<jupyter_start><jupyter_text>illumidesk/datascience-notebookRun the cells below to inspect what's in the [illumidesk/datascience-notebook](https://github.com/IllumiDesk/workspaces/tree/master/datascience-notebook) image.Click here to open a [JupyterLab](../lab) tab. Click here to open a [Classic Notebook](../notebooks) tab. AttributionsThis image builds upon the base [Jupyter docker-stacks](https://github.com/jupyter/docker-stacks) images.  Environment Run the cels below to confirm the Jupyter environment setup.  Confirm User<jupyter_code>!id<jupyter_output><empty_output><jupyter_text>Confirm the contents of the user's working directoryHere's the contents of that user's home directory, the default notebook directory for the server.<jupyter_code>!ls -al<jupyter_output><empty_output><jupyter_text>Confirm that `conda` is available in the user's path.<jupyter_code>!which conda<jupyter_output><empty_output><jupyter_text>Confirm that the user has read/write access to the root conda environment.<jupyter_code>!ls -l /opt/conda<jupyter_output><empty_output><jupyter_text>Confirm `pip` and `conda` packages<jupyter_code>!conda list
!pip list<jupyter_output><empty_output><jupyter_text>Confirm PATH.<jupyter_code>!echo $PATH<jupyter_output><empty_output><jupyter_text>Confirm Python path and version<jupyter_code>!which python
!python --version<jupyter_output><empty_output><jupyter_text>Confirm Julia path and version<jupyter_code>!which julia
!julia --version<jupyter_output><empty_output><jupyter_text>Confirm R path and version<jupyter_code>!which R
!R --version<jupyter_output><empty_output><jupyter_text>Confirm NodeJs kernel path and versions<jupyter_code>!ijsconsole --versions<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10174418604651163, 'fraction_numerical': 0.0, 'mean_word_length': 8.72316384180791, 'pattern_counts': {'":': 0, '<': 41, '<?xml version=': 0, '>': 41, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '10', 'dir': 'jupyter-structured-clean-dedup', 'id': '233193', 'license': 'MIT', 'n_tokens_mistral': 598, 'n_tokens_neox': 583, 'n_words': 127, 'path': 'minimal-notebook/env_test.ipynb', 'repo_name': 'jkp85/workspaces', 'size': '1720'}