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

#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

// 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

// 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

# 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

Source:

Active Share, Tracking Error, and Manager Style

PIMCO Quantitative Research
Steve Sapra, Ph.D., CFA and Manny Hunjan, CFA
October 2013

timmyshen

import sys
import json

def hw():
    print 'Hello, world!'

def lines(fp):
    print str(len(fp.readlines()))

def main():

timmyshen

#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);

timmyshen

# Step 1.
seaflow <- read.csv('seaflow_21min.csv', header=T)
summary(seaflow)

# Step 2.

# a <- sample(dim(seaflow)[1], dim(seaflow)[1]*0.8)
# trainseaflow <- seaflow[a,]
# b <- 1:dim(seaflow)[1]
# test.df <- seaflow[setdiff(b, a),]

timmyshen

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

# C extensions
*.so

# Distribution / packaging
.Python
env/