...
1. First, log in to the IDAS research instance with Python. If you are a student in a class that uses Python in IDAS, follow the instructions here to access your class instance.
22a. In JupyterLab, click the Terminal tile under Other to start a Terminal session.
...
2b. If this is your first time using conda in the Terminal in IDAS, initialize your shell by running the following command in the Terminal.
This command only needs to be run once. It will create a .bashrc file in your IDAS home directory if a .bashrc doesn’t already exist.
| Code Block |
|---|
conda init bash |
2c. Close the Terminal by clicking the x in the upper right corner of the Terminal window.
2d. Click the Terminal tile to open the Terminal again.
2e. Run the following command in the Terminal. This will source the .bashrc file that was just created.
| Code Block |
|---|
source ~/.bashrc |
The command prompt in your Terminal will change to indicate the active environment, which is the base environment by default.
| Code Block |
|---|
(base) HawkID@idas-research-HawkID:~$ |
| Info |
|---|
Every time you open a new Terminal session, you’ll have to run |
3. In Terminal, the conda create command can be used to create a new conda environment.
...
When prompted Proceed ([y]/n)?, press y to proceed.
Additional notes:
The conda create command can be modified to fit your needs. Below are a few additional examples:
Additional example 1: Install packages when creating an environment:
| Code Block |
|---|
conda create -n another-env python=3.8 numpy requests |
Additional example 2: Specify the versions of the packages:
| Code Block |
|---|
conda create -n another-env python=3.7 numpy=1.16.1 requests=2.19.1 |
Additional example 3: Create a conda environment from an environment.yml file:
| Code Block |
|---|
conda env create -f environment.yml |
| Info |
|---|
For more examples of creating conda environments, please see the section "Managing environments" in the Conda User Guide. |
...
1. First, log in to the IDAS research instance with Python. If you are a student in a class that uses Python in IDAS, follow the instructions here to access your class instance.
22a. In JupyterLab, click the Terminal tile under Other to start a Terminal session.
...
2b. If this is your first time using conda in the Terminal in IDAS, initialize your shell by running the following command in the Terminal.
This command only needs to be run once. It will create a .bashrc file in your IDAS home directory if a .bashrc doesn’t already exist.
| Code Block |
|---|
conda init bash |
2c. Close the Terminal by clicking the x in the upper right corner of the Terminal window.
2d. Click the Terminal tile to open the Terminal again.
2e. Run the following command in the Terminal. This will source the .bashrc file that was just created.
| Code Block |
|---|
source ~/.bashrc |
The command prompt in your Terminal will change to indicate the active environment, which is the base environment by default.
| Code Block |
|---|
(base) HawkID@idas-research-HawkID:~$ |
| Info |
|---|
Every time you open a new Terminal session, you’ll have to run |
3. In Terminal, the conda create command can be used to create a new conda environment.
...
When prompted Proceed ([y]/n)?, press y to proceed.
Additional notes:
You can create an R conda environment with just the
r-basepackage, like so:conda create -n r-env r-base
However, the
r-essentialspackage includes approximately 80 of the most popular packages for R, so it is convenient to install ther-essentialsbundle rather than installing each individual package later.Many R packages are available to install with conda, but not all. The latest index of R packages built by Anaconda, Inc. can be found on Anaconda Cloud or at http://repo.anaconda.com/pkgs/r/
For more information about using R with conda, please see Using R language with Anaconda and R language packages for Anaconda in the Anaconda documentation.
For more examples of creating conda environments, please see "Managing environments" in the Conda User Guide.
...
The following commands may be useful to manage conda environments. Type the following commands in Terminal. For more information, please refer to the "Managing environments" and "Managing packages" sections in the Conda User Guide.
List all of your environments. In the output, your current environment will be marked with an asterisk (*).
| Code Block |
|---|
conda info --envs |
or
| Code Block |
|---|
conda env list |
To activate a conda environment that was previously created, type (without the angle brackets):
| Code Block |
|---|
conda activate <environment-name> |
Deactivate a conda environment once you are finished working with it:
| Code Block |
|---|
conda deactivate |
Or, to return to the
...
base
...
environment, type (with no environment specified):
| Code Block |
|---|
conda activate |
View a list of packages installed in an environment:
If the environment is not activated, type (without the angle brackets):
| Code Block |
|---|
conda list -n <environment-name> |
If the environment was already activated with conda activate earlier:
| Code Block |
|---|
conda list |
To see if a specific package is installed in an environment, type (without the angle brackets):
| Code Block |
|---|
conda list -n <environment-name> <package-name> |
Or, if the environment was already activated with conda activate earlier, type (without the angle brackets):
| Code Block |
|---|
conda list <package-name> |
To install a package in an environment:
| Code Block |
|---|
conda install --name <environment-name> <package-name> |
Remove an environment:
| Code Block |
|---|
conda remove --name <environment-name> --all |
or
| Code Block |
|---|
conda env remove --name <environment-name> |
Using pip in a conda environment
...