rduplain

Goal: Connect to MSSQL using FreeTDS / ODBC in Python.

Host: Ubuntu 11.10 x86_64

Install:

sudo apt-get install freetds-dev freetds-bin unixodbc-dev tdsodbc
pip install pyodbc sqlalchemy

In /etc/odbcinst.ini:

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

login.go

package main

import (
	"fmt"

	"html/template"

	"log"

	"net/http"

iximiuz

""" Inspired by http://flask.pocoo.org/snippets/40/ """

app = Flask(__name__)

@app.url_defaults
def hashed_url_for_static_file(endpoint, values):
    if 'static' == endpoint or endpoint.endswith('.static'):
        filename = values.get('filename')
        if filename:
            if '.' in endpoint:  # has higher priority

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

bonzanini

# run with a custom --n
# python run_luigi.py SquaredNumbers --local-scheduler --n 20

import luigi

class PrintNumbers(luigi.Task):
    n = luigi.IntParameter(default=10)

    def requires(self):
        return []

MichaelCurrie

Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes
Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983
1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455,
Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079
40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455,
Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail"
Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage"
"Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455,
"Trump World Tower, 845 United Natio

narulkargunjan

import os
import codecs

data_directory = os.path.join('..', 'data',
                              'yelp_dataset_challenge_academic_dataset')

businesses_filepath = os.path.join(data_directory,
                                   'yelp_academic_dataset_business.json')

with codecs.open(businesses_filepath, encoding='utf_8') as f:

MaxHalford