wrunk

#!/usr/bin/env/python
# 
# More of a reference of using jinaj2 without actual template files.
# This is great for a simple output transformation to standard out.
#
# Of course you will need to "sudo pip install jinja2" first!
#
# I like to refer to the following to remember how to use jinja2 :)
# http://jinja.pocoo.org/docs/templates/
#

glombard

from pprint import pprint
import jinja2
import markdown

HTML_TEMPLATE = """{% macro get_html() %}
{{ content | markdown }}
{% endmacro %}
{% set html_content = get_html() %}

Title from Markdown meta-data: {{ get_title() }}

JamesMGreene

Initialize

gitflow	git
git flow init	git init
	git commit --allow-empty -m "Initial commit"
	git checkout -b develop master

Connect to the remote repository

michaelsteffen

# Must be run with lxml installed to process larger data sets. 
# By default looks for ./RawGPX.gpx as the input file and outputs to ./CleanedGPX.gpx.  But of course one could change that easily... 

import gpxpy
import gpxpy.gpx
import re

def get_furthest_point_above_speed(track, start_segment_no, start_point_no, speed, shortest_length=500):
	"""
	Starting from a given point on a track, finds the longest subsection of the track

hackerdem

from bs4 import BeautifulSoup,SoupStrainer
import urllib.request
import colorama,re,queue,threading
from colorama import Fore
from urllib.parse import *

class check_link():
    def __init__(self,address):
        self.address=address        
    def check(self,address):   

noelboss

Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your local GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like deepl.io to act upon a Web-Hook that's triggered that service.

kingspp

import os
import yaml
import logging.config
import logging
import coloredlogs

def setup_logging(default_path='logging.yaml', default_level=logging.INFO, env_key='LOG_CFG'):
    """
    | **@author:** Prathyush SP
    | Logging Setup

Olliebrown

This is based on https://github.com/codeforamerica/ohana-api/wiki/Installing-MongoDB-with-MacPorts-on-OS-X

the macports version of MongoDB does not come pre-configured and will not run after installing until you change some settings. The instructions linked above describe a way to fix this but they ignore the fact that many of the directories are already created and owned by the user "_mongo". It also runs the daemon as root rather than _mongo. Below is a modified approach that uses the _mongo user and avoids creating unnecessary directories.

Install and Configure MongoDB

1. Install mongodb with sudo port install mongodb (you probably want to start with a sudo port selfupdate)
2. Create configuration directory with sudo mkdir /opt/local/etc/mongodb/
3. Create configuration file with sudo pico /opt/local/etc/mongodb/mongod.conf

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = [email protected]
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

aviadlevy

image: docker:latest
services:
  - docker:dind

stages:
  - build
  - integration
  - dev-release
  - prod-release