![]() ![]() To verify that the flowers environment has now been removed, type the command: conda info -envsįlowers is no longer in your environment list, so we know it was deleted. If you didn’t really want an environment named flowers, just remove it as follows: conda remove -name flowers -all You should now see the three environments listed: flowers, bunnies, and snowflakes. Here we will clone snowflakes to create an exact copy named flowers: conda create -name flowers -clone snowflakesĬheck to see the exact copy was made: conda info -envs Make an exact copy of an environment by creating a clone of it. ![]() Which environment are you using right now - snowflakes or bunnies? To find out, type the command: conda info -envsĬonda displays the list of all environments, with the current environment The list of all environments will be the same with either command. You can also use the conda environments list command as follows: conda env list Snowflakes /home/username/miniconda/envs/snowflakesīunnies /home/username/miniconda/envs/bunnies You will see a list of environments like the following: conda environments: Use the conda environment info command to find out: conda info -envs Now you can use conda to see which environments you have installed so far. TIP: You can add much more to the conda create command, type conda create -help for details. Installing one program at a time can lead to dependency conflicts. #GEDIT COMMAND INSTALL#TIP: Install all the programs you will want in this environment at the same time. ![]() This will create a second new environment named /envs/bunnies with Python 3 and Astroid and Babel installed. With this second environment, you can install a different version of Python, and a couple of packages: conda create -name bunnies python=3 astroid babel ![]() So you can try switching or moving between environments, create and name a new environment. You can specify a different path, see conda create -help for details.ĭeactivate the environment with the following:Ĭonda removes the path name (snowflakes) from your system command. TIP: Environments are installed by default into the envs directory in your conda directory. Change environments (activate/deactivate)Ĭonda prepends the path name (snowflakes) onto your system command. See conda -help or conda -h for a list of abbreviations. So -name and -n options are the same and -envs and -e are the same. TIP: Many frequently used options after two dashes ( -) can be abbreviated with just a dash and the first letter. This environment will use the same version of Python that you are currently using, because you did not specify a version. This will create a new environment named /envs/snowflakes that contains the program Biopython. To create a new environment, use the conda create command, followed by any name you wish to call it: conda create -name snowflakes biopython In order to manage environments, we need to create at least two so you can move or switch between them. The same help that is available in conda is also available online from our :doc:`command reference documentation `. For example, to learn about the conda environment command: conda env -help #GEDIT COMMAND FULL#You can even share an environment file with a coworker.Īnytime you wish to see the full documentation for any command, type the command followed by -help. Switching or moving between environments is called activating the environment. #GEDIT COMMAND UPDATE#With conda, you can create, export, list, remove, and update environments that have different versions of Python and/or packages installed in them. More notes on environment variable scripts.Change environments (activate/deactivate). ![]()
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