Difference between revisions of "ML4T Software Installation"
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'''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. | '''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. | ||
| − | == | + | == Required software == |
| − | Install | + | Install Python 2.7 (NOT Python 3) and the necessary libraries as instructed below for your favorite platform. |
| − | + | === Linux === | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | * Install Python 2.7 [[http://docs.python-guide.org/en/latest/ link]] | |
| + | * Install pip (in case your Python doesn't come with it) [[https://pip.pypa.io/en/latest/installing.html link]] | ||
| + | * Install virtualenv, virtualenvwrapper (highly recommended) [[http://docs.python-guide.org/en/latest/dev/virtualenvs/ link]]<br /> | ||
| + | ** Create a virtual environment to use for this course: | ||
| + | $ mkvirtualenv ml4t | ||
| + | $ workon ml4t | ||
| + | ** And then pip install the following within it. | ||
| + | * NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [[http://docs.python-guide.org/en/latest/scenarios/scientific/ link]] | ||
| − | + | === Mac OS X === | |
| − | If it complains, fix the problems, then repeat | + | * Install Python 2.7 via Homebrew |
| + | ** If you don't have it already, first get [http://brew.sh/ Homebrew] | ||
| + | ** Then: <tt>brew install python</tt> | ||
| + | * Install virtualenv, virtualenvwrapper (highly recommended) [[http://docs.python-guide.org/en/latest/dev/virtualenvs/ link]]<br /> | ||
| + | ** Create a virtual environment to use for this course: | ||
| + | $ mkvirtualenv ml4t | ||
| + | $ workon ml4t | ||
| + | ** And then pip install the following within it. | ||
| + | * NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [[http://docs.python-guide.org/en/latest/scenarios/scientific/ link]] | ||
| + | |||
| + | === Windows === | ||
| + | |||
| + | * Install Python 2.7 [[http://docs.python-guide.org/en/latest/ link]] | ||
| + | * Install pip (in case your Python doesn't come with it) [[https://pip.pypa.io/en/latest/installing.html link]] | ||
| + | * Install virtualenv, virtualenvwrapper (highly recommended) [[http://docs.python-guide.org/en/latest/dev/virtualenvs/ link]]<br /> | ||
| + | ** Create a virtual environment to use for this course: | ||
| + | C:\Users\Monty> mkvirtualenv ml4t | ||
| + | C:\Users\Monty> workon ml4t | ||
| + | ** And then pip install the following within it. | ||
| + | * NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [[http://docs.python-guide.org/en/latest/scenarios/scientific/ link]] | ||
| + | |||
| + | == Optional software == | ||
| + | |||
| + | * IPython [[http://docs.python-guide.org/en/latest/scenarios/scientific/ link]] | ||
| + | * A Python IDE, such as [https://www.jetbrains.com/pycharm/ PyCharm] or [https://pythonhosted.org/spyder/ Spyder] | ||
| + | |||
| + | == Data == | ||
| + | |||
| + | TODO: Link to ML4T.zip | ||
| + | |||
| + | === Test installation === | ||
| + | |||
| + | 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. | ||
Revision as of 10:27, 14 August 2015
Contents
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.
Required software
Install Python 2.7 (NOT Python 3) and the necessary libraries as instructed below for your favorite platform.
Linux
- Install Python 2.7 [link]
- Install pip (in case your Python doesn't come with it) [link]
- Install virtualenv, virtualenvwrapper (highly recommended) [link]
- Create a virtual environment to use for this course:
$ mkvirtualenv ml4t $ workon ml4t
- And then pip install the following within it.
- NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [link]
Mac OS X
- Install Python 2.7 via Homebrew
- If you don't have it already, first get Homebrew
- Then: brew install python
- Install virtualenv, virtualenvwrapper (highly recommended) [link]
- Create a virtual environment to use for this course:
$ mkvirtualenv ml4t $ workon ml4t
- And then pip install the following within it.
- NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [link]
Windows
- Install Python 2.7 [link]
- Install pip (in case your Python doesn't come with it) [link]
- Install virtualenv, virtualenvwrapper (highly recommended) [link]
- Create a virtual environment to use for this course:
C:\Users\Monty> mkvirtualenv ml4t C:\Users\Monty> workon ml4t
- And then pip install the following within it.
- NumPy 1.9+, SciPy 0.14+, Pandas 0.16+ [link]
Optional software
Data
TODO: Link to ML4T.zip
Test installation
Test your environment by running the script validate_env.py from the ML4T/ directory. If it complains, fix the problems, then repeat.
