We are given [a set of Python demo notebooks on Github](https://github.com/Sage-Bionetworks/nf-hackathon-2019/tree/master/py_demos), and a Docker config to run these (Docker instructions are [towards bottom of Github main page](https://github.com/Sage-Bionetworks/nf-hackathon-2019). In case you want to try running the notebooks outside of Docker on a Windows PC, here is a Conda export list for Windows: ``` # This file may be used to create an environment using: # $ conda create --name --file # platform: win-64 _r-mutex=1.0.0=mro_2 _tflow_select=2.1.0=gpu absl-py=0.7.0=py37_0 adjusttext=0.7.3.1=py_0 alabaster=0.7.12=py_0 appdirs=1.4.3=py_1 arrow=0.13.1=pypi_0 arrow-cpp=0.11.1=py37_vc14h261ab4c_1000 asn1crypto=0.24.0=py37_0 astor=0.7.1=py37_0 atomicwrites=1.3.0=pypi_0 attrs=19.1.0=py37_1 audioread=2.1.6=pypi_0 auditok=0.1.8=pypi_0 babel=2.7.0=py_0 backcall=0.1.0=py37_0 backports=1.0=py_2 backports.csv=1.0.5=py_1 bcrypt=3.1.6=py37he774522_0 binaryornot=0.4.4=pypi_0 blas=1.0=mkl bleach=3.1.0=py37_0 bokeh=1.0.4=py37_0 boost=1.68.0=py37hf75dd32_1001 boost-cpp=1.68.0=h6a4c333_1000 boto=2.49.0=py37_0 boto3=1.9.134=py_0 botocore=1.12.134=py_0 bottleneck=1.2.1=py37h452e1ab_1 bz2file=0.98=py37_1 ca-certificates=2019.6.16=hecc5488_0 cachetools=3.1.0=pypi_0 certifi=2019.6.16=py37_1 cffi=1.12.2=py37h7a1dbc1_1 chardet=3.0.4=pypi_0 click=7.0=py37_0 cliff=2.14.1=pypi_0 cloudpickle=0.8.1=py_0 cmd2=0.9.11=pypi_0 colorama=0.4.1=py37_0 colorlog=4.0.2=pypi_0 configargparse=0.14.0=py37_0 cookiecutter=1.6.0=pypi_0 cryptography=2.6.1=py37h7a1dbc1_0 cudatoolkit=10.0.130=0 cupy-cuda101=6.0.0=pypi_0 curses=2.2.1+utf8=pypi_0 cycler=0.10.0=py37_0 cymem=2.0.2=py37h74a9793_0 cython=0.29.6=py37ha925a31_0 cython-blis=0.2.4=py37hfa6e2cd_0 cytoolz=0.9.0.1=py37hfa6e2cd_1001 dask-core=1.2.2=py_0 dateparser=0.7.1=pypi_0 decorator=4.4.0=py37_1 defusedxml=0.5.0=py37_1 deprecated=1.2.4=pypi_0 dfply=0.3.3=pypi_0 dill=0.3.0=py37_0 django=2.2=py37_0 dlib=19.17.0=pypi_0 docutils=0.14=py37_0 doit=0.31.1=py37_0 eigen=3.3.7=he980bc4_1000 en-core-web-lg=2.1.0=pypi_0 en-core-web-sm=2.1.0=pypi_0 entrypoints=0.3=py37_0 eyed3=0.8.10=pypi_0 fastrlock=0.4=pypi_0 feather-format=0.4.0=py_1003 filelock=3.0.10=pypi_0 flask=1.0.2=py37_1 flask-breadcrumbs=0.4.0=pypi_0 flask-menu=0.7.0=pypi_0 flask-sqlalchemy=2.3.2=pypi_0 fred=3.1=pypi_0 freetype=2.9.1=ha9979f8_1 future=0.17.1=pypi_0 futures=3.2.0=pypi_0 gast=0.2.2=py37_0 gensim=3.4.0=py37hfa6e2cd_0 gflags=2.2.2=he025d50_1001 glog=0.3.5=h6538335_1 glpk=4.65=hdc00fd2_2 grpcio=1.16.1=py37h351948d_1 h5py=2.9.0=py37h5e291fa_0 hdbscan=0.8.22=py37h452e1ab_1 hdf5=1.10.4=h7ebc959_0 hmmlearn=0.2.1=py37h452e1ab_1000 icc_rt=2019.0.0=h0cc432a_1 icu=58.2=ha66f8fd_1 idna=2.8=pypi_0 imageio=2.5.0=pypi_0 imagesize=1.1.0=py_0 imutils=0.5.2=pypi_0 inaspeechsegmenter=0.1.0=pypi_0 inflection=0.3.1=py37_1 intel-openmp=2019.1=144 ipy-table=1.15.1=pypi_0 ipykernel=5.1.0=py37h39e3cac_0 ipyparallel=6.2.4=py37_0 ipython=7.4.0=py37h39e3cac_0 ipython_genutils=0.2.0=py37_0 ipywidgets=7.4.2=py37_0 iso8601=0.1.12=py37_1 itsdangerous=1.1.0=py37_0 jedi=0.13.3=py37_0 jinja2=2.10=py37_0 jinja2-time=0.2.0=pypi_0 jmespath=0.9.4=py_0 joblib=0.13.2=pypi_0 jpeg=9c=hfa6e2cd_1001 jsonpickle=1.2=py_0 jsonschema=3.0.0a3=py37_1000 jupyter=1.0.0=py37_7 jupyter_client=5.2.4=py37_0 jupyter_console=6.0.0=py37_0 jupyter_core=4.4.0=py37_0 keras=2.2.4=pypi_0 keras-applications=1.0.7=pypi_0 keras-preprocessing=1.0.9=pypi_0 keyring=12.0.2=pypi_0 kiwisolver=1.0.1=py37h6538335_0 latexcodec=1.0.7=py_0 libblas=3.8.0=8_mkl libcblas=3.8.0=8_mkl liblapack=3.8.0=8_mkl liblapacke=3.8.0=8_mkl libmagic=1.0=pypi_0 libmklml=2019.0.3=0 libpng=1.6.36=h2a8f88b_0 libprotobuf=3.7.0=h1a1b453_1 librosa=0.6.3=pypi_0 libsodium=1.0.16=h9d3ae62_0 libsvm=3.23=pypi_0 libtiff=4.0.10=hb898794_2 libwebp=1.0.2=hfa6e2cd_2 llvmlite=0.28.0=pypi_0 m2w64-gcc-libgfortran=5.3.0=6 m2w64-gcc-libs=5.3.0=7 m2w64-gcc-libs-core=5.3.0=7 m2w64-gmp=6.1.0=2 m2w64-libwinpthread-git=5.0.0.4634.697f757=2 markdown=3.0.1=py37_0 markupsafe=1.1.1=py37he774522_0 matplotlib=3.0.3=py37hc8f65d3_0 matplotlib-base=3.1.0=py37h2852a4a_1 mesa=0.8.6=pypi_0 mistune=0.8.4=py37he774522_0 mkl=2019.1=144 mkl_fft=1.0.10=py37h14836fe_0 mkl_random=1.0.2=py37h343c172_0 mock=2.0.0=pypi_0 more-itertools=7.0.0=pypi_0 mpi4py=3.0.1=pypi_0 mpmath=1.1.0=pypi_0 mro-base=3.5.1=3 mro-base_impl=3.5.1=0 msys2-conda-epoch=20160418=1 munkres=1.1.2=pypi_0 murmurhash=1.0.0=py37h6538335_0 mutagen=1.42.0=pypi_0 nbconvert=5.4.1=py37_3 nbformat=4.4.0=py37_0 networkx=2.3rc1=pypi_0 ninja=1.8.2=py37he980bc4_1 nlopt=2.6.1=py37hfafe4ec_0 nltk=3.4.1=py37_0 noisereduce=1.0.1=pypi_0 nose=1.3.7=pypi_0 notebook=5.7.7=py37_0 numba=0.43.1=pypi_0 numpy=1.16.2=py37h19fb1c0_0 numpy-base=1.16.2=py37hc3f5095_0 olefile=0.46=py37_0 opencv-python=4.1.0=pypi_0 opennmt-py=0.9.1=pypi_0 openssl=1.1.1c=hfa6e2cd_0 optuna=0.9.0=pypi_0 oset=0.1.3=py_1 packaging=19.0=py37_0 pagmo=2.10=h893c9df_1001 pandas=0.25.1=py37he350917_0 pandoc=2.2.3.2=0 pandocfilters=1.4.2=py37_1 paramiko=2.4.2=py37_0 parquet-cpp=1.5.1=3 parso=0.3.4=py37_0 patsy=0.5.1=py_0 pause=0.2=pypi_0 pbr=5.1.3=py_0 pdfminer3k=1.3.1=pypi_0 phantomjs=2.1.1=1 pickleshare=0.7.5=py37_0 pillow=5.4.1=py37hdc69c19_0 pip=19.0.3=py37_0 plac=0.9.6=py_1 playsound=1.2.2=pypi_0 pluggy=0.11.0=pypi_0 ply=3.11=pypi_0 polyglot=16.7.4=pypi_0 portaudio=19.6.0=hfa6e2cd_3 poyo=0.4.2=pypi_0 praat-parselmouth=0.3.2=pypi_0 preshed=2.0.1=py37h33f27b4_0 prometheus_client=0.6.0=py37_0 prompt_toolkit=2.0.9=py37_0 protobuf=3.7.0=py37he025d50_0 py=1.8.0=pypi_0 pyannote-algorithms=0.8=pypi_0 pyannote-core=2.1=pypi_0 pyannote-database=2.0=pypi_0 pyannote-generators=2.0=pypi_0 pyannote-metrics=2.0.1=pypi_0 pyannote-parser=0.7.1=pypi_0 pyannote-pipeline=1.1=pypi_0 pyarrow=0.11.1=py37h8c67754_1001 pyasn1=0.4.5=py_0 pyaudio=0.2.11=py37hfa6e2cd_1 pyaudioanalysis=0.2.5=pypi_0 pybtex=0.22.2=py37_0 pybtex-docutils=0.2.1=py37_1000 pycld2=0.31=pypi_0 pycparser=2.19=py37_0 pydub=0.23.1=py_0 pyemd=0.5.1=py37hf75dd32_0 pygments=2.3.1=py37_0 pygmo=2.10=py37hd014587_1002 pyicu=2.3=pypi_0 pyloudnorm=0.0.1=pypi_0 pynacl=1.3.0=py37h62dcd97_0 pynormalize=0.1.4=pypi_0 pyodbc=4.0.26=py37h6538335_0 pyomo=5.6.4=py37_0 pyopenssl=19.0.0=py37_0 pyparsing=2.3.1=py37_0 pyqt=5.9.2=py37h6538335_2 pyreadline=2.1=py37_1 pyreadr=0.2.1=py37h7602738_0 pyrsistent=0.14.11=py37he774522_0 pysocks=1.6.8=py37_0 pysoundfile=0.9.0.post1=pypi_0 pytest=4.5.0=pypi_0 python=3.7.2=h8c8aaf0_10 python-dateutil=2.8.0=py37_0 python-levenshtein=0.12.0=py37hfa6e2cd_1001 python-magic=0.4.15=pypi_0 python-magic-bin=0.4.14=pypi_0 pytorch=1.1.0=py3.7_cuda100_cudnn7_1 pytz=2018.9=py37_0 pyutilib=5.7.0=py37_1 pywavelets=1.0.2=pypi_0 pywin32=223=py37hfa6e2cd_1 pywin32-ctypes=0.2.0=pypi_0 pywinpty=0.5.5=py37_1000 pyyaml=5.1=pypi_0 pyzmq=18.0.0=py37ha925a31_0 qt=5.9.7=vc14h73c81de_0 qtconsole=4.4.3=py37_0 quandl=3.4.6=py37_0 r-assertthat=0.2.0=mro351_0 r-bh=1.66.0_1=mro351hf348343_0 r-bindr=0.1.1=mro351_0 r-bindrcpp=0.2.2=mro351_0 r-bit=1.1_14=mro351_0 r-bit64=0.9_7=mro351_0 r-blob=1.1.1=mro351_0 r-cli=1.0.0=mro351_0 r-crayon=1.3.4=mro351_0 r-dbi=1.0.0=mro351hf348343_0 r-dbplyr=1.2.2=mro351_0 r-digest=0.6.15=mro351_0 r-dplyr=0.7.6=mro351_0 r-fansi=0.2.3=mro351_0 r-glue=1.3.0=mro351_0 r-magrittr=1.5=mro351_0 r-memoise=1.1.0=mro351_0 r-pillar=1.3.0=mro351_0 r-pkgconfig=2.0.1=mro351_0 r-plogr=0.2.0=mro351_0 r-prettyunits=1.0.2=mro351_0 r-purrr=0.2.5=mro351_0 r-r6=2.2.2=mro351hf348343_0 r-rcpp=0.12.18=mro351hf348343_0 r-revoutils=11.0.0=mro351_0 r-revoutilsmath=11.0.0=mro351_0 r-rlang=0.2.1=mro351_0 r-rsqlite=2.1.1=mro351hf348343_0 r-tibble=1.4.2=mro351_0 r-tidyselect=0.2.4=mro351_0 r-utf8=1.1.4=mro351_0 regex=2019.04.14=pypi_0 requests=2.21.0=py37_0 resampy=0.2.1=pypi_0 rpy2=2.9.4=pypi_0 s3transfer=0.2.0=py37_0 s4d=0.0.3=pypi_0 scikit-commpy=0.3.0=pypi_0 scikit-image=0.15.0=pypi_0 scikit-learn=0.20.2=py37h343c172_0 scipy=1.2.1=py37h29ff71c_0 seaborn=0.9.0=py_1 selenium=3.141.0=py37he774522_0 send2trash=1.5.0=py37_0 setuptools=40.8.0=py37_0 sidekit=1.3.2=pypi_0 simplegeneric=0.8.1=pypi_0 simplejson=3.16.0=pypi_0 sip=4.19.8=py37h6538335_0 six=1.12.0=py37_0 slate3k=0.5.3=pypi_0 smart_open=1.8.2=py_0 snappy=1.1.7=h6538335_1002 snowballstemmer=1.9.0=py_0 sortedcollections=1.1.2=pypi_0 sortedcontainers=2.1.0=pypi_0 soundfile=0.10.2=pypi_0 sox=1.3.7=pypi_0 spacy=2.1.4=py37he980bc4_0 sphfile=1.0.1=pypi_0 sphinx=2.1.2=py_0 sphinxcontrib=1.0=py37_1 sphinxcontrib-applehelp=1.0.1=py_0 sphinxcontrib-bibtex=0.4.2=py_0 sphinxcontrib-devhelp=1.0.1=py_0 sphinxcontrib-fulltoc=1.2.0=py_0 sphinxcontrib-htmlhelp=1.0.2=py_0 sphinxcontrib-jsmath=1.0.1=py_0 sphinxcontrib-qthelp=1.0.2=py_0 sphinxcontrib-serializinghtml=1.1.1=py_0 sphinxcontrib-sqltable=2.0.0=pypi_0 sqlalchemy=1.3.1=pypi_0 sqlite=3.26.0=he774522_0 srsly=0.0.6=py37h6538335_0 statsmodels=0.9.0=py37hfa6e2cd_1000 stevedore=1.30.1=pypi_0 sympy=1.3=pypi_0 synapseclient=1.9.3=pypi_0 tensorboard=1.13.1=py37h33f27b4_0 tensorboardx=1.6=py_0 tensorflow-estimator=1.13.0=py_0 termcolor=1.1.0=py37_1 terminado=0.8.1=py37_1 testpath=0.4.2=py37_0 thinc=7.0.4=py37he980bc4_0 tk=8.6.8=hfa6e2cd_0 toolz=0.9.0=py_1 torchvision=0.2.2.post3=pypi_0 tornado=6.0.2=py37he774522_0 tqdm=4.31.1=py37_1 traitlets=4.3.2=py37_0 typing=3.6.6=pypi_0 tzlocal=1.5.1=pypi_0 umap-learn=0.3.10=py37_0 urllib3=1.24.1=pypi_0 vc=14.1=h21ff451_3 vs2015_runtime=15.5.2=3 wasabi=0.2.2=py_0 wcwidth=0.1.7=py37_0 webencodings=0.5.1=py37_1 werkzeug=0.14.1=py37_0 wheel=0.33.1=py37_0 whichcraft=0.5.2=pypi_0 widgetsnbextension=3.4.2=py37_0 win_inet_pton=1.1.0=py37_0 wincertstore=0.2=py37_0 windows-curses=2.0=pypi_0 winpty=0.4.3=4 wrapt=1.11.2=pypi_0 xarray=0.12.0=pypi_0 xlrd=1.2.0=py37_0 xmljson=0.2.0=pypi_0 xz=5.2.4=h2fa13f4_4 yaml=0.1.7=hc54c509_2 zeromq=4.3.1=h33f27b4_3 zlib=1.2.11=h62dcd97_3 zstd=1.3.7=h508b16e_0 ```