magnetikonline

List all Git repository objects by size

• Summary
• Example

Summary

Bash script which will:

• Iterate all commits made within a Git repository.

GitRay

# This has been edited to work with python3. Some of the tested combinations will not work in python2.
import pandas as pd
df = pd.DataFrame({'text': [str(i % 1000) for i in range(1000000)],
                   'numbers': range(1000000)})

import pickle
# Python 3 has no cPickle
#import cPickle
import json
from functools import partial

rafaeltuelho

My Openshift Cheatsheet

Project Quotes, Limits and Templates

• Cluster Quota

oc create clusterquota env-qa \
    --project-label-selector environment=qa \
    --hard pods=10,services=5
    
oc create clusterquota user-qa \

olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

stereocat

import re
import sys
from os.path import splitext, basename


class UmlClassFigGenerator(object):
    def __init__(self, file_list):
        self.file_list = file_list
        # notice: parent class was like that: "parenet_class.ClassName2"
        self.re_class_def = re.compile(r"^class\s+([\w\d]+)\(([\w\d\._]+)\):")

julianxhokaxhiu

#!/bin/bash
# Improved as per feedback from @pascal - https://gist.github.com/julianxhokaxhiu/c0a8e813eabf9d6d9873#gistcomment-3086462
find . -type f -iname "*.png" -exec optipng -nb -nc {} \;
find . -type f -iname "*.png" -exec advpng -z4 {} \;
find . -type f -iname "*.png" -exec pngcrush -rem gAMA -rem alla -rem cHRM -rem iCCP -rem sRGB -rem time -ow {} \;
find . -type f \( -iname "*.jpg" -o -iname "*.jpeg" \) -exec jpegoptim -f --strip-all {} \;

Zearin

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

dwf

"""Demo of how to pop up plots asynchronously using separate processes."""
from multiprocessing import Process
import time
import sys
import matplotlib.pyplot as plt
import numpy as np

def demo():
    i = 0
    processes = []