Squirro Training Resources

Included here are a set of examples and training resources meant to accompany the Squirro platform documentation and Squirro partner training resources

Getting Started

Requirements

To use the examples here, you will need to install the Squirro toolbox. The Squirro toolbox is available to all Squirro Partners and Developers Here. If you would like access to the Squirro Data Loader, please contact support@squirro.com.

Python

To use the Squirro Toolbox, you must have Python 3 installed.

It is recommended to install python via Homebrew

$ brew install python

Virtualenvs

While not required, it is highly recommended that you create a virtual environment to use for Squirro development.

To create a virtual environment, run the commands below (after you have Python installed)

$ pip install virtualenvwrapper
$ export WORKON_HOME=~/.virtualenvs
$ mkdir -p $WORKON_HOME
$ source /usr/local/bin/virtualenvwrapper.sh

Create the Virtualenv for Squirro

$ mkvirtualenv squirro

Once the virtualenv is created, you can switch into the new virtualenv by running:

$ workon squirro

If you want to automatically enter the virtualenv whenever you open a new terminal window, you can add the following to your bash profile:

export WORKON_HOME=~/.virtualenvs
source /usr/local/bin/virtualenvwrapper.sh
# Set default virtualenv for python
workon squirro