- #Macports python pip how to
- #Macports python pip for mac os x
- #Macports python pip install
- #Macports python pip license
Writing namespace_packages to Lib/pyobjc_core.egg-info/namespace_packages.txt Writing dependency_links to Lib/pyobjc_core.egg-info/dependency_links.txt Writing Lib/pyobjc_core.egg-info/PKG-INFO Writing include/pyobjc-api.h to Lib/pyobjc_core.egg-info/include/pyobjc-api.h Writing include/pyobjc-compat.h to Lib/pyobjc_core.egg-info/include/pyobjc-compat.h The following dependencies will be installed:Įrror: Failed to build p圓6-pyobjc: command execution failedĮrror: See /opt/local/var/macports/logs/_opt_local_var_macports_sources_release_tarballs_ports_python_py-pyobjc/p圓6-pyobjc/main.log for details.Ĭd /opt/local/var/macports/build/_opt_local_var_macports_sources_release_tarballs_ports_python_py-pyobjc/p圓6-pyobjc/work/pyobjc-core-3.0.4 > Computing dependencies for p圓6-matplotlib Friedlander.I tried it on my G5 with MacPorts 2.4.2 but it pulled in way more depencies : Jun 6th 2013: incorporated MacPorts tricks suggested by David P. If you run into troubleįeel free to contact 30th 2013: created by Rodrigo Nemmen. Please follow the instructions described in this blog.
#Macports python pip install
If you feel adventurous, you can use Apple’s builtin python interpreter and install everything using pip. * Finally, macports can create conflicts between different python interpreters installed in your system Using Apple’s Python interpreted and pip * If you like having the bleeding edge versions, note that it can take a while for them to be released on macports * It can take a couple of hours to finish the installation depending on your machine and internet connection, since macports will download and compile everything as it goes.
The advantage of this method is that it easy to do. In order to select the MacPorts IPython as the default interpreter. (the above dependencies are required in order to run IPython notebook.)įinally, run: sudo port select -set ipython ipython27 (the reason to use the ‘variant’ for scipy is that otherwise it will try to build some other version of gcc/gfortran, probably unnecessarily duplicating the compiler and taking a lot longer to build.)Īfterwards, issue the command sudo port install py27-numpy py27-matplotlib py27-pyfits py27-pywcs py27-ipython py27-pytools py27-pipĪnd: sudo port install py27-zmq py27-tornado py27-nose First download and install macports and then issue the following command in a terminal: sudo port install py27-scipy +gcc47 You can try installing everything using MacPorts. If the above two methods do not work for OS X The MacPorts way
Just download the installer and execute it.Īnaconda includes most of the packages we will use and it is pretty easy to install additional packages if required.
The installations instructions are available here. In this case, we recommend downloading and installing the Anaconda Python distribution. This is the case for example for GSFC employees and many GSFC postdocs. If you are not affiliated with an university
#Macports python pip license
Note that you need the academic license in order to install the 64-bit (recommended) version.
#Macports python pip for mac os x
The installation instructions are available here, which has installers for Mac OS X and Windows. Enthought includes all the packages we will use during the course. Then the easiest way to install Python and the other packages is to request an academic license and download the Enthought Canopy Python distribution. Mac OS X, Windows If you are affiliated with an academic institution Assuming that you are running Debian or Ubuntu, you just need to execute the following command in the terminal: sudo apt-get install python-numpy python-scipy python-matplotlib ipython-notebookįor Fedora users, you can use the yum tool. In Linux, the installation instructions are pretty straightforward.
#Macports python pip how to
This page describes how to install Python and the other packages (Numpy, Scipy, IPython, Matplotlib) required for the course for Mac OS X, Linux and Windows.
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