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* Add bootstrap script to install instructions

This commit is contained in:
Matthew Honnibal 2015-03-16 14:14:00 -04:00
parent b924a4d642
commit d345f53dbc
1 changed files with 17 additions and 18 deletions
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docs/source/quickstart.rst
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@ -9,20 +9,27 @@ Install
.. code:: bash .. code:: bash
With Python 2.7 or Python 3, using Linux or OSX, run:
$ pip install spacy $ pip install spacy
$ python -m spacy.en.download $ python -m spacy.en.download
The download command fetches and installs about `300mb of data`_, for the
parser model and word vectors, which it installs within the spacy.en package directory.
.. _300 mb of data: http://s3-us-west-1.amazonaws.com/media.spacynlp.com/en_data_all-0.4.tgz .. _300 mb of data: http://s3-us-west-1.amazonaws.com/media.spacynlp.com/en_data_all-0.4.tgz
Compilation from source will install Cython to build the package. If you're
using Python 2, I also recommend installing fabric and fabtools --- this is how
I build the project.
I've included instructions for installing spaCy into a virtualenv for The download command fetches and installs about 300mb of data, for the
completeness, but you may have your own solution for this (e.g. using pyenv). parser model and word vectors, which it installs within the spacy.en package directory.
If you're stuck using a server with an old version of Python, and you don't
have root access, I've prepared a bootstrap script to help you compile a local
Python install. Run:
$ curl https://raw.githubusercontent.com/honnibal/spaCy/master/bootstrap_python_env.sh | bash && source .env/bin/activate
The other way to install the package is to clone the github repository, and
build it from source. This installs an additional dependency, Cython.
If you're using Python 2, I also recommend installing fabric and fabtools ---
this is how I build the project.
.. code:: bash .. code:: bash
@ -117,17 +124,9 @@ the original orthographic form of the word.
.. py:method:: nbor(self, i=1) --> Token .. py:method:: nbor(self, i=1) --> Token
.. py:attribute:: n_lefts --> int .. py:method:: child(self, i=1) --> Token
.. py:attribute:: n_rights --> int .. py:method:: sibling(self, i=1) --> Token
.. py:attribute:: lefts --> Iterator[Token]
.. py:attribute:: rights --> Iterator[Token]
.. py:attribute:: children --> Iterator[Token]
.. py:attribute:: subtree --> Iterator[Token]
.. py:attribute:: head: Token .. py:attribute:: head: Token