16.04+1_all.deb
Package name python-nitime-doc
Package version 0.7
Package release 1~nd16.04+1
Package architecture all
Package type deb
Category doc
Homepage http://nipy.org/nitime
License -
Maintainer NeuroDebian Maintainers <team@neuro.debian.net>
Download size 5.44 MB
Installed size 7.64 MB
Nitime is a Python module for time-series analysis of data from
neuroscience experiments.
This package provides the documentation in HTML format.

Alternatives

Package Version Architecture Repository
python-nitime-doc_0.7-1~nd16.04+1_all.deb 0.7 all NeuroDebian Main
python-nitime-doc_0.6-1_all.deb 0.6 all Ubuntu Universe
python-nitime-doc_0.6-1_all.deb 0.6 all Ubuntu Universe
python-nitime-doc - - -

Requires

Name Value
libjs-jquery -
libjs-underscore -
neurodebian-popularity-contest -

Download

Type URL
Mirror neurodebian.ovgu.de
Binary Package python-nitime-doc_0.7-1~nd16.04+1_all.deb
Source Package nitime

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb http://neurodebian.ovgu.de/debian/ xenial main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver hkp://pgp.mit.edu:80 0xA5D32F012649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-nitime-doc deb package:
    # sudo apt-get install python-nitime-doc

See Also

Package Description
python-nitime_0.7-1~nd16.04+1_all.deb timeseries analysis for neuroscience data (nitime)
python-numexpr_2.6.2-1~nd16.04+1_i386.deb Fast numerical array expression evaluator for Python and NumPy
python-opengl_3.1.0+dfsg-1~nd16.04+1_all.deb Python bindings to OpenGL (Python 2)
python-openpyxl_2.3.0-3~nd16.04+1_all.deb module to read/write OpenXML xlsx/xlsm files
python-pandas-doc_0.19.2-1~nd16.04+1_all.deb documentation and examples for pandas
python-pandas-lib_0.19.2-1~nd16.04+1_i386.deb low-level implementations and bindings for pandas
python-pandas_0.19.2-1~nd16.04+1_all.deb data structures for "relational" or "labeled" data
python-patsy-doc_0.4.1+git34-ga5b54c2-1~nd16.04+1_all.deb documentation and examples for patsy
python-patsy_0.4.1+git34-ga5b54c2-1~nd16.04+1_all.deb statistical models in Python using symbolic formulas
python-pkg-resources_20.10.1-1.1~bpo8+1~nd16.04+1_all.deb Package Discovery and Resource Access using pkg_resources
python-pprocess_0.5-2~nd16.04+1_all.deb elementary parallel programming for Python
python-props_0.10.1-1~nd16.04+1_all.deb Python descriptor framework
python-prov-doc_1.4.0-1~nd16.04+1_all.deb documentation for prov
python-prov_1.4.0-1~nd16.04+1_all.deb W3C Provenance Data Model (Python 2)
python-py_1.4.31-2~nd16.04+1_all.deb Advanced Python development support library (Python 2)
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