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Ben Shen timmyshen

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timmyshen / Ggplots.Rmd
Created April 18, 2014 01:36
---
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
timmyshen / capture.cpp
Created May 21, 2014 16:37 — forked from anonymous/capture.cpp
#include <iostream>
#include <algorithm>
#include <vector>
using namespace std;
int main()
{
// The user would introduce different values for divisor
int divisor = 3;
vector<int> numbers { 1, 2, 3, 4, 5, 10, 15, 20, 25, 35, 45, 50 };
@timmyshen
timmyshen / gist:eed7d4ba5c26e437e676
Created July 6, 2014 01:45 — forked from MonkmanMH/gist:5711584
# load the package and data set "Teams"
install.packages("Lahman")
library("Lahman")
data(Teams)
#
#
# CREATE LEAGUE SUMMARY TABLES
# ============================
#
# select a sub-set of teams from 1901 [the establishment of the American League] forward to 2012
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timmyshen / Readme.md
Created July 7, 2014 16:30 — forked from timelyportfolio/Readme.md
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timmyshen / tweet_sentiment.py
Created July 9, 2014 03:32 — forked from anonymous/tweet_sentiment.py
import sys
import json
def hw():
print 'Hello, world!'
def lines(fp):
print str(len(fp.readlines()))
def main():
@timmyshen
timmyshen / .gitignore
Last active August 29, 2015 14:22 — forked from wrobstory/.gitignore
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
# C extensions
*.so
# Distribution / packaging
.Python
env/
@timmyshen
timmyshen / mice_imp.R
Created October 9, 2015 21:39 — forked from mick001/mice_imp.R
Imputing missing data with R; MICE package: Full article at http://datascienceplus.com/imputing-missing-data-with-r-mice-package/
# Using airquality dataset
data <- airquality
data[4:10,3] <- rep(NA,7)
data[1:5,4] <- NA
# Removing categorical variables
data <- airquality[-c(5,6)]
summary(data)
#-------------------------------------------------------------------------------
@timmyshen
timmyshen / bobp-python.md
Created November 21, 2015 01:31 — forked from sloria/bobp-python.md
A "Best of the Best Practices" (BOBP) guide to developing in Python.

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

  • "Build tools for others that you want to be built for you." - Kenneth Reitz
  • "Simplicity is alway better than functionality." - Pieter Hintjens
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timmyshen / NBA_stats_mining.py
Created December 27, 2015 16:30 — forked from pemo-ml/NBA_stats_mining.py
Scrapping NBA player stats from stats.nba.com
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
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