Difference between revisions of "MC1-Homework-2"

From Quantitative Analysis Software Courses
Jump to navigation Jump to search
 
(2 intermediate revisions by the same user not shown)
Line 17: Line 17:
 
* If it complains, fix the problems, then repeat
 
* If it complains, fix the problems, then repeat
  
Copy and save the output of <tt>validate_env.py</tt> in a text file named <tt>validate_env.txt</tt>
+
Copy and save the output of <tt>validate_env.py</tt> in a text file named <tt>output.txt</tt>
  
 
==What to turn in==
 
==What to turn in==
  
* Submit the output of <tt>validate_env.py</tt> as <tt>output.txt</tt> via t-square.  It is very important that you use exactly that filename.
+
* Submit the output of <tt>python validate_env.py</tt> as <tt>output.txt</tt> via t-square.  It is very important that you use exactly that filename.

Latest revision as of 15:57, 13 January 2016

Overview

The purpose of this homework is to make sure you've got a development environment set up so you can write and test code for the remaining assignments. Your development environment includes:

  • The proper version of Python (namely 2.7)
  • Installation of necessary libraries (e.g. Pandas, NumPy, etc.)
  • Installation of historical stock data.

Important note: We use a specific, static set of data for this course. If you download your own data from Yahoo, you will get the wrong answers on the assignments.

Task

You should:

  • Follow installation instructions here: ML4T Software Installation to set up a virtual machine.
  • Test your environment by running the script validate_env.py from the ml4t/ directory
  • If it complains, fix the problems, then repeat

Copy and save the output of validate_env.py in a text file named output.txt

What to turn in

  • Submit the output of python validate_env.py as output.txt via t-square. It is very important that you use exactly that filename.