Environment creation

  1. I can create a (simple) new environment.
$ conda create --name my_awesome_env_name

  1. I can create a new environment with a specific python version.
$ conda create --name my_awesome_env_name python=3.7.4

  1. I can create a new environment with
    • a specific python version.
    • a list of package to install.
$ conda create --name my_awesome_env_name python=3.7.4 pip jupyter myawesomepackage=1.x

  1. I can create an environment from a YAML file. Which is awesome as it allows us to share environment structure and dependencies across machines.

    Such file look like this:

    name: my_awesome_env_name
    # A list of channels to use/look for package from can be given (another awesome feature :=) )
    - defaults
    - conda-forge
    - python=3.7.4
    - pip
    - flask
    - pip: # All packages which are not available into conda's registry can be listed here.
        - python-dotenv
        - black

    And they can be used like this.

    $ conda env create --file path_to_the_awesome_yaml_file

Environment deletion

For the deletion is simple.

$ conda env remove --name my_awesome_env_name

Environment update

Sometime, we may need to update the environment.

As example:

  • We don't need an old package
  • A new version of a dependency is available
  • We new a new package

It's as simple as it's creation.

$ conda env update --file path_to_the_awesome_yaml_file --prune

The --prune argument is just the summon of environment management. Indeed it deletes all packages which we don't need :smile:

Environment list

I can get a list of all available environments.

$ conda env list

Package list

I can get a list of the installed package in an environment with the following.

$ conda list --name my_awesome_env_name

Environment clone

Just discovered with the help message that it's possible to clone an environment.

$ conda create --name my_awesome_clone_name --clone my_awesome_env_name

Environment file generation

It's possible to export the currently activated environment into a YAML file. It's practical as we can generate the file and share it.

$ conda env export > path_to_the_new_awesome_yaml_file_to_share

Environment activation

At any time we can switch from an environment to another. But the most important thing to remember: an environment can be activated like this:

$ conda activate my_awesome_env_name

Current environment name and location

To find the currently active environment, we can do this:

$ conda env list | awk '{ if (NF > 0 && substr($1,1,1) != "#" && $2 == "*") print $1 " " $3 }'

Environment deactivation

And to deactivate the currently active environment, it's even easier.

$ conda deactivate

This is something I had been asked for by an Arch newcomer.

The short version

$ pacman -Ql package-name

The long version

$ pacman --query --list package-name

What does the manual say?

-Q, --query

-Q, --query
    Query the package database. This operation allows you to view installed packages and their files, as well as meta-information about individual packages
    (dependencies, conflicts, install date, build date, size). This can be run against the local package database or can be used on individual package files. In the
    first case, if no package names are provided in the command line, all installed packages will be queried. Additionally, various filters can be applied on the
    package list. See Query Options below.

-l, --list

-l, --list
    List all files owned by a given package. Multiple packages can be specified on the command line.