Homework One

Fundamentals of Data Science

First homework assignment

This assignment is due Sunday, September 10th by midnight. Please submit it using HuskyCT. Follow the instructions below.

0. Create a project directory named Homework_One, and inside it create a subdirectory called python.

1. In the python directory, create a jupyter notebook named Homework_One.ipynb.

2. Using a markdown cell, add text at the beginning of your notebook that yields text following this template:

   Header: First Homework Assignment for Grad 5100

   Text: Submitted by [your name] on [the date]

   Topic: Some features of the python language.

(Hint: you can get the word python formatted this way by using backticks: `python`) 3. Using a code cell, create the following variables:

first_name = # your first name (a string)
last_name = # your last name (a string)
year = # current year, an integer
states = # a list of strings containing the names of the New England states (look them up)

Working in code cells, complete the following

first_name_345 = first_name[] # fill in the [] to extract the third, fourth, and fifth letters of your first name (note this could be an empty string, or shorter than three letters)
print() # complete the print statement to show your answer

last_name_last = last_name[] # fill in the [] to extract the last letter of your last name. Do not assume you know how many letters are in your last name. 
print() # complete the print statement to show your answer

year_5 = # compute the year multipled by 5
print() # print the answer

The sorted command takes a list and returns it sorted.

states_sorted = sorted(states) # sort your list of states
mid = states+_sorted[][] # complete the []'s to find the last letter of the third New England state in alphabetical order. 
print() # print the answer

5. Export your jupyter notebook as a pdffile and submit it using HuskyCT.
6. Go back to your project directory and create a subdirectory called R. In that directory, start Rstudio.
7. Create an RMD file called Homework_One.rmd and repeat the steps above, but working in R and Rstudio. Notice that you’ll have to make some small modifications to the syntax:
   • change “Python” to “R”
   • replace “=” by “<-”
   • in R, you use sort not sorted
8. Export your RMD file as a pdf file and submit it using HuskyCT.