Difference between revisions of "MC1-Homework-2"
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==What to turn in== | ==What to turn in== | ||
| − | Submit the output of <tt>validate_env.py</tt> | + | * 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. |
Revision as of 14:41, 25 November 2015
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 as output.txt via t-square. It is very important that you use exactly that filename.
