duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
Ben Shen timmyshen
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| fun is_older (day1 : int*int*int, day2 : int*int*int) = | |
| if (#1 day1) < (#1 day2) | |
| then true | |
| else if (((#2 day1) < (#2 day2)) andalso ((#1 day1) = (#1 day2))) | |
| then true | |
| else if (((#3 day1) < (#3 day2)) andalso ((#2 day1) = (#2 day2)) andalso ((#1 day1) = (#1 day2))) | |
| then true | |
| else false | |
timmyshen
/ complete.R
Created
October 7, 2013 18:25
Write a function that reads a directory full of files and reports the number of completely observed cases in each data file. The function should return a data frame where the first column is the name of the file and the second column is the number of complete cases.
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| complete <- function(directory, id = 1:332) { | |
| ## 'directory' is a character vector of length 1 indicating | |
| ## the location of the CSV files | |
| ## 'id' is an integer vector indicating the monitor ID numbers | |
| ## to be used | |
| ## Return a data frame of the form: | |
| ## id nobs | |
| ## 1 117 |
timmyshen
/ Ggplots.Rmd
Created
April 18, 2014 01:36
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| --- | |
| name: ggplotly | |
| layout: post | |
| title: Make your ggplots shareable, collaborative, and with D3 | |
| date: 2014-04-17 | |
| author: Matt Sundquist | |
| authorurl: https://plot.ly/team | |
| tags: | |
| - R | |
| - API |
timmyshen
/ best.R
Created
October 8, 2013 21:51
Write a function called best that take two arguments: the 2-character abbreviated name of a state and an
outcome name. The function reads the outcome-of-care-measures.csv le and returns a character vector
with the name of the hospital that has the best (i.e. lowest) 30-day mortality for the specied outcome
in that state. The hospital name is the…
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| best <- function(state, outcome) { | |
| data <- read.csv(file='outcome-of-care-measures.csv', colClasses = 'character') | |
| if(!any(state == data$State)) { | |
| stop('invalid state') | |
| } | |
| if(outcome == 'heart attack') { | |
| i <- 11 |
timmyshen
/ .gitignore
Created
October 13, 2013 06:19
— forked from lazyval/.gitignore
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| .DS_STORE |
timmyshen
/ springer-free-maths-books.md
Created
December 29, 2015 23:23
— forked from bishboria/springer-free-maths-books.md
Springer have made a bunch of books available for free, here are the direct links
timmyshen
/ NBA_stats_mining.py
Created
December 27, 2015 16:30
— forked from tonyromarock/NBA_stats_mining.py
Scrapping NBA player stats from stats.nba.com
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| import requests | |
| import csv | |
| import sys | |
| # get me all active players | |
| url_allPlayers = ("http://stats.nba.com/stats/commonallplayers?IsOnlyCurrentSeason" | |
| "=0&LeagueID=00&Season=2015-16") | |
| #request url and parse the JSON |
timmyshen
/ number_before_reaching_sum.sml
Last active
August 16, 2018 14:31
Write a function number_before_reaching_sum that takes an int called sum, which you can assume
is positive, and an int list, which you can assume contains all positive numbers, and returns an int.
You should return an int n such that the rst n elements of the list add to less than sum, but the rst
n + 1 elements of the list add to sum or more. A…
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| fun number_before_reaching_sum (sum : int, xs : int list) = | |
| if null xs then 0 | |
| (*else if null (tl xs) then 1*) | |
| else if hd xs > sum then 0 | |
| else | |
| let fun helper (i : int, partial_sum : int, tl_xs : int list) = | |
| if partial_sum < 0 then i | |
| else | |
| helper(i + 1, partial_sum - hd tl_xs, tl tl_xs) | |
| in |
timmyshen
/ rankall.R
Created
October 9, 2013 18:04
Write a function called rankall that takes two arguments: an outcome name (outcome) and a hospital rank-
ing (num). The function reads the outcome-of-care-measures.csv le and returns a 2-column data frame
containing the hospital in each state that has the ranking specied in num. For example the function call
rankall("heart attack", "best") would…
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| rankall <- function(outcome, num = "best") { | |
| data <- read.csv(file="outcome-of-care-measures.csv", colClasses = 'character') | |
| if(outcome == 'heart attack') { | |
| i <- 11 | |
| } | |
| else if(outcome == 'heart failure') { | |
| i <- 17 | |
| } | |
| else if(outcome == 'pneumonia') { |
timmyshen
/ Tensorflow for Poets.ipynb
Created
April 6, 2018 20:15
— forked from bourdakos1/Tensorflow for Poets.ipynb
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