anaconda_env_setup_commands.txt

## In the base environment
# Update conda
conda update -n base -c defaults conda

# Create new environment replace "ctd_env312" with a name of your choice and choose the version of Python (e.g. 3.12 in this example)
conda create -n ctd_env312 python=3.12

## Change into the new environment using the name assigned above

conda activate ctd_env312

# Install Jupyter and ipykernel

# conda install -c anaconda jupyter # maybe doesn't need to be installed if the base environment has Jupyter running

conda install -c anaconda ipykernel

## Define this environment as a named ipykernel to be available to Jupyter notebooks

python -m ipykernel install --user --name=ctd_env312_notebooks

## Install packages used by the CTD processing notebook

conda install -c conda-forge chevron=0.14.0
conda install -c conda-forge numpy=1.26.4
conda install -c conda-forge pandas=2.2.2
conda install -c conda-forge pyodbc=5.0.1
conda install -c conda-forge seawater=3.3.5
conda install -c conda-forge bokeh=3.5.1
conda install -c conda-forge xlrd=2.0.1
conda install -c conda-forge widgetsnbextension=3.6.1
conda install -c conda-forge jupyterlab_widgets


Debugger warning: It seems that frozen modules are being used, which may make the debugger miss breakpoints. Please pass -Xfrozen_modules=off to python to disable frozen modules.