Step 1: Install Python 2.7, pip, and virtualenv using the following commands

    $ sudo apt-get install python2.7
    $ sudo apt-get install python-pip python-dev python-virtualenv
    
You can then check the version of Python using the following command

    $ python --version
    
Step 2: Install TensorFlow with virtualenv.

  Virtualenv is a virtual Python environment isolated from other Python development, incapable of interfering with or being affected by other Python programs on the same machine. 
  To start working with TensorFlow, you simply need to "activate" the virtual environment. 
  When you are done using TensorFlow, you may "deactivate" the environment.
  
  Step 2.1: Create a virtualenv environment using the following command
  
    $ virtualenv --system-site-packages ~/tensorflow

  Step 2.2: Activate the virtualenv environment using the following command
  
    $ source ~/tensorflow/bin/activate
    
  Step 2.3: Install TensorFlow version r.0.10 using the following command where URL depends on CPU/GPU support
  
    (tensorflow)$ pip install --upgrade URL 

    # with CPU support only
    URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

    # with NVIDIA-GPU support
    URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

  Step 2.4: Check TensorFlow version, installation, device
  
    $ python
    >>> import tensorflow as tf
    >>> print(tf__version__)
    >>> sess = tf.InteractiveSession()
    >>> sess.close()
    >>> quit()

  Step 2.5: Deactivate the virtualenv environment using the following command
  
    (tensorflow)$ deactivate
    
Step 3: Install Cython using the following command
    
    $ pip install Cython