sderaco

// Found article on https://or.stackexchange.com/questions/529/supply-chain-public-data-repository
// https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176
// https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176/suppl_file/msom.1070.0176-sm-datainexcel.zip

//Article by Sean P. Willems: https://pdfs.semanticscholar.org/232c/451fcf58dbcc1527de6d02cd6e76aea9e871.pdf?_ga=2.33151675.429569592.1581427039-1552162479.1581427039
Table 2 Classifications Used to Label Every Stage in the Chains
Classifications label Activity
  Dist_ A stage that distributes an item
  Manuf_ A stage that manufactures or assembles an item
  Part_ A stage that procures an item

rvanbruggen

// Found article on https://or.stackexchange.com/questions/529/supply-chain-public-data-repository
// https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176
// https://pubsonline.informs.org/doi/suppl/10.1287/msom.1070.0176/suppl_file/msom.1070.0176-sm-datainexcel.zip

//Article by Sean P. Willems: https://pdfs.semanticscholar.org/232c/451fcf58dbcc1527de6d02cd6e76aea9e871.pdf?_ga=2.33151675.429569592.1581427039-1552162479.1581427039
Table 2 Classifications Used to Label Every Stage in the Chains
Classifications label Activity
  Dist_ A stage that distributes an item
  Manuf_ A stage that manufactures or assembles an item
  Part_ A stage that procures an item

chrishein

# -*- coding: utf-8 -*-
import datetime
import json
import re
import urllib

import scrapy

from bs4 import BeautifulSoup
from datetime import date

adamthebig

git log --pretty=format:'"%h","%an","%aD","%s",' --shortstat --no-merges | paste - - - > log.csv

jexp

REPLACEME: TITLE OF YOUR GRAPHGIST

Introduction

calstad

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

• Topology and Data by Gunnar Carlsson
• Barcodes: The Persistent Topology of Data by Robert Ghrist

Other Papers and Web Resources

• Extracting insights from the shape of complex data using topology A good introductory paper in Nature on the Mapper algorithm.

flekschas

Credit goes to

1. Jan Klaas Kollhof (and Fred Benenson)
2. Chris Skardon

Installation

Since the original plugin has been developed for Sublime Text 2 we have to install it manually.

1. Go to https://github.com/fredbenenson/sublime-cypher, download ZIP of the repo, extract the content and rename the folder to ‘Cypher’. You can download the original repo from https://github.com/kollhof/sublime-cypher but Fred Benenson introduced a handy fix for UTF-8 data, which hasn't integrated at the point of this writing.

rbnvrw

from igraph import *
import numpy as np

# Create the graph
vertices = [i for i in range(7)]
edges = [(0,2),(0,1),(0,3),(1,0),(1,2),(1,3),(2,0),(2,1),(2,3),(3,0),(3,1),(3,2),(2,4),(4,5),(4,6),(5,4),(5,6),(6,4),(6,5)]

g = Graph(vertex_attrs={"label":vertices}, edges=edges, directed=True)

visual_style = {}

eclarke

plot_ggheatmap <- function(obj, n=nrow(obj), norm=TRUE, log=TRUE, 
                           colnames.in.pdata="NewSampleID", 
                           col.labels=NULL,
                           row.labels=NULL,
                           facet.by=NULL,
                           annotate.cols=NULL,
                           dendrogram=FALSE,
                           col.annotation.offset=1,
                           col.annotation.width=4) {
  ##

miki725

#!/bin/bash
#
# DESCRIPTION:
#
#   Set the bash prompt according to:
#    * the active virtualenv
#    * the branch of the current git/mercurial repository
#    * the return value of the previous command
#    * the fact you just came from Windows and are used to having newlines in
#      your prompts.