Ben Shen timmyshen

Direct links to free Springer books (pdf versions)

duplicates = multiple editions

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

Active Share, Tracking Error, and Manager Style
PIMCO Quantitative Research
Steve Sapra, Ph.D., CFA and Manny Hunjan, CFA
October 2013

	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

	# 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)

	#-------------------------------------------------------------------------------

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

	# C extensions
	*.so

	# Distribution / packaging
	.Python
	env/

	# 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),]

	#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);