zemadi

#My solutions to challenges from CoderByte.com. Their Python interpreter is buggy. 

#1 Using the Python language, have the function FirstReverse(str) take the str parameter being passed and return the string in reversed order. 
def FirstReverse(str): 
 print str[::-1]


#2 Using the Python language, have the function FirstFactorial(num) take the num parameter being passed and return the factorial of it (ie. if num = 4, return (4 * 3 * 2 * 1)). For the test cases, the range will be between 1 and 18. 
def FirstFactorial(num): 

zemadi

library(shiny)
library(ggmap)
library(ggplot2)

SFTrees <- read.csv("~/R/win-library/3.0/Projects/SF Trees/SFTrees.csv")
na.omit(SFTrees$PlantDate)
na.omit(SFTrees$Longitude)
na.omit(SFTrees$Latitude)
                    

zemadi

#This assignment was to play with text.

# 1) Ask the user for their name
# 2) Print their name backwards
# 3) Print their name 10 times with spaces between each name.

#name = raw_input ("What is your name?")
name = "Zhila"
print name[::-1]
#print name[1:]

zemadi

library(rworldmap)
library(RColorBrewer)

#I had the data as .CSV and loaded it into RStudio, then did a little editing. I had a dataset with ISO country codes added in already, and fortunately, the World Bank populates that automatically with data exports.
Country_Pop <- read.csv("~/R/win-library/3.0/Ref_Pop/Country_Pop.csv")
RefRes <- read.csv("~/R/win-library/3.0/Ref_Pop/RefRes.csv")

#Merge datasets on the ISO code variable
Mig_Total <- merge(Country_Pop,RefRes,by=c("Code","Code"))
#Remove any duplicate columns.