dontlaugh

What's a Runbook?

A runbook is a precise list of steps for doing routine tasks, or debugging a system.

Good candidates for runbooks:

• procedures with a relatively precise begin state and end state
• lists of commands for launching a kubernetes cluster
• lists of commands for tearing down a kubernetes cluster
• links to dashboards for troubleshooting problems with a particular system,

AustinRochford

bshishov

import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted

cheevahagadog

#!/usr/bin/env python
# Python 3.6.4

import numpy as np
import pandas as pd
import iml
import xgboost
import shap
from tqdm import tqdm

pierrejoubert73

How to add a collapsible section in markdown

1. Example

Click me

Heading

1. Foo
2. Bar
   • Baz

• Qux

jexp

Useful Links

• Slides: Lesser known features in Cypher - Alex Price

• Cypher Query Tuning - Michael

• Cypher Query Tuning - Mark & Petra

schnell18

sudo rm -fr /Library/Java/JavaVirtualMachines/jdk-9.jdk/
sudo rm -fr /Library/Internet\ Plug-Ins/JavaAppletPlugin.plugin
sudo rm -fr /Library/PreferencePanes/JavaControlPanel.prefPane

amyghotra

import pygame
import random

# Define some colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
BLUE = (0, 0, 255)

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

jlln

def splitDataFrameList(df,target_column,separator):
    ''' df = dataframe to split,
    target_column = the column containing the values to split
    separator = the symbol used to perform the split

    returns: a dataframe with each entry for the target column separated, with each element moved into a new row. 
    The values in the other columns are duplicated across the newly divided rows.
    '''
    def splitListToRows(row,row_accumulator,target_column,separator):
        split_row = row[target_column].split(separator)