josephmisiti

function grf(){
    # restores file that was deleted. to run
    # cd into the directory of the file and type
    # grf filename-that-was-deleted
    git checkout $(git rev-list -n 1 HEAD -- "$1")^ -- "$1"
}

paulcnichols

from gensim import corpora, models, similarities, utils
import logging
import os
import re

logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)

class DirectoryCorpus(corpora.TextCorpus):

    def get_texts(self):

mbostock

license: gpl-3.0

dannguyen

The shell script was used to clean the data and upload it to BigQuery. You can access the data yourself there:

https://bigquery.cloud.google.com/table/nypd-data:nypd.stop_and_frisk

Or if you simply want a giant zip of CSV files, go here (note: You'll have to do the work of reconciling the columns in order to get all the files into one database):

http://stash.compciv.org.s3.amazonaws.com/nypd-stop-and-frisk/2003-2013.zip

The R script in this gist produces the image below:

vlado

# ** ERROR 1 **
# FATAL:  lock file "postmaster.pid" already exists
# HINT:  Is another postmaster (PID 4646) running in data directory "/usr/local/var/postgres"?
#
# ** ERROR 2 **
# Is the server running locally and accepting connections on Unix domain socket "/tmp/.s.PGSQL.5432"?
#
# To fix one of this errors:

cat /usr/local/var/postgres/postmaster.pid # pid is the number on first line

blainerothrock

#!/usr/bin/env xcrun swift -O

/*
gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
-------------------- https://gist.github.com/cfdrake/973505 ---------------------
gen.swift implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.
The parameters of the simulation can be changed by modifying one of the many

robintema

import logging
from rest_framework import serializers


class GeneralModelSerializer(serializers.ModelSerializer):
    """ General model serializer that will serialize a model object. It will return all the model fields.
    """
    class Meta:
        model = None

dvirsky

Creating a redis Module in 15 lines of code!

A quick guide to write a very very simple "ECHO" style module to redis and load it. It's not really useful of course, but the idea is to illustrate how little boilerplate it takes.

Step 1: open your favorite editor and write/paste the following code in a file called module.c

#include "redismodule.h"
/* ECHO <string> - Echo back a string sent from the client */
int EchoCommand(RedisModuleCtx *ctx, RedisModuleString **argv, int argc) {

surjikal

server {
        listen 80;
        server_name *.foo.example.com;

        # We need this to resolve the host, because it's a wildcard.
        # This is google's DNS server.
        resolver 8.8.8.8;

        include /etc/nginx/includes/proxy.conf;

zacstewart

import os
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score

NEWLINE = '\n'