Ben Shen timmyshen

## Tensorflow for Poets.ipynb

      
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                timmyshen
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              Created
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                — forked from bourdakos1/Tensorflow for Poets.ipynb
            
          
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## springer-free-maths-books.md

      
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                timmyshen
                / springer-free-maths-books.md
            
            
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              December 29, 2015 23:23
                — forked from bishboria/springer-free-maths-books.md
            
              
                Springer have made a bunch of books available for free, here are the direct links
              
          
    Direct links to free Springer books (pdf versions)

Graduate texts in mathematics

duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

  
## NBA_stats_mining.py
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

## bobp-python.md

      
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                timmyshen
                / bobp-python.md
            
            
              Created
              November 21, 2015 01:31
                — forked from sloria/bobp-python.md
            
              
                A "Best of the Best Practices" (BOBP) guide to developing in Python.
              
          
    The Best of the Best Practices (BOBP) Guide for Python

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

Values


"Build tools for others that you want to be built for you." - Kenneth Reitz
"Simplicity is alway better than functionality." - Pieter Hintjens


## mice_imp.R
# 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)

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

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

# C extensions
*.so

# Distribution / packaging
.Python
env/

## tweet_sentiment.py
import sys
import json

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

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

def main():

## Readme.md

      
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    Source:


Active Share, Tracking Error, and Manager Style

PIMCO Quantitative Research

Steve Sapra, Ph.D., CFA and Manny Hunjan, CFA

October 2013

  
## gist:eed7d4ba5c26e437e676
# 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

## capture.cpp
#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 };
	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/
	import sys
	import json

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

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

	def main():
	# 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
	#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 };