FileMerge (opendiff) can really come in handy when you need to visually compare merging conflicts. Other times it's just a nice visual way to review your days work.
The following method works by creating a simple bash script (git-diff-cmd.sh) that sets us up with the proper command line arguments for Git to pass off files to FileMerge.
| greek_alphabet = { | |
| u'\u0391': 'Alpha', | |
| u'\u0392': 'Beta', | |
| u'\u0393': 'Gamma', | |
| u'\u0394': 'Delta', | |
| u'\u0395': 'Epsilon', | |
| u'\u0396': 'Zeta', | |
| u'\u0397': 'Eta', | |
| u'\u0398': 'Theta', | |
| u'\u0399': 'Iota', |
| ### MATPLOTLIBRC FORMAT | |
| # This is a sample matplotlib configuration file - you can find a copy | |
| # of it on your system in | |
| # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
| # there, please note that it will be overridden in your next install. | |
| # If you want to keep a permanent local copy that will not be | |
| # over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux | |
| # like systems) and C:\Documents and Settings\yourname\.matplotlib | |
| # (win32 systems). |
| """ | |
| This module implements the Lowess function for nonparametric regression. | |
| Functions: | |
| lowess Fit a smooth nonparametric regression curve to a scatterplot. | |
| For more information, see | |
| William S. Cleveland: "Robust locally weighted regression and smoothing | |
| scatterplots", Journal of the American Statistical Association, December 1979, |
| from flask import Flask, make_response | |
| app = Flask(__name__) | |
| @app.route("/simple.png") | |
| def simple(): | |
| import datetime | |
| import StringIO | |
| import random | |
| from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas |
| // this is a locale bundle | |
| var locale = {"en-US":"<locale xml:lang=\"en\" xmlns=\"http://purl.org/net/xbiblio/csl\"> <style-options punctuation-in-quote=\"true\"/> <date form=\"text\"> <date-part name=\"month\" suffix=\" \"/> <date-part name=\"day\" suffix=\", \"/> <date-part name=\"year\"/> </date> <date form=\"numeric\"> <date-part name=\"year\"/> <date-part name=\"month\" form=\"numeric\" prefix=\"-\" range-delimiter=\"/\"/> <date-part name=\"day\" prefix=\"-\" range-delimiter=\"/\"/> </date> <terms> <term name=\"document-number-label\">No.</term> <term name=\"document-number-authority-suffix\">Doc.</term> <term name=\"un-sales-number-label\">U.N. Sales No.</term> <term name=\"collection-number-label\">No.</term> <term name=\"open-quote\">\u201c</term> <term name=\"close-quote\">\u201d</term> <term name=\"open-inner-quote\">\u2018</term> <term name=\"close-inner-quote\">\u2019</term> <term name=\"ordinal-01\">st</term> <term name=\"ordinal-02\">nd</ter |
| """ | |
| Series of data are loaded from a .csv file, and their names are | |
| displayed in a checkable list view. The user can select the series | |
| it wants from the list and plot them on a matplotlib canvas. | |
| Use the sample .csv file that comes with the script for an example | |
| of data series. | |
| Eli Bendersky ([email protected]) | |
| License: this code is in the public domain |
Word counting questions almost always lead to statements about its impossibility and/or uselessness. However, if you use TeXShop there is an engine for counting words (texcount) in the ~/Library/TeXShop/Inactive/texcount folder. Drag either of the engines out of its folder into the Engines folder, and you can use that to count words. To use it, choose it as the engine and then "typeset" the document. It will open a web summary of the counts and how it did it. It works off of the latex source, but is pretty good for most things.
From comp.tex.macosx
#Mac OS X
