kelvinn

import csv
from dateutil import parser

qs_list = []
with open('C:\\Users\\username\\Desktop\\tweets.csv', 'rb') as csvfile:
    qsreader = csv.reader(csvfile, delimiter=',', quotechar='"')
    header = qsreader.next()
    for row in qsreader:
        d = parser.parse(row[6])
        row[6] = d.isoformat()

kelvinn

REM On Unix you would do this: find ./ -type f -exec dos2unix {} \;
REM After installing dos2unix.exe in Windows, you can create a small bat script with the below in it to
REM recursively change the line endings. Careful if you have any hidden directories (e.g. .git)

for /f "tokens=* delims=" %%a in ('dir "C:\Users\username\path\to\directory" /s /b') do (
"C:\Program Files\unix2dos.exe" %%a
)

kelvinn

import os
import sys
import json
import time
import pytz
import couchdb
import dateutil.parser
from email import utils
from datetime import datetime
import splunklib.client as client

kelvinn

kelvinn

import os
import sys

# First, add the project to PATH. Adjust as needed.
PWD = os.path.dirname(os.path.abspath(__file__))
PROJECT_PATH = os.path.abspath(os.path.join(PWD, '../../../../'))
sys.path.append(PROJECT_PATH)

# Second, configure this script to use Django
import django

kelvinn

# Add this to the YAML section:


ansible_ssh_port: 1234

kelvinn

---
- name: Prepare New Digital Ocean Droplet
  hosts: you.example.com
  user: ansible
  tasks:
  - action: shell date +%s | sha256sum | base64 | head -c 6
    register: rand_var
  - digital_ocean: >
        state=present
        command=droplet

kelvinn

# post_loc.txt contains the json you want to post
# -p means to POST it
# -H adds an Auth header (could be Basic or Token)
# -T sets the Content-Type
# -c is concurrent clients
# -n is the number of requests to run in the test

ab -p post_loc.txt -T application/json -H 'Authorization: Token abcd1234' -c 10 -n 2000 http://example.com/api/v1/locations/

kelvinn

@ApiMethod(name = "sayHi", clientIds = {
        Constants.WEB_CLIENT_ID,
        Constants.ANDROID_CLIENT_ID},
        audiences = { Constants.WEB_CLIENT_ID, Constants.ANDROID_CLIENT_ID },
        scopes = {
                "https://www.googleapis.com/auth/userinfo.email",
                "https://www.googleapis.com/auth/userinfo.profile" })

kelvinn

How-To: Install GDAL Python Bindings

I've found two ways to install the GDAL Python bindings on Mac.

Via GDAL Framework / QGIS

First, you can install the GDAL Framework via QGIS (or get it directly), and then do...