University of Washington Coursera.org course Machine Learning workspace

Installation

Set up Python environment using Anaconda

Install Anaconda, a package manager and an environment manager for Python.

conda create -n univ-washington-machine-learning-python-virtualenv python=2.7 anaconda source activate univ-washington-machine-learning-python-virtualenv conda update pip conda update ipython ipython-notebook pip install --upgrade --no-cache-dir https://get.dato.com/GraphLab-Create/1.8.4/XXX@gmail.com/6BE1-5664-392B-33BD-D0E7-C4C9-1897-D5C8/GraphLab-Create-License.tar.gz

Alternatively, set up Python environment using virtual environments

Read the basics of Python virtual environments (virtualenv) ¹, ².
Install Python, pip:
```
  brew install python 
```
Make sure pip is up-to-date
```
  pip install --upgrade pip
```

Install virtualenv packages using pip:

  pip install --upgrade virtualenv virtualenvwrapper

Set up virtual environment for this course ³.

  mkvirtualenv univ-washington-machine-learning-python-virtualenv

Customize bin/postactivate from this Git repo.

Activate the new virtual environment

    deactivate # deactivate if already in
    workon
    workon univ-washington-machine-learning-python-virtualenv
    # cd path/to/project

Install packages which should be automatically run via bin/postactivate, but also alternatively, manually by:

    pip install --upgrade pip
    pip install --upgrade "ipython[notebook]"
    pip install --upgrade matplotlib
    pip install --upgrade --no-cache-dir https://get.dato.com/GraphLab-Create/1.8.4/XXX@gmail.com/6BE1-5664-392B-33BD-D0E7-C4C9-1897-D5C8/GraphLab-Create-License.tar.gz

Configure matplotlib backend to TkAgg in ~/.matplotlib/matplotlibrc ⁴:
```
  backend: TkAgg
```

Alternatively, in Jupyter notebook, run

    import matplotlib
    #matplotlib.use('qt4agg')
    matplotlib.use('tkagg')

before plotting.

References

Python virtual environments (virtualenv package), http://docs.python-guide.org/en/latest/dev/virtualenvs ↩
Python virtual environment wrappers (virtualenvwrapper package), https://virtualenvwrapper.readthedocs.org ↩
`virtualenvwrapper quick-start, https://virtualenvwrapper.readthedocs.org/en/latest/install.html#quick-start ↩
http://matplotlib.org/faq/virtualenv_faq.html ↩

About

University of Washington Machine Learning course (https://www.coursera.org/specializations/machine-learning) Python virtual environment.

Languages

Language:Shell 100.0%