Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)That's it!
| // 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) = |
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)That's it!
| --- | |
| 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 |
| #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 }; |
| // 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); | |
| }; |
| // 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); |
| # 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 |
PIMCO Quantitative Research
Steve Sapra, Ph.D., CFA and Manny Hunjan, CFA
October 2013
| import sys | |
| import json | |
| def hw(): | |
| print 'Hello, world!' | |
| def lines(fp): | |
| print str(len(fp.readlines())) | |
| def main(): |
| #include <iostream> | |
| #include <chrono> | |
| #include <random> | |
| int main(int argc, char* argv []) | |
| { | |
| auto x = 1; | |
| std::cout << "auto variable x = " << x << std::endl; | |
| srand(0u); |