| class QueueChain(): | |
| def __init__(self, arrival, service): | |
| self.arrival = arrival | |
| self.service = service | |
| def sample_path(self, n): | |
| path = [0] | |
| for i in range(1, n): | |
| path.append(path[i - 1]) |
| 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) |
| 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") |
| ## 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 |
