For numerical analysis and signal processing prototyping, you would use Matlab. However, Matlab has some downsides that might make it unsuitable for your project. It might be too expensive. You might be a snobbish programmer that can't stand less-than-elegant programming languages. I certainly am.
So, you look for alternatives. You could take Octave, which is free, but that would not solve that ugly-code issue. You could take any scripting language you fancy, but Ruby, Perl and Python are too slow to do serious number crunching.
Then, you stumble upon that Python package called Numpy, which seems to be nearly as fast as Matlab when it comes to matrix processing and linear algebra. You then discover SciPy, which would add all that signal processing prowess of Matlab (do quick transformations, random numbers, statistics) to your toolbox. Last but not least, you need plotting. That would be Matplotlib then, which provides quick plotting facilities in Python.
And the best thing is, these three systems work really well together. They seem to be the perfect replacement for Matlab that could even be superiour to it in many regards.
Next up, you need to install all that stuff. If you are like me, you naturally want to do all that on a Mac. Also, you kind of dislike all these installer-thingies, which install stuff to unknown places and are nigh impossible to uninstall or update cleanly. Even though, you could of course just go to the individual websites, download Python, Numpy, SciPy and Matplotlib, run them installers, and be done. You would save yourself a lot of trouble that way.
But since you allegedly are like me, you instead fire up
brew and try to install all that stuff using that. Again, you could use MacPorts or Fink instead, but you probably had some bad experiences with them and you generally love the hackishness of Homebrew, so this is your natural first try.
So you set about this, you believe in packet managers and trust them to take care of every obstacle that might be lying in your way. First of all, install the latest developer tools from developer.apple.com. You might need to register (for free) to get them. Also, you need to install Homebrew.
To cut this short, here is what you need to get that Python running:
brew install python
This one should be obvious. At the time of writing, it will install Python 2.7.1. You could take Python 3, but matplotlib is not compatible to it, so you kind of have to stick with 2.7.1 instead.
You also need to put
/usr/local/sbin in the beginning of your path to make sure the new Python gets loaded instead of the pre-installed one. You do that by writing
\~/.bash_profile. (Create it if its not there–it is just a simple text file).
Now, if you type
python --version, you should get
Python 2.7.1 as a response.
Alright, next up, install the python package manager:
brew install distribute brew install pip
This will come preconfigured for your newly installed Python. In an ideal world, this should be all. The world being as it is, the pip package of Matplotlib is severely broken and has one other unstated dependency:
brew install pkg-config
Also, SciPy is using some FORTRAN sources, so you need a fortran compiler:
brew install gfortran
Alright. That was enough. Now on to pip. With all these dependencies cleared, pip should be able to download Numpy and Scipy without trouble:
pip install numpy pip install scipy
Matplotlib, on the other hand, is more difficult to install. You see, pip is looking at the Python package repository PyPi for each package. PyPi then provides a URL. Pip then scans that website for links to suitable package files. But, Sourceforge changed its links a while ago, so pip gets confused and will download an outdated version. Sourceforge says, its new links are way better and no way we will change them back; Pip says, well, if Sourceforge can't provide proper links, that's not our problem. Oh My. Silly children.
So we have to do this manually:
pip install -f http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz matplotlib
That URL comes straight from Sourceforge. Look for the latest version of Matplotlib, search for the download link to the source distribution (
*.tar.gz), copy that link and strip any trailing '/download'.
It seems the matplotlib package was updated in the meantime, so you can just run
pip install matplotlib now.
This should now download and install matplotlib.
Thank you for reading.