Splicer and it’s add-ons are distributed via PyPI Python’s package index. The simpelest way to install splicer is to use a command like pip.
$ pip install splicer splicer_console
One of the main motivatinos of splicer is to make sharing data analysis and ETL scripts easy between individuals. Therefore we recomend you setup your project in a manner similar to modern python web apps.
Assuming you have git, pip and virtualenv installed this is how you would typically setup a project to use Splicer and it’s add-ons.
$ mkdir myproject
$ cd myproject
$ git init
$ cat > .gitignore <<-EOF
bin/
include/
lib/
*.py[co]
EOF
$ virtualenv .
$ source bin/activate
$ cat > requirements.txt <<-EOF
splicer>=0.1.0
splicer_console>=0.1.0
$ pip install -r requirments.txt
Then create a python script similar to one described in The Basics and publish this git repository the way you normally would (via github etc...)
If you’re a member of the team then working a splicer project would look something like this.
$ git clone git@github.com:<your org>/myproject.git
$ cd myproject
$ virtualenv .
$ source bin/activate
$ pip install -r requirments.txt
$ python ./project.py
That’s all you need to install splicer form scratch or get some one elses project up and running, so why not learn how to set up a dataset and query it in The Basics