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Merge pull request #1 from uw-it-aca/pm-move_notebooks_from_rttl-tools
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2 parents 0aacb9c + 873dae3 commit f9770c7

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‎.gitignore‎

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.DS_Store

‎datascience/Dockerfile‎

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ARG BASE_CONTAINER=jupyter/datascience-notebook:d990a62010ae
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FROM $BASE_CONTAINER
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LABEL maintainer="UW-IT AXDD <[email protected]>"
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# Base image includes:
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# texlive, git, vi, nano, tzdata, unzip
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# dask, pandas, numexpr, matplotlib, scipy, seaborn, scikit-learn,
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# scikit-image, sympy, cython, patsy, statsmodels, cloudpickle, dill, numba,
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# bokeh, sqlalchemy, hdf5, vincent, beautifulsoup, protobuf, xlrd, bottleneck,
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# pytables, ipywidgets, ipympl, facets
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# tidyverse, devtools, shiny, rmarkdown, forecast, rsqlite, nycflights13,
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# caret, tidymodels, rcurl, randomforest#
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# julia, ijulia, hdf5, gadfly, rdatasets
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RUN conda install \
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requests
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# Install Python 3 packages
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RUN pip install \
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requests-html \
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nbresuse==0.3.3 \
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nbgitpuller && \
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jupyter serverextension enable --py nbresuse --sys-prefix && \
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jupyter nbextension install --py nbresuse --sys-prefix && \
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jupyter nbextension enable --py nbresuse --sys-prefix && \
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jupyter serverextension enable nbgitpuller --sys-prefix
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USER root
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RUN apt-get update && apt-get install -y vim gcc
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# RUN echo 'export LD_LIBRARY_PATH=/usr/local/nvidia/lib64' >> /etc/profile
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# RUN echo 'export PATH=$PATH:/usr/local/nvidia/bin'>> /etc/profile
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# COPY kernel.json /opt/conda/share/jupyter/kernels/python3/kernel.json
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USER $NB_UID

‎datascience/Makefile‎

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APP_BIN?=app
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.PHONY: default
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default: build
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DOCKER_REPO?=gcr.io/uwit-mci-axdd/rttl-datascience-notebook
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DOCKER_TAG?=d990a62010ae
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build:
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docker build -t $(DOCKER_REPO):latest -t $(DOCKER_REPO):$(DOCKER_TAG) .
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push: build
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docker push $(DOCKER_REPO):$(DOCKER_TAG)
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docker push $(DOCKER_REPO):latest

‎r/Dockerfile‎

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ARG BASE_CONTAINER=jupyter/r-notebook:d990a62010ae
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FROM $BASE_CONTAINER
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LABEL maintainer="UW-IT AXDD <[email protected]>"
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# Base image includes:
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# texlive, git, vi, nano, tzdata, unzip
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# tidyverse, devtools, shiny, rmarkdown, forecast, rsqlite, nycflights13,
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# caret, tidymodels, rcurl, randomforest
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RUN conda install \
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r-base=4.0.2 \
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emcee \
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pymc3 \
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astroML \
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astropy \
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astroplan \
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astroquery \
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gatspy \
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pytorch \
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photutils \
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ccdproc \
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lmfit \
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uncertainties \
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pandas \
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xlrd \
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openpyxl \
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hickle \
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PyTables \
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spacy \
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textblob \
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nltk \
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gensim \
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requests \
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seaborn \
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bokeh \
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lxml \
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cssselect \
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plotnine \
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selenium \
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statsmodels \
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pylogit \
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choicemodels
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# Install Python 3 packages
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RUN pip install \
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requests-html \
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joblib \
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tqdm \
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scikit-learn \
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pyldavis \
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unidecode \
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fuzzywuzzy \
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pqdm \
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qgrid \
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biogeme \
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nbresuse==0.3.3 \
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nbgitpuller && \
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jupyter serverextension enable --py nbresuse --sys-prefix && \
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jupyter nbextension install --py nbresuse --sys-prefix && \
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jupyter nbextension enable --py nbresuse --sys-prefix && \
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jupyter serverextension enable nbgitpuller --sys-prefix
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USER root
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RUN apt-get update && apt-get install -y vim gcc openssh-client
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# RUN echo 'export LD_LIBRARY_PATH=/usr/local/nvidia/lib64' >> /etc/profile
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# RUN echo 'export PATH=$PATH:/usr/local/nvidia/bin'>> /etc/profile
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# COPY kernel.json /opt/conda/share/jupyter/kernels/python3/kernel.json
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USER $NB_UID

‎r/Makefile‎

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APP_BIN?=app
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.PHONY: default
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default: build
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DOCKER_REPO?=gcr.io/uwit-mci-axdd/rttl-r-notebook
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DOCKER_TAG?=d990a62010ae
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build:
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docker build -t $(DOCKER_REPO):latest -t $(DOCKER_REPO):$(DOCKER_TAG) .
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push: build
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docker push $(DOCKER_REPO):$(DOCKER_TAG)
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docker push $(DOCKER_REPO):latest

‎scipy/Dockerfile‎

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ARG BASE_CONTAINER=jupyter/scipy-notebook:d990a62010ae
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FROM $BASE_CONTAINER
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LABEL maintainer="UW-IT AXDD <[email protected]>"
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# Base image includes:
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# texlive, git, vi, nano, tzdata, unzip
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# dask, pandas, numexpr, matplotlib, scipy, seaborn, scikit-learn,
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# scikit-image, sympy, cython, patsy, statsmodels, cloudpickle, dill, numba,
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# bokeh, sqlalchemy, hdf5, vincent, beautifulsoup, protobuf, xlrd, bottleneck,
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# pytables, ipywidgets, ipympl, facets
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RUN conda install \
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emcee \
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pymc3 \
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astroML \
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astropy \
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astroplan \
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astroquery \
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gatspy \
21+
pytorch \
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photutils \
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ccdproc \
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lmfit \
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uncertainties \
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openpyxl \
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hickle \
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spacy \
29+
textblob \
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nltk \
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gensim \
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requests \
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lxml \
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cssselect \
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plotnine \
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plotly \
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selenium \
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pylogit \
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choicemodels
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# Install Python 3 packages
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RUN pip install \
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requests-html \
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joblib \
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tqdm \
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pyldavis \
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unidecode \
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fuzzywuzzy \
49+
pqdm \
50+
qgrid \
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biogeme \
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nbresuse==0.3.3 \
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nbgitpuller && \
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jupyter serverextension enable --py nbresuse --sys-prefix && \
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jupyter nbextension install --py nbresuse --sys-prefix && \
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jupyter nbextension enable --py nbresuse --sys-prefix && \
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jupyter serverextension enable nbgitpuller --sys-prefix
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USER root
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RUN apt-get update && apt-get install -y vim gcc openssh-client
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# RUN echo 'export LD_LIBRARY_PATH=/usr/local/nvidia/lib64' >> /etc/profile
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# RUN echo 'export PATH=$PATH:/usr/local/nvidia/bin'>> /etc/profile
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# COPY kernel.json /opt/conda/share/jupyter/kernels/python3/kernel.json
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USER $NB_UID

‎scipy/Makefile‎

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APP_BIN?=app
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.PHONY: default
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default: build
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DOCKER_REPO?=gcr.io/uwit-mci-axdd/rttl-scipy-notebook
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DOCKER_TAG?=d990a62010ae
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build:
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docker build -t $(DOCKER_REPO):latest -t $(DOCKER_REPO):$(DOCKER_TAG) .
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push: build
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docker push $(DOCKER_REPO):$(DOCKER_TAG)
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docker push $(DOCKER_REPO):latest

‎scipy/kernel.json‎

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{
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"argv": [
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"/opt/conda/bin/python",
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"-m",
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"ipykernel_launcher",
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"-f",
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"{connection_file}"
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],
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"display_name": "Python 3",
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"language": "python",
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"env": {
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"LD_LIBRARY_PATH": "/usr/local/nvidia/lib64",
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"PATH": "/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/nvidia/bin"
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}
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}

‎tensorflow/Dockerfile‎

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ARG BASE_CONTAINER=jupyter/tensorflow-notebook:d990a62010ae
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FROM $BASE_CONTAINER
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LABEL maintainer="UW-IT AXDD <[email protected]>"
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# Base image includes:
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# texlive, git, vi, nano, tzdata, unzip
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# dask, pandas, numexpr, matplotlib, scipy, seaborn, scikit-learn,
9+
# scikit-image, sympy, cython, patsy, statsmodels, cloudpickle, dill, numba,
10+
# bokeh, sqlalchemy, hdf5, vincent, beautifulsoup, protobuf, xlrd, bottleneck,
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# pytables, ipywidgets, ipympl, facets, tensorflow, keras
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RUN conda install \
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emcee \
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pymc3 \
16+
astroML \
17+
astropy \
18+
astroplan \
19+
astroquery \
20+
gatspy \
21+
pytorch \
22+
photutils \
23+
# ccdproc \
24+
lmfit \
25+
uncertainties \
26+
openpyxl \
27+
hickle \
28+
spacy \
29+
textblob \
30+
nltk \
31+
gensim \
32+
requests \
33+
lxml \
34+
cssselect \
35+
plotnine \
36+
plotly \
37+
selenium \
38+
pylogit \
39+
choicemodels
40+
41+
# Install Python 3 packages
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RUN pip install \
43+
requests-html \
44+
joblib \
45+
tqdm \
46+
pyldavis \
47+
unidecode \
48+
fuzzywuzzy \
49+
pqdm \
50+
qgrid \
51+
biogeme \
52+
nbresuse==0.3.3 \
53+
nbgitpuller && \
54+
jupyter serverextension enable --py nbresuse --sys-prefix && \
55+
jupyter nbextension install --py nbresuse --sys-prefix && \
56+
jupyter nbextension enable --py nbresuse --sys-prefix && \
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jupyter serverextension enable nbgitpuller --sys-prefix
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59+
USER root
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RUN apt-get update && apt-get install -y openssh-client
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USER $NB_UID

‎tensorflow/Makefile‎

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APP_BIN?=app
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.PHONY: default
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default: build
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DOCKER_REPO?=gcr.io/uwit-mci-axdd/rttl-tensorflow-notebook
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DOCKER_TAG?=d990a62010ae
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build:
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docker build -t $(DOCKER_REPO):latest -t $(DOCKER_REPO):$(DOCKER_TAG) .
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push: build
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docker push $(DOCKER_REPO):$(DOCKER_TAG)
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docker push $(DOCKER_REPO):latest

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