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one environment for this repo
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environment.yml

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name: bayesian # for Bayesian analysis
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name: bayesian-analysis-recipes # for Bayesian analysis
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channels:
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- defaults
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- conda-forge
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- ericmjl
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dependencies:
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- python=3.8
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- glances
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- missingno
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- missingno=0.4.2
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- pymc3=3.8
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- numpy-sugar
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- pygpu
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- cython
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- mkl-service
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- scikit-learn
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- autopep8
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- matplotlib
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- numpy
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- pandas
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- scipy
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- seaborn
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- jupyter
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- jupyterlab
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- ipykernel
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- jupyter_contrib_nbextensions
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- nbstripout
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- rise
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- h5py
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- pyjanitor
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- pygpu=0.7.6
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- scikit-learn=0.22
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- matplotlib=3.2.0
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- numpy=1.18.1
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- pandas=1.0.2
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- scipy=1.4.1
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- seaborn=0.10.0
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- jupyter=1.0.0
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- jupyterlab=2.0.1
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- ipykernel=5.1.4
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- nbstripout=0.3.7
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- rise=5.6.1
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- pyjanitor=0.20.4
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- pip
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- pre-commit
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- jupytext
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- nodejs
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- jupytext=1.4.0
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- glances=3.1.4
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- pip:
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- jax
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- jaxlib
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- -e git+https://github.com/pymc-devs/pymc4.git#egg=pymc4

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