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Ben Shen timmyshen

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@timmyshen
timmyshen / .gitignore
Created October 13, 2013 06:19 — forked from lazyval/.gitignore
.DS_STORE
@timmyshen
timmyshen / force_directed_students.js
Created October 16, 2013 17:15 — forked from ilanman/README.md
<!DOCTYPE html>
<meta charset="utf-8">
<style>
div.tooltip {
position: absolute;
text-align: right;
z-index:9999;
width: 6px;
height: 18px;
@timmyshen
timmyshen / performanceReportREADME.txt
Created October 19, 2013 02:19 — forked from thertrader/performanceReportREADME.txt
###############################################################################
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
@timmyshen
timmyshen / hw1.sml
Created October 21, 2013 15:53
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
timmyshen / quandlDataQuality.R
Created November 15, 2013 16:48 — forked from thertrader/quandlDataQuality.R
#######################################################
# Evaluating Quandl Data Quality
#
# thertrader@gmail.com - Nov 2013
#######################################################
library(quantmod)
library(Quandl)
library(Rbbg)
library(XML)
@timmyshen
timmyshen / convert.cu
Created December 24, 2013 22:15 — forked from philip-goh/convert.cu
// Homework 1
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color
//is specified by how much Red, Grean and Blue is in it.
//The 'A' stands for Alpha and is used for transparency, it will be
//ignored in this homework.
//Each channel Red, Blue, Green and Alpha is represented by one byte.
//Since we are using one byte for each color there are 256 different
@timmyshen
timmyshen / gist:8393634
Created January 13, 2014 02:15 — forked from kowalgta/gist:8370875
#load @"..\packages\Deedle.0.9.12\Deedle.fsx"
#load @"..\packages\FSharp.Charting.0.90.5\FSharp.Charting.fsx"
// Please note that I had to use FSharp.Data.2.0.0-alpha as current stable version 1.1.10
// has a bug in CSV provider that disallows to load from more than 2 sources in one execution
#r @"..\packages\FSharp.Data.2.0.0-alpha2\lib\net40\FSharp.Data.dll"
#r @"..\packages\MathNet.Numerics.FSharp.2.6.0\lib\net40\MathNet.Numerics.FSharp.dll"
#r @"..\packages\MathNet.Numerics.2.6.2\lib\net40\mathnet.numerics.dll"
open Deedle
open System
@timmyshen
timmyshen / F# charting challenge.fsx
Created January 13, 2014 02:18 — forked from terjetyl/F# charting challenge.fsx
#r @"\\psf\Home\Desktop\GitHub\eulersfsharp\src\Euler\bin\Debug\FSharp.Data.dll"
#r @"\\psf\Home\Desktop\GitHub\eulersfsharp\src\packages\MSDN.FSharpChart.dll.0.60\lib\MSDN.FSharpChart.dll"
#r "System.Windows.Forms.DataVisualization.dll"
open FSharp.Data
open MSDN.FSharp.Charting
open System.Windows.Forms
open System.Drawing
open System.Windows.Forms.DataVisualization.Charting
@timmyshen
timmyshen / MonteCarloFinanceWeek1
Created January 26, 2014 22:18 — forked from taumuon/MonteCarloFinanceWeek1
// This code is based on matlab code provided through the course "Monte Carlo Methods in Finance".
// https://iversity.org/my/courses/monte-carlo-methods-in-finance/
// and Olaf Smits's Python conversion
// http://nbviewer.ipython.org/github/olafSmits/MonteCarloMethodsInFinance/blob/master/Week%201.ipynb?create=1
open System
open Deedle
open FSharp.Charting
let readFrame (stock:string) =
@timmyshen
timmyshen / tree.md
Created March 13, 2014 21:57 — forked from hrldcpr/tree.md

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!