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Scipy Superpack

Recent builds of fundamental Python scientific computing packages for OS X

This shell script will install recent 64-bit builds of Numpy (1.9) and Scipy (0.14), Matplotlib (1.4), iPython (2.0), Pandas (0.13), Statsmodels (0.6), Scikit-Learn (0.15), as well as PyMC (2.3) for OS X 10.9 (Mavericks) 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. 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.

These packages were compiled on OS X 10.9 using Appleā€™s Python 2.7.5, gFortran 4.8.2 and GCC 4.2.1. To avoid compatibility issues, the installer also optionally downloads and installs the gFortran compiler that is compatible with Xcode 5. Before you install the Superpack, ensure that Xcode 5.0 and the associated command line tools are installed on your system.

The packages are updated approximately every two weeks. Check the repository for the build date.

Dependencies

OS X 10.9 and Xcode 5.0.1. The command line tools for Xcode must be installed. Check the downloads page at Apple's developer site'.

Install

Download Scipy Superpack Installer for OSX 10.9 (right-click to download script)

Alternately, if you have curl installed, you can get the script via:

$ curl -o install_superpack.sh
https://raw.githubusercontent.com/fonnesbeck/ScipySuperpack/master/install_superpack.sh

To install, open a terminal in the directory that the script is located and call:

$ sh install_superpack.sh

You will be prompted for your administrator password. If you have already installed the current gFortran, you can bypass that package during the install process. Similarly, the installation requires Git, so you will be prompted to install it if you are installing remotely.

Contact

Contact Chris Fonnesbeck or follow me on Twitter.

Download

Installation does not require manual downloading of packages. However, you can download this project in either zip or tar formats.

You can also clone the project with Git by running:

$ git clone git://github.com/fonnesbeck/ScipySuperpack

Older Releases

If you are still running OS X 10.8, you can still install the Superpack using the appropriate tagged commit on GitHub. One way to do this is to visit the Superpack tags page, and download a zip file of the tagged release (10.8_final). Unzip the bundle and run the script. You can also try downloading the script from the 10.8 branch directly, and running it.