py-scipy, py-pil, py-ipython
$ sudo port install py-scipy
Password:
---> Computing dependencies for py-scipy
...
---> Cleaning py-scipy
---> Updating database of binaries
---> Scanning binaries for linking errors
---> No broken files found.
That went fast along with the python imaging library. For some reason I was a little hesitant about ipython? So I did some Googling. I found many horror stories, especially when trying to launch python notebook, which is the whole point of this exercise!
I discovered Cait Sydney Pickens in the process! She is an amazing person. I found her CS blog and saw her trials and tribulations with installing ipython. She had also used MacPorts in the end with the addition of installing ipzq, tornado, and nose.
- ipzq - is some type of messaging queue when using python notebook.
- tornado - is a web server
- nose - this package simply will test small units of programming code in python.
- http://ivory.idyll.org/articles/nose-intro.html is a great resource for information.
I may try my luck and see how it goes with MacPorts in just keeping with the original instructions.
Here goes:
In the dependencies when installing I see py-ipzq, and tornado.
Next onto installing Caffe which is a new stumbling block as the installation instructions call for Homebrew and not MacPorts...
I also saw Anaconda mentioned... That's how it goes sometimes.
Off to research!
BTW I do have Notebook running!
Running the command will fire up the web server.
$ ipython-2.7 notebook
This will open a tab in the web browser at http://localhost:8888/
