Python3 Pandas and IPython3 in a Virtual Environment

venv-python3-pandas-ipython3.md

Instead of installing in a system-wide environment, we can setup in a localidzed, separated environment.

Create new virtualenv:

$ virtualenv --python=`which python3` open-data-crunch

Activate open-data-crunch virtualenv

$ cd open-data-crunch
$ . bin/activate
(open-data-crunch) $ 

Install IPython3

(open-data-crunch) $ pip install ipython

Collecting ipython
  Downloading ipython-3.2.0-py3-none-any.whl (3.4MB)
    100% |████████████████████████████████| 3.4MB 144kB/s 
Installing collected packages: ipython
Successfully installed ipython-3.2.0

Install pandas

(open-data-crunch) $ pip install pandas

Collecting pandas
  Using cached pandas-0.16.2.tar.gz
Collecting python-dateutil>=2 (from pandas)
  Using cached python_dateutil-2.4.2-py2.py3-none-any.whl
Collecting pytz>=2011k (from pandas)
  Using cached pytz-2015.4-py2.py3-none-any.whl
Collecting numpy>=1.7.0 (from pandas)
  Using cached numpy-1.9.2.tar.gz
Collecting six>=1.5 (from python-dateutil>=2->pandas)
  Using cached six-1.9.0-py2.py3-none-any.whl
Installing collected packages: six, python-dateutil, pytz, numpy, pandas
  Running setup.py install for numpy
  Running setup.py install for pandas
Successfully installed numpy-1.9.2 pandas-0.16.2 python-dateutil-2.4.2 pytz-2015.4 six-1.9.0

Install other dependencies:

(open-data-crunch) $ pip install tornado pyzmq jinja2 matplotlib

Collecting tornado
  Downloading tornado-4.2.tar.gz (433kB)
    100% |████████████████████████████████| 434kB 753kB/s 
Collecting pyzmq
  Downloading pyzmq-14.7.0.tar.gz (1.0MB)
    100% |████████████████████████████████| 1.0MB 417kB/s 
Collecting jinja2
  Downloading Jinja2-2.7.3.tar.gz (378kB)
    100% |████████████████████████████████| 380kB 728kB/s 

But it turns out, installing in a localized virtualenv is not as simple as it is. Just like what Julia Evans wrote.