Miniconda is a great way to get working Python environment on variety of operating systems. This tutorial goes trough the necessary steps to get a Python environment with common scientific packages.
Check out Steve Holden's video going trough the same process and his valuable comments of what's going on.
Grab miniconda for your platform from the project page.
On Mac OS X or Linux:
# Download a package for my platform (MacOS X) wget http://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh # Make it executable chmod +x Miniconda3-latest-MacOSX-x86_64.sh # Run the installer ./Miniconda3-latest-MacOSX-x86_64.sh # Press ENTER to see license agreement. # (Read it) and press `q` to continue # Accept it by typing `yes`. # Note the installation prefix (/Users/dimazest/miniconda3). # I've decided *not* to add miniconda install location to my PATH # (to keep it tidy and avoid confusion).
On Windows, download a corresponding installer from http://conda.pydata.org/miniconda.html and run it. It's fine to add Python to your path on Windows, because the OS doesn't provide it's own Python installation.
Prepare Python environments
We might get an outdated version, so it's a good idea to update the installation.
Mac OS X or Linux:
~/miniconda3/bin/conda update conda
conda update conda
As you noticed, you need to prefix conda with ~/miniconda3/bin/ because it's not in the path on Mac OS X or Linux.
Create Python environments
Now we are ready to make an environment. It's a good practice to keep a dedicated environment per project. Imagine you have to projects, one is a web project and another is a scientific library. The scientific library doesn't need to the web stack your web application requires and vice-versa. Also this prevents versioning conflicts. When one project requires an old version of a library, and another requires the newest version of the same library.
These commands create tow virtual environments called py34 and py27 with a specific Python version and the packages included in anaconda. The environment names are not the best, but they are fine for the demonstration purposes. Prefer to name environments after the projects they are created for. Prefer to use Python 3, because it's the current version of Python. Use Python 2 only if you have to deal with software that is not compatible with Python 3.
~/miniconda3/bin/conda create -n py34 anaconda python=3.4 # Python 3.4 ~/miniconda3/bin/conda create -n py27 anaconda python=2.7 # Optionally, Python 2.7
Activate one of them:
# Mac or Linux source ~/miniconda3/bin/activate py34 # Windows activate py34
Now you are ready to run IPython Notebook: