Working with packages
How to work with packages
DataCamp Workspace is preconfigured with a recent version of Python and R and a host of commonly used data science and machine learning packages.
On top of that you can install additional packages or different versions of the pre-installed packages right from any notebook.
When in the Workspace editor, click on the Environment tab
in the sidebar on the left. You can now browse and search an overview of all available packages. If you search for a package that is not pre-installed, you will get instructions on how to install that particular package. If you click "Add to notebook", the package install command will be added at the top of your notebook in a new code cell and immediately executed.
Package install instructions that appear if you want to install an R package that is not yet available.
If a package you want to use is not pre-installed, you can install it yourself using as described below.
Note that you need to reinstall packages every time your workspace session is restarted, which happens 5 minutes after closing the workspace tab or after 30 minutes of inactivity on the free plan.
To make this easy, keep track of additional package installs at the top of your notebook, so you can easily rerun the commands when you return to your workspace and to ensure that workspace publications can complete without issues.
To install additional packages, add
!pip install <name-of-pkg>e.g.
!pip install pythonwhatin a code cell. If you want to install a specific version of a package, including the ones that come pre-installed, use
!pip install <name-of-pkg>==<wanted-version>.
If you want to suppress the output when installing additional packages, you can use
%%capturein the line above the
!pip install PyPortfolioOpt==1.4.2
If you want to suppress the output when installing additional packages, you can use the
quiet = TRUEargument:
install.packages("PortfolioAnalytics", quiet = TRUE)
You can also use
suppressPackageStartupMessages()to suppress output.
Due to security reasons, currently not all packages can be installed.
In particular installing packages with native dependencies might fail partially or completely due to a lack of permissions to execute certain installation steps.