cd ~/Downloads
wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh
# go through the licensing and accept the defaults
source ~/.bashrc
conda update conda

conda config --add channels conda-forge
conda config --set always_yes yes

# set the environment name here

envname='dspy3'

packages='
altair
anaconda-client
black
bqplot
ipyvolume
ipywebrtc
ipywidgets
jupyter
jupyter_contrib_nbextensions
jupyterlab
matplotlib
mkl
mpld3
notebook
numpy
pandas
pip
pivottablejs
pyparsing
pyscaffold
qgrid
scikit-learn
scipy
seaborn
sphinx
statsmodels
vaex
vega
vega_datasets
xlrd
yapf
'

conda create -n $envname python=3.8 $packages
conda activate $envname

# Pause here, double check that this pip is the correct one
type pip

# the correct one will say something like... 
# $ type pip
# pip is /Users/jonathan/miniconda3/envs/dspy3/bin/pip

python -m pip install pyhive sql_magic SQLAlchemy nbdime papermill nbdev

# lets the notebook extension (like ToC2) be enabled.
# Might not be needed!
# jupyter nbextension enable --py --sys-prefix widgetsnbextension

# This sets the name of the kernel that you want to select from the Kernel menu
python -m ipykernel install --user --name $envname --display-name "$envname"


# jupyterlab widgets
# conda install -c conda-forge nodejs  
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install ipyvolume jupyter-threejs @jupyterlab/toc
jupyter labextension install jupyter-threejs bqplot nbgather qgrid

# Run to get a notebook
jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000

# Run to get lab
jupyter lab --NotebookApp.iopub_data_rate_limit=10000000

# create environment
conda env export -n dspy3 -f environment.lock.yaml
# load
conda env update --file environment.yaml

# to create new python package I did this from root directory of this repo
putup insight
cd insight/
python setup.py develop