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10.8 update

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commit 7ef14695081da7e6507066085ca8eb5afe2b6267 1 parent 4db963b
@fonnesbeck authored
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16 index.html
@@ -59,8 +59,8 @@
Recent builds of fundamental Python scientific computing packages for OS X
</div><img src="images/superpack_installer.png">
<p>
- This shell script will install recent 64-bit builds of <a href="http://numpy.scipy.org">Numpy</a> (1.7) and <a href="http://scipy.org/">Scipy</a> (0.10.1), <a href="http://matplotlib.sourceforge.net">Matplotlib</a> (1.2), <a href="http://ipython.org">iPython</a> (0.13), <a href="http://pandas.sourceforge.net/">Pandas</a> (0.8.1), <a href="https://github.com/statsmodels/statsmodels">Statsmodels</a> (0.5.0), <a href="http://github.com/scikit-learn/scikit-learn">Scikit-Learn</a> 0.12, as well as <a href="https://github.com/pymc-devs/pymc">PyMC</a> (2.2 beta) for OS X 10.7 (Lion) on Intel Macintosh. In addition, a handful of support packages are installed, such as nose, readline and DateUtils. All builds are based on recent development code from each package, which means though some bugs may be fixed and features added, they also may be more unstable than the official releases<a href="#foot1">[1]</a>. Distributing them together should improve interoperability, since the supporting packages (Scipy, Matplotlib, PyMC) were all built against the accompanying build of Numpy. I encourage all users to run the appropriate unit tests on each package to ensure that any extant issues do not affect your work. Please report any errors that may be the result of build issues.</p>
-<p>These packages were compiled on OS X 10.7.3 using Apple’s Python 2.7.1, gFortran 4.2.4 and GCC 4.2.1. To avoid compatibility issues, the installer also optionally downloads and installs the gFortran compiler that is compatible with Xcode 4.3.2. Before you install the Superpack, ensure that <a href="http://itunes.apple.com/us/app/xcode/id448457090?mt=12">Xcode 4.3.2</a> and the associated command line tools are installed on your system.
+ This shell script will install recent 64-bit builds of <a href="http://numpy.scipy.org">Numpy</a> (1.8) and <a href="http://scipy.org/">Scipy</a> (0.12), <a href="http://matplotlib.sourceforge.net">Matplotlib</a> (1.2), <a href="http://ipython.org">iPython</a> (0.14), <a href="http://pandas.sourceforge.net/">Pandas</a> (0.8.2), <a href="https://github.com/statsmodels/statsmodels">Statsmodels</a> (0.5.0), <a href="http://github.com/scikit-learn/scikit-learn">Scikit-Learn</a> 0.12, as well as <a href="https://github.com/pymc-devs/pymc">PyMC</a> (2.2) for OS X 10.8 (Mountain Lion) on Intel Macintosh. In addition, a handful of support packages are installed, such as nose, readline and DateUtils. All builds are based on recent development code from each package, which means though some bugs may be fixed and features added, they also may be more unstable than the official releases<a href="#foot1">[1]</a>. Distributing them together should improve interoperability, since the supporting packages (Scipy, Matplotlib, PyMC) were all built against the accompanying build of Numpy. I encourage all users to run the appropriate unit tests on each package to ensure that any extant issues do not affect your work. Please report any errors that may be the result of build issues.</p>
+<p>These packages were compiled on OS X 10.8 using Apple’s Python 2.7.2, gFortran 4.2.4 and GCC 4.2.1. To avoid compatibility issues, the installer also optionally downloads and installs the gFortran compiler that is compatible with Xcode 4.4. Before you install the Superpack, ensure that <a href="http://itunes.apple.com/us/app/xcode/id448457090?mt=12">Xcode 4.4</a> and the associated command line tools are installed on your system.
</p>
<p>
The packages are updated approximately every two weeks. Check <a href="https://github.com/fonnesbeck/ScipySuperpack">the repository</a> for the build date.
@@ -69,13 +69,13 @@
Dependencies
</h2>
<p>
- OS X 10.7 (Lion), Python 2.7, Xcode 4.3.2
+ OS X 10.8 (Lion), Python 2.7, Xcode 4.4
</p>
<h2>
Install
</h2>
<p>
- <a href="https://raw.github.com/fonnesbeck/ScipySuperpack/master/install_superpack.sh">Download Scipy Superpack Installer for OSX 10.7</a> <p><i>(right-click to download script)</i>
+ <a href="https://raw.github.com/fonnesbeck/ScipySuperpack/master/install_superpack.sh">Download Scipy Superpack Installer for OSX 10.8</a> <p><i>(right-click to download script)</i>
</p>
<p>
To install, open a terminal in the directory that the script is located and call:
@@ -95,13 +95,19 @@
</h2>
<p>
Installation does not require manual downloading of packages. However, you can download this project in either <a href="https://github.com/fonnesbeck/ScipySuperpack/zipball/master">zip</a> or <a href="https://github.com/fonnesbeck/ScipySuperpack/tarball/master">tar formats.</a>
- </p><a href="https://github.com/fonnesbeck/ScipySuperpack/tarball/master"></a>
+ </p>
<p>
You can also clone the project with <a href="http://git-scm.com">Git</a> by running:
</p>
<pre>
$ git clone git://github.com/fonnesbeck/ScipySuperpack
</pre>
+ <h2>
+ Older Releases
+ </h2>
+ <p>
+ If you are still running OS X 10.7.4, you can still install the Superpack using the appropriate tagged commit on GitHub. One way to do this is to visit the <a href="https://github.com/fonnesbeck/ScipySuperpack/tags">PyMC tags page</a>, and download a zip file of the tagged release. Unzip the bundle and run the script. When the installer asks you <i>Are you installing from a repository cloned to this machine</i>, answer yes (y), rather than no.
+ </p>
<div class="footer">
get the source code on GitHub : <a href="https://github.com/fonnesbeck/ScipySuperpack">fonnesbeck/ScipySuperpack</a>
</div>
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