I have a small django project that I develop on both linux and mac. I deploy this project using the alpine version of the python docker image.
Originally, I had installed the psycopg2-binary package on my mac for local development, but once started to package up the app, I …
Sometimes I want to debug the inputs and outputs of function calls to visualize flow or to follow execution passively.
Rather than adding logging statements and littering them around the code, a single decorator can be crafted to show the life cycle of a function:
def trace_args(f): def wrapper …more ...
Make setup.py in your project
from setuptools import setup setup(name='project', version='1.0', description='thing do-er', author='Your Name', url='http://path.to.website', py_modules=[''], classifiers=['Environment :: Console', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 3.4', 'Operating System :: POSIX :: Linux', 'Topic …
I had originally typed up these instructions in a gist for my personal use but in case they are useful to you:
Change directory to virtualenv:
cd /path/to/virtualenv
Download node:
wget http://nodejs.org/dist/v0.10.29/node-v0.10.29.tar.gz
Set prefix variable:
export VPREFIX …
I found myself wanting to take snapshots of my digital ocean droplets. I wrote a quick python script that wraps the api and allows me to snapshot my droplet on a regular basis.
#! /usr/bin/env python
import requests
import time
API_KEY=''
CLI_ID=''
def fetch(path, opts={}):
opts['api_key'] = API_KEY …