Thus I do not write out the command for that. The best way to do that is to use the activate command with no environment specified:Īlternatively you can deactivate the present environment, but if you do that while in base, it might crash your conda setup. To update or manage your conda installation you need to deactivate any customized environment and return to the base environment. If you have defined, and activated, a virtual environment it will be shown instead:Īnd the first returned line should tell which environment that is active.

If you have not installed any virtual environments, the default environment is base: Open a Terminal window, and confirm that Anaconda is installed by typing at the prompt:īy default, the active environment-the one you are currently using-is shown in parentheses () or brackets at the beginning of your command prompt. Check your conda installation and environment This tutorial will take you through the steps of creating a virtual python environment in conda. In essence this means that you build a system that is working as a stand-alone solution not affecting the core (or ‘base’) system. To avoid having your complete system corrupted, it is recommended that you build the Python system and packages using a “virtual” environment. Sequentially installing (high level) packages can easily lead to a corrupt system due to conflicting requirements regarding shared packages. When installing many packages there is a large risk of forcing conflicting requirements regarding the versions of shared (i.e. Many high level packages depend on other, more basic, packages. You have to install these packages and then link them to the SPIDE. Karttur’s GeoImagine Framework requires a large set of Python packages to work.

If you created a conda virtual environment when setting up the SPIDE you can skip to the section “Install additional packages in your environments”. PrerequisitesĪnaconda/conda must be installed as described in this post. You can also share an environment by first exporting and then importing it. If you use Eclipe as your Integrated Development Environment (IDE) you can easily reset your Python source to a virtual version created in conda. With conda, you can create, update, export and import virtual Python environments that have different versions of Python and/or packages installed in them.

This post is an extended version of the post on Conda virtual environments in the blog on setting up the Spatial Data Integrated Development Environment (SPIDE).

Instaling Imagine 1.1.6