[yt-svn] commit/yt: xarthisius: Merged in xarthisius/yt (pull request #2024)
commits-noreply at bitbucket.org
commits-noreply at bitbucket.org
Tue Mar 8 12:38:28 PST 2016
1 new commit in yt:
https://bitbucket.org/yt_analysis/yt/commits/dd18d068b55b/
Changeset: dd18d068b55b
Branch: yt
User: xarthisius
Date: 2016-03-08 20:38:21+00:00
Summary: Merged in xarthisius/yt (pull request #2024)
Update Installation instructions
Affected #: 1 file
diff -r f140f39046ae28939112fbc616be770b5dec38ef -r dd18d068b55ba5b36a3e62f1084d12d510173d8f doc/source/installing.rst
--- a/doc/source/installing.rst
+++ b/doc/source/installing.rst
@@ -19,7 +19,7 @@
* If you do not have root access on your computer, are not comfortable managing
python packages, or are working on a supercomputer or cluster computer, you
will probably want to use the bash all-in-one installation script. This builds
- python, numpy, matplotlib, and yt from source to set up an isolated scientific
+ Python, NumPy, Matplotlib, and yt from source to set up an isolated scientific
python environment inside of a single folder in your home directory. See
:ref:`install-script` for more details.
@@ -35,9 +35,9 @@
up python using a source-based package manager like `Homebrew
<http://brew.sh>`_ or `MacPorts <http://www.macports.org/>`_ this choice will
let you install yt using the python installed by the package manager. Similarly
- for python environments set up via linux package managers so long as you
+ for python environments set up via Linux package managers so long as you
have the the necessary compilers installed (e.g. the ``build-essentials``
- package on debian and ubuntu).
+ package on Debian and Ubuntu).
.. note::
See `Parallel Computation
@@ -199,13 +199,12 @@
If you do not want to install the full anaconda python distribution, you can
install a bare-bones Python installation using miniconda. To install miniconda,
-visit http://repo.continuum.io/miniconda/ and download a recent version of the
-``Miniconda-x.y.z`` script (corresponding to Python 2.7) for your platform and
-system architecture. Next, run the script, e.g.:
+visit http://repo.continuum.io/miniconda/ and download ``Miniconda-latest-...``
+script for your platform and system architecture. Next, run the script, e.g.:
.. code-block:: bash
- bash Miniconda-3.3.0-Linux-x86_64.sh
+ bash Miniconda-latest-Linux-x86_64.sh
For both the Anaconda and Miniconda installations, make sure that the Anaconda
``bin`` directory is in your path, and then issue:
@@ -214,7 +213,28 @@
conda install yt
-which will install yt along with all of its dependencies.
+which will install stable branch of yt along with all of its dependencies.
+
+If you would like to install latest development version of yt, you can download
+it from our custom anaconda channel:
+
+.. code-block:: bash
+
+ conda install -c http://use.yt/with_conda/ yt
+
+New packages for development branch are built after every pull request is
+merged. In order to make sure you are running latest version, it's recommended
+to update frequently:
+
+.. code-block:: bash
+
+ conda update -c http://use.yt/with_conda/ yt
+
+Location of our channel can be added to ``.condarc`` to avoid retyping it during
+each *conda* invocation. Please refer to `Conda Manual
+<http://conda.pydata.org/docs/config.html#channel-locations-channels>`_ for
+detailed instructions.
+
Obtaining Source Code
^^^^^^^^^^^^^^^^^^^^^
@@ -252,7 +272,7 @@
git clone https://github.com/conda/conda-recipes
-Then navigate to the repository root and invoke `conda build`:
+Then navigate to the repository root and invoke ``conda build``:
.. code-block:: bash
@@ -290,7 +310,7 @@
.. code-block:: bash
- $ pip install numpy matplotlib cython cython h5py nose sympy
+ $ pip install numpy matplotlib cython h5py nose sympy
If you're using IPython notebooks, you can install its dependencies
with ``pip`` as well:
@@ -366,7 +386,7 @@
yt update
This will detect that you have installed yt from the mercurial repository, pull
-any changes from bitbucket, and then recompile yt if necessary.
+any changes from Bitbucket, and then recompile yt if necessary.
.. _testing-installation:
Repository URL: https://bitbucket.org/yt_analysis/yt/
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