timmyshen

# 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

timmyshen

// Here's my data model
function ViewModel() {
    //this.firstName = ko.observable(first);
    //this.lastName = ko.observable(last);
    this.firstName = "first";
    /*
    this.fullName = ko.computed(function() {
        // Knockout tracks dependencies automatically. It knows that fullName depends on firstName and lastName, because these get called when evaluating fullName.
        return this.firstName() + " " + this.lastName();
    }, this);

timmyshen

// Here's my data model
function ViewModel(first, last) {
    this.firstName = ko.observable(first);
    this.lastName = ko.observable(last);
    
    this.fullName = ko.computed(function() {
        // Knockout tracks dependencies automatically. It knows that fullName depends on firstName and lastName, because these get called when evaluating fullName.
        return this.firstName() + " " + this.lastName();
    }, this);
};

timmyshen

#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

---
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

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!

timmyshen

// 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

#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

#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

// 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