Difference between revisions of "ML4T Software Installation"
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| + | == Overview == | ||
| + | |||
| + | Use the following instructions to set up a development environment on your local machine. It should include: | ||
| + | |||
| + | * The proper version of Python (namely 2.7) | ||
| + | * Installation of necessary libraries (e.g. NumPy, Pandas, etc.) | ||
| + | * Installation of historical stock data. | ||
| + | |||
| + | '''Important note''': We use a specific, static dataset for this course, which we will provide. If you download your own data from Yahoo (or elsewhere), you will get wrong answers on assignments. | ||
| + | |||
| + | == Instructions == | ||
| + | |||
| + | Install: | ||
| + | |||
| + | * Python 2.7 (NOT Python 3) [[http://docs.python-guide.org/en/latest/ link]]<br /> | ||
| + | ''If you're on Mac OS X, we recommend installing Python using [http://brew.sh/ Homebrew].'' | ||
| + | * pip (in case your Python doesn't come with it) [[https://pip.pypa.io/en/latest/installing.html link]] | ||
| + | * virtualenv, virtualenvwrapper (highly recommended) [[http://docs.python-guide.org/en/latest/dev/virtualenvs/ link]]<br /> | ||
| + | ''Create a virtual environment to use for this course, and pip install the following within it.'' | ||
| + | * IPython, NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [[http://docs.python-guide.org/en/latest/scenarios/scientific/ link]] | ||
| + | |||
| + | Test your environment by running the script: <tt>validate\_env.py</tt> (get it [https://s3.amazonaws.com/content.udacity-data.com/courses/ud501/assignments/01-HW2/validate_env.py here]). | ||
| + | |||
| + | python validate_env.py | ||
| + | |||
| + | If it complains, fix the problems, then repeat till you get a clean output (no errors or exceptions). | ||
Revision as of 20:43, 16 July 2015
Overview
Use the following instructions to set up a development environment on your local machine. It should include:
- The proper version of Python (namely 2.7)
- Installation of necessary libraries (e.g. NumPy, Pandas, etc.)
- Installation of historical stock data.
Important note: We use a specific, static dataset for this course, which we will provide. If you download your own data from Yahoo (or elsewhere), you will get wrong answers on assignments.
Instructions
Install:
- Python 2.7 (NOT Python 3) [link]
If you're on Mac OS X, we recommend installing Python using Homebrew.
- pip (in case your Python doesn't come with it) [link]
- virtualenv, virtualenvwrapper (highly recommended) [link]
Create a virtual environment to use for this course, and pip install the following within it.
- IPython, NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [link]
Test your environment by running the script: validate\_env.py (get it here).
python validate_env.py
If it complains, fix the problems, then repeat till you get a clean output (no errors or exceptions).
