cube-drone

Some examples of diva bullshit from your developers:

• correctness as an assertion of dominance
• my religion is the one true religion (Python? You should use node for that. Node? You should use Scala for that.)
• insisting on technologies that ‘scale linearly’ when developing services that clearly will not serve more than 100,000 people and can probably comfortably be served from one computer.
• a coffee incantation that requires any of the following:
  • a $300+ espresso machine
  • an aeropress
  • a scale
• temperature measurements

larryli

#!/bin/sh
export GIT_SSH_COMMAND='ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'
git config --global core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'

git clone -c=core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"' git@github.com:larryli/ipv4.git
git config core.sshCommand 'ssh -o ProxyCommand="connect -S 127.0.0.1:1080 %h %p"'

chrahunt

// ==UserScript==
// @name         StackEdit Image Extension
// @namespace    http://chri.sh/
// @version      0.4.1
// @description  Add image-pasting capability to StackEdit editor.
// @author       chrahunt
// @match        https://stackedit.io/editor
// @run-at       document-end
// @grant        none
// @downloadURL  https://gist.github.com/chrahunt/c27686b095a390c26ff8/raw/se-image-paste.user.js

gene1wood

LambdaContext

Here is the raw output from examining the Python LambdaContext context object in a AWS Lambda function when called from a CloudFormation stack. More information on the context object can be found here : http://docs.aws.amazon.com/lambda/latest/dg/python-context-object.html

LambdaContext object : print(context)

<__main__.LambdaContext object at 0x7fd706780710>

LambdaContext vars : vars(context)

davidrpmorris

# Skip to Line 56 to see how to set things up with JSON

# Normally each FormField is represented by its own row in a database. In this example
# each FormField is a row in the Specification table.

# models.py
class Specification(db.Model):

    ...
    name = db.Column(db.String)

luke

import logging
import cStringIO
import csv

DEBUG = False

def data2csv(data):
    si = cStringIO.StringIO()
    cw = csv.writer(si, delimiter='\t',lineterminator="\n")
    for row in data:

cridenour

Setting up Vim as your Go IDE

Intro

I've been wanting to do a serious project in Go. One thing holding me back has been a my working environment. As a huge PyCharm user, I was hoping the Go IDE plugin for IntelliJ IDEA would fit my needs. However, it never felt quite right. After a previous experiment a few years ago using Vim, I knew how powerful it could be if I put in the time to make it so. Luckily there are plugins for almost anything you need to do with Go or what you would expect form and IDE. While this is no where near comprehensive, it will get you writing code, building and testing with the power you would expect from Vim.

Getting Started

I'm assuming you're coming with a clean slate. For me this was OSX so I used MacVim. There is nothing in my config files that assumes this is the case.

hmldd

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"

DazWorrall

from flask import Flask, redirect, url_for, request

app = Flask(__name__)

is_maintenance_mode = True

# Always throw a 503 during maintenance: http://is.gd/DksGDm

@app.before_request
def check_for_maintenance():

hashmal

-- Print contents of `tbl`, with indentation.
-- `indent` sets the initial level of indentation.
function tprint (tbl, indent)
  if not indent then indent = 0 end
  for k, v in pairs(tbl) do
    formatting = string.rep("  ", indent) .. k .. ": "
    if type(v) == "table" then
      print(formatting)
      tprint(v, indent+1)
    else