MC1-Homework-2

From Quantitative Analysis Software Courses
Revision as of 20:29, 14 August 2015 by Arpan987 (talk | contribs)
Jump to navigation Jump to search

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
  • 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. You will need to submit this on Udacity.

Resources and ideas

Tip: If you are working on another Python-based class or project that may depend on specific versions of Python libraries, we strongly recommend that you use Virtual Environments.

What to turn in

Submit the output of validate_env.py on Udacity. Continue here: MC1-Homework-2 - Instructions