Difference between revisions of "MC1-Homework-2"

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(Corrected links and clarified instructions for submitting on Udacity)
 
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* Installation of historical stock data.
 
* 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.
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'''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==
 
==Task==
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You should:
 
You should:
  
* Follow installation instructions here: [[ML4T Software Installation]]
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* Follow installation instructions here: [[ML4T Software Installation]] to set up a virtual machine.
* Test your environment by running the script <tt>validate_env.py</tt> from the <tt>ML4T/</tt> directory
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* Test your environment by running the script <tt>validate_env.py</tt> from the <tt>ml4t/</tt> directory
 
* 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. You will need to submit this on Udacity.
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Copy and save the output of <tt>validate_env.py</tt> in a text file named <tt>output.txt</tt>
 
 
==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 [http://docs.python-guide.org/en/latest/dev/virtualenvs/ Virtual Environments].
 
  
 
==What to turn in==
 
==What to turn in==
  
Submit the output of <tt>validate_env.py</tt> on Udacity. Continue here: [https://www.udacity.com/course/viewer#!/c-ud501/l-4314548698/m-4286272424 MC1-Homework-2 - Instructions]
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* 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.