Ben Shen timmyshen

The Best of the Best Practices (BOBP) Guide for Python

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

duplicates = multiple editions

	# 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),]

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

	# C extensions
	*.so

	# Distribution / packaging
	.Python
	env/

	# 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)

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

	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