| # Qt Mac Deployment Script | |
| # --------------------------- | |
| # Generate Build By : | |
| $ QtSDK/Desktop/Qt/474/gcc/bin/macdeployqt MyApp.app | |
| # Verify Build By | |
| $ otool -L MyApp.app/Contents/MacOS/MyApp |
| auth = OAuthHandler(CLIENT_ID, CLIENT_SECRET, CALLBACK) | |
| auth.set_access_token(ACCESS_TOKEN) | |
| api = API(auth) | |
| venue = api.venues(id='4bd47eeb5631c9b69672a230') | |
| stopwords = nltk.corpus.stopwords.words('portuguese') | |
| tokenizer = RegexpTokenizer("[\w’]+", flags=re.UNICODE) |
| (** | |
| * Pause and resume Growl. Use in a launcher like Quicksilver or Alfred to | |
| * pause and resume Growl when the menu bar icon is disabled. | |
| * | |
| * Author: Andrew Berry, deviantintegral@gmail.com | |
| *) | |
| tell application "Growl" | |
| register as application "Growl pause/resume" all notifications {"Growl paused", "Growl resumed"} default notifications {"Growl paused", "Growl resumed"} icon of application "Growl" | |
| if is paused then | |
| resume |
| import sys | |
| import logging | |
| import psycopg2 | |
| import pandas as pd | |
| import pandas.io.sql as sqlio | |
| import ConfigParser | |
| import argparse | |
| import statistics | |
| from pandas import pivot_table, crosstab | |
| from datetime import datetime |
| #List unique values in a DataFrame column | |
| pd.unique(df.column_name.ravel()) | |
| #Convert Series datatype to numeric, getting rid of any non-numeric values | |
| df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
| #Grab DataFrame rows where column has certain values | |
| valuelist = ['value1', 'value2', 'value3'] | |
| df = df[df.column.isin(value_list)] |
| """quick way to create a data frame to try things out""" | |
| df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
| df['A'] """ will bring out a col """ df.ix[0] """will bring out a row, #0 in this case""" | |
| """Given a dataframe df to filter by a series s:""" | |
| df[df['col_name'].isin(s)] | |
| """to do the same filter on the index instead of arbitrary column""" | |
| df.ix[s] |
I say "animated gif" but in reality I think it's irresponsible to be serving "real" GIF files to people now. You should be serving gfy's, gifv's, webm, mp4s, whatever. They're a fraction of the filesize making it easier for you to deliver high fidelity, full color animation very quickly, especially on bad mobile connections. (But I suppose if you're just doing this for small audiences (like bug reporting), then LICEcap is a good solution).
| var open = window.XMLHttpRequest.prototype.open, | |
| send = window.XMLHttpRequest.prototype.send, | |
| onReadyStateChange; | |
| function openReplacement(method, url, async, user, password) { | |
| var syncMode = async !== false ? 'async' : 'sync'; | |
| console.warn( | |
| 'Preparing ' + | |
| syncMode + | |
| ' HTTP request : ' + |
| #!/usr/bin/env python | |
| from numpy import asmatrix, asarray, ones, zeros, mean, sum, arange, prod, dot, loadtxt | |
| from numpy.random import random, randint | |
| import pickle | |
| MISSING_VALUE = -1 # a constant I will use to denote missing integer values | |
| def impute_hidden_node(E, I, theta, sample_hidden): |
