Pierre, Yes, I am using the Snow Leopard OSX. Should I be coding through the Xcode interface and not Python's IDLE shell?
You distinguish between system wide installation and user installation. You may have seen from my post to Eric, that I found and installed .dmg downloads for numpy and matplotlib. I have tried to figure out where these installed themselves, but I haven't found them in the user folder. I assume they have been installed system wide. Is this going to be a problem? Scot On Thu, Nov 19, 2009 at 2:57 PM, Pierre GM <[email protected]> wrote: > > On Nov 19, 2009, at 4:34 PM, Scot Denhalter wrote: > > > I am a beginning programmer who is reading Natural Language Processing > with Python. The book provides tutorials for working with the NLTK, which > needs numpy to run certain calculations. I have downloaded and installed > Python 2.6. I have downloaded numpy 1.3.0, but I cannot figure out how to > install it. I have read the Install.txt that is included, but I don't > understand exactly what I need to do. The instructions are clear enough for > those familiar with the programming world, but I am obviously not the > document's target reader. > > > > I am working with a MacBook Pro and do not have either fortran compiler > installed. Can someone give me some guidance? > > Ciao Scott. > First of all, don't panic... > Mac OS 10.6.2 ? You have installed Xcode ? You're basically good to go. > * Install nose (I use pip for the install), system-wide is fine. > * Grab a fortran compiler here: http://r.research.att.com/tools/ > * Unzip your numpy sources archive > * In the directory that gets created, enter in Terminal (or iTerm): > python setup.py install --user 2>&1| tee build.log > > The --user is to make sure that you install numpy in your Users directory > and not mess with the system > The 2>&1 | tee build.log sends the messages you get during the compilation > to a file build.log (that you gonna need if anything goes wrong). > > That should be enough. If it doesn't work, then post your build.log so that > we can try and check where it fails. > Let me know how it goes > P. > > > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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