Commit 0149f46

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Make docker container for tutorial (#80)

* got docker container working * fixed notebook execution issue * ignoring built docs locally

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`@@ -1,3 +1,6 @@`
	`1`	`+# Custom`
	`2`	`+docs/*`
	`3`	`+`
`1`	`4`	`# Byte-compiled / optimized / DLL files`
`2`	`5`	`__pycache__/`
`3`	`6`	`*.py[cod]`

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`@@ -0,0 +1,28 @@`
	`1`	`+# Base image: miniconda3`
	`2`	`+FROM continuumio/miniconda3`
	`3`	`+`
	`4`	`+# Install GCC for Theano`
	`5`	`+RUN apt-get install build-essential -y`
	`6`	`+`
	`7`	`+# Install environment`
	`8`	`+COPY ./environment.yml /environment.yml`
	`9`	`+RUN conda env create -f /environment.yml`
	`10`	`+RUN rm /environment.yml`
	`11`	`+`
	`12`	`+ENV PATH /opt/conda/envs/bayesian-modelling-tutorial/bin:$PATH`
	`13`	`+# For debugging purposes during environment build`
	`14`	`+RUN conda list -n bayesian-modelling-tutorial`
	`15`	`+`
	`16`	`+# Install jupyterlab extensions`
	`17`	`+RUN jupyter labextension install @pyviz/jupyterlab_pyviz`
	`18`	`+RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager`
	`19`	`+`
	`20`	`+# Copy contents of repository to Dockerfile`
	`21`	`+COPY . /root/bayes`
	`22`	`+WORKDIR /root/bayes`
	`23`	`+`
	`24`	`+# Create Jupyter kernel to match notebooks`
	`25`	`+RUN python -m ipykernel install --user --name bayesian-stats-modelling-tutorial`
	`26`	`+`
	`27`	`+# Entry point is Jupyter lab`
	`28`	`+ENTRYPOINT jupyter lab --port 8999 --ip="*" --allow-root --no-browser`

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`@@ -2,32 +2,35 @@ name: bayesian-modelling-tutorial`
`2`	`2`	`channels:`
`3`	`3`	`- conda-forge`
`4`	`4`	`- defaults`
	`5`	`+- anaconda`
`5`	`6`	`- ericmjl`
`6`	`7`	`dependencies:`
`7`	`8`	`- python=3.7`
`8`		`-- jupyter`
`9`		`-- pymc3`
`10`		`-- pip`
`11`		`-- seaborn`
`12`		`-- matplotlib`
`13`		`-- numpy>=1.16`
`14`		`-- scipy`
`15`		`-- pandas`
`16`		`-- jupyterlab`
`17`		`-- tqdm`
`18`		`-- missingno`
`19`		`-- scikit-learn`
`20`		`-- cython`
`21`		`-- nodejs`
`22`		`-- pyjanitor`
`23`		`-- xarray`
`24`		`-- pandoc`
`25`		`-- black`
`26`		`-- nbstripout`
`27`		`-- pylint`
`28`		`-- arviz`
`29`		`-- theano>=1.0.4`
`30`		`-- ipykernel`
`31`		`-- hvplot`
`32`		`-- bokeh`
`33`		`-- holoviews`
	`9`	`+- jupyter=1.0.0`
	`10`	`+- pymc3=3.7`
	`11`	`+- pip=19.2.3`
	`12`	`+- seaborn=0.9.0`
	`13`	`+- matplotlib=3.1.1`
	`14`	`+- numpy=1.16.4`
	`15`	`+- scipy=1.3.1`
	`16`	`+- pandas=0.25.1`
	`17`	`+- jupyterlab=1.0.9`
	`18`	`+- tqdm=4.35.0`
	`19`	`+- missingno=0.4.2`
	`20`	`+- scikit-learn=0.21.3`
	`21`	`+- cython=0.29.13`
	`22`	`+- nodejs=12.8.1`
	`23`	`+- pyjanitor=0.18.1`
	`24`	`+- xarray=0.12.3`
	`25`	`+- pandoc=2.7.3`
	`26`	`+- black=19.3b0`
	`27`	`+- nbstripout=0.3.6`
	`28`	`+- pylint=2.3.1`
	`29`	`+- arviz=0.4.1`
	`30`	`+- theano=1.0.4`
	`31`	`+- ipykernel=5.1.2`
	`32`	`+- hvplot=0.4.0`
	`33`	`+- bokeh=1.3.4`
	`34`	`+- holoviews=1.12.5`
	`35`	`+- mkl=2019.4`
	`36`	`+- mkl-service=2.2.0`

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