peterspurepythonpicopdf.py

from datetime import datetime
from zlib import compress

def serialize(x):
    if isinstance(x, dict):
        return '<<' + '\n'.join(serialize(k) + ' ' + serialize(v) for k, v in x.items()) + '>>'
    if isinstance(x, list):
        return '[' + ' '.join(serialize(it) for it in x) + ']'
    return str(x)

bIgBV

#!flask/bin/python
 
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask.ext.httpauth import HTTPBasicAuth
 
app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()
 
@auth.get_password
def get_password(username):

mchail

gem "resque", :require => 'resque/server'
gem 'resque-history'

TalkativeTree

Suriving Dev Bootcamp

Remember that Hard Work is more important than talent or intelligence.

Greatness is often misattributed to some finite level of ability. People assume others are ahead of them without accounting for the amount of work that person is putting in to achieve their success.

Persistence and Patience

- patience with yourself and persistence with this process. Learning over completion - You just paid over $12,000 to be here. It's not about checking boxes off of a list, it's about learning the material

dannguyen

Fetching and collating the California Kindergarten immunization data in Python and Bash

by Dan Nguyen @dancow

tl;dr: a quick example of practicing reproducible data journalism, and somewhat timely given the recent school vaccination law signed by California Gov. Jerry Brown

These are scripts that are part of the mundaneprogramming.github.io repo for SRCCON 2015 and will soon have their own entry/explanation on that site. They aren't meant to be best/canonical practices (e.g. I felt like using csv.DictWriter so there it is), nor do I guarantee that they work. But you're free to run them to see what happens. All they currently do is download the relevant spreadsheets and compile them into a file, which ends up being one of the most tedious parts of the entire investigation due to how the [files are organized on the home

nicolasbernard

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" # install HomeBrew
brew tap caskroom/cask # install Cask
brew cask install virtualbox # install VirtualBox
brew install docker docker-machine # install Docker and Docker-machine
docker-machine create --driver virtualbox default # create a Docker VM named "default"
eval $(docker-machine env default) # set env var to tell Docker client to talk to our VM
docker version # Docker works, yay!
brew tap redspread/spread # tell HomeBrew where Spread is
brew install kubectl spread # install Kubectl and Spread
spread cluster start # ask Spread to start a k8s cluster with Docker client settings

ambv

from contextlib import ExitStack

d = {index: str(index) for index in range(100)}

with ExitStack() as stack:
    for key in d:
        if key % 13 == 0:
            stack.callback(d.pop, key)

print(d)

nepsilon

A simple way to benchmark your code in Python

You’re working on your script and want to see how fast a function would be. Here’s how to do that with the timeit module, included in the standard library.

Let’s say you have the following script:

import random

nepsilon

Better Flow Control with Python

I recently interviewed 4 developers for a Python programming position They all knew how to use requests, call APIs and worked either with Django or Flask, but I saw all of them ignoring most of Python’s specific control flow.

Here are two of them, try/except/else/finally and for/else:

try: 
    # What you want to do, which might

nepsilon

3 hidden Python tips 🐍

Hidden from beginner tutorials and seldom found in books.

1. You can multiply a string to repeated it:

>>> "HOOLI-"*2
'HOOLI-HOOLI-'