Gijs-Koot

Gijs-Koot

library(dplyr)

## use a vector for the files and the dataframes, where we leave a column in some of them

fn <- c("test_1.csv", "test_2.csv", "test_3.csv")

dl <- c(
  mtcars %>% select(-gear), 
  mtcars %>% select(-disp), 
  mtcars %>% select(-wt) 

Gijs-Koot

Gijs-Koot

Gijs-Koot

from bs4 import BeautifulSoup
import requests
import dateparser
import pandas as pd

uitslagen_url = "http://www.knvb.nl/competities/eredivisie/uitslagen"
programma_url = "http://www.knvb.nl/competities/eredivisie/programma"

uitslagen_soup = BeautifulSoup(requests.get(uitslagen_url).content, "lxml")
programma_soup = BeautifulSoup(requests.get(programma_url).content, "lxml")

Gijs-Koot

Gijs-Koot

Gijs-Koot

## Dependencies: 

* httpie
* csvkit
* jq
* json2csv

## Dit is de regel (filtert op utrecht en amsterdam, pas aan naar wens)

http http://fiets.openov.nl/locaties.json | jq '[.locaties[] | {loc: .description, bikes: (try .extra.rentalBikes | tonumber), date: .extra.fetchTime | todate}] | sort_by(-.bikes)' | json2csv | csvsql --query "SELECT * FROM stdin WHERE loc LIKE 'Ams%' OR loc LIKE 'Utr%' LIMIT 100" | csvlook

Gijs-Koot

Question 1

There are three types of coins which have different probabilities of landing heads when tossed.

• Type A coins are fair, with probability .5 of heads
• Type B coins are bent and have probability .6 of heads
• Type C coins are bent and have probability .9 of heads

Gijs-Koot

I hereby claim:

• I am gijs-koot on github.
• I am gijskoot (https://keybase.io/gijskoot) on keybase.
• I have a public key ASCpvk5-58h7ioVTS37qBVtpJg1YOrunTMH-egtNhJEl4go

To claim this, I am signing this object:

{