Python Geospatial Analysis Cookbook

Installing virtualenv and virtualenvwrapper

This recipe will enable you to manage different versions of different libraries for multiple projects. We use virtualenv to create virtual Python environments to host collections of project-specific libraries in an isolated directory. For example, you may have an old legacy project using Django 1.4, whereas a new project requires you use Django version 1.8. With virtualenv, you can have both versions of Django installed on the same machine, and each project can access the appropriate version of Django without any conflicts or problems.

Without virtualenv, you are forced to either upgrade the old project or find a workaround to implement the new features of the other version, therefore limiting or complicating ...