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1 files changed, 15 insertions, 3 deletions
diff --git a/source/installation.rst b/source/installation.rst
index d000661..e547d3b 100644
--- a/source/installation.rst
+++ b/source/installation.rst
@@ -15,6 +15,19 @@ A "stack" is a collection of software designed to target the various use cases o
- The data processing environment used by STScI operations and instrument teams
- Python 3.x only
+.. _configure_astroconda_channel:
+
+
+Configure Conda to use the Astroconda Channel
+=============================================
+
+In order to install packages directly from the AstroConda channel you will need to append our URL to Conda's channel search path.
+
+.. code-block:: sh
+
+ $ conda config --add channels http://ssb.stsci.edu/astroconda
+ # Writes changes to ~/.condarc
+
.. _standard_install:
@@ -49,8 +62,7 @@ Legacy Software Stack (with IRAF)
The maintainers of the AstroConda channel have limited resources to support :abbr:`IRAF (Image Reduction and Analysis Facility)`, but users that require the ability to run IRAF and PyRAF tasks may want to install it via AstroConda. For help with any issues that come up during installation or use, please visit the `PyRAF FAQ <http://www.stsci.edu/institute/software_hardware/pyraf/pyraf_faq>`_. **Linux users** please be sure to visit `this FAQ entry <faq.html#in-linux-how-do-i-install-iraf-s-32-bit-dependencies>`_ for a quick guide to installing IRAF's 32-bit dependencies.
-
-The package management system, Conda, is now configured to pull from our repository, so you may go ahead and install the ``stsci`` package, as well as ``pyraf``, and finally ``iraf``. The ``stsci`` package installs nearly all of the software provided by STScI in one shot, however if you prefer a slimmed down IRAF/PyRAF experience, feel free to omit it.
+The package management system, Conda, is now configured to pull from our repository, so you may go ahead and install the ``iraf-all`` package, as well as ``pyraf-all``, and finally ``stsci``. The ``stsci`` package installs nearly all of the software provided by STScI in one shot, however if you prefer a slimmed down IRAF/PyRAF experience, feel free to omit it.
Due to Python 3.x incompatibilities present in several tasks, it is recommended to install IRAF alongside Python 2.7.
@@ -58,7 +70,7 @@ The following example generates a new conda environment named "iraf27", however
.. code-block:: sh
- $ conda create -n iraf27 python=2.7 stsci pyraf iraf
+ $ conda create -n iraf27 python=2.7 iraf-all pyraf-all stsci
After the installation is complete go ahead and activate the "iraf27" environment. This command only needs to be executed one time per terminal session.