tcnksm

• Kubernetes
  • Kubernetes: Up and Running, 2nd Edition
  • Production Kubernetes
  • Managing Kubernetes
  • Cloud Native Infrastructure
  • Container Security
• SRE
  • The Site Reliability Workbook
  • 97 Things Every SRE Should Know
• Systems Performance: Enterprise and the Cloud

bshishov

import numpy as np

EPSILON = 1e-10


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

shagunsodhani

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Introduction

• The paper introduces a novel technique to explain the predictions of any classifier in an interpretable and faithful manner.
• It also proposes a method to explain models by obtaining representative individual predictions and their explanations.
• Link to the paper
• Demo

Desired Characteristics for Explanations

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)

Iman

#!/bin/sh

#Check the Drive Space Used by Cached Files
du -sh /var/cache/apt/archives

#Clean all the log file
#for logs in `find /var/log -type f`;  do > $logs; done

logs=`find /var/log -type f`
for i in $logs

s-boardman

The [Cufflinks](http://cole-trapnell-lab.github.io/cufflinks/)  Unix package is extremely well regarded for RNA-seq analysis.  Yet it is widely acknowledged that installation is difficult, not least by the [Cufflinks authors themselves](http://cole-trapnell-lab.github.io/cufflinks/getting_started/#installing-a-pre-compiled-binary-release)! Whilst the authors provide precompiled binaries to make the installation process easier [the instructions aren't very explicit](http://cole-trapnell-lab.github.io/cufflinks/getting_started/). Having spent a good hour on Google and StackOverflow I've put together an instruction list for the less experienced Unix user like myself.

Note this guide is for Unix distributions.

1. Download the Cufflinks tar from http://cole-trapnell-lab.github.io/cufflinks/install/
'''shell
wget http://cole-trapnell-lab.github.io/cufflinks/install/
'''
2. Untar the downloaded file
'''shell

alimuldal

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_dunn(groups, to_compare=None, alpha=0.05, method='bonf'):
    """

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

katychuang

#!/usr/bin/env sh

# first check to see if mongo service is running. you can't delete any files until the service stops so perform a quick check.
launchctl list | grep mongo
  # NOTE: the pipe | symbol means the commands on the right performs on the output from the left
  # grep is a string search utility. `grep mongo` means search for the substring mongo
 
# use the unload command to end the mongo service. this is required to 'unlock' before removing the service.
#    first look for the file to delete
MONGO_SERVICE_FILE=$(ls ~/Library/LaunchAgents/*mongodb*)

JosefJezek

How to use Pelican on GitHub Pages

Author: Josef Jezek

Install on Ubuntu

Installing Python tools

sudo apt-get install python-setuptools