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instructions for tutorial; adding environment file
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‎tutorial/README.md‎

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# HPAT_tutorial
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To get the full experience you need to setup your python envorinment as follows:
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* conda create -n hpatidp -c intel python=3.6 tbb-devel numpy pandas scipy cython jinja2 daal daal-include impi-devel
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* conda activate hpatidp # or source activate idp
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* conda install jupyter notebook matplotlib boost cmake pyarrow gcc_linux-64 gxx_linux-64 gfortran_linux-64
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* conda install -c numba/label/dev -c intel llvmlite
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* git clone https://github.com/numba/numba
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* pushd numba && python setup.py install && popd
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* git clone https://github.com/IntelLabs/hpat
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* pushd hpat && python setup.py install && popd
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* git clone https://github.com/IntelPython/daal4py hpat
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* pushd daal4py && python setup.py install && popd
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Now you can use the notebook!
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* jupyter notbook
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## Setting up your environment
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This HPAT tutorial makes use of hpat (latest), numpy, pandas, daal4py (latest) and their dependences.
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The easiest and most reliable way is to create a python environment is through using the provided environment configuration:
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`conda env create -f environment.yml`
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Then activate the environment
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`conda activate hpattut`
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and you are ready to start the tutorial!
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## The Tutorial
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The main material is provided as juypter notebooks. To get started simply type
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`jupyter notebook`
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The main HPAT tutorial is in the notebook `hpat.ipynb`.
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An example of an advanced analytics code is provided in `intraday_mean.py`.
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A more complete notebook about using daal4py with HPAT can be found in ` daal4py_data_science.ipynb`.

‎tutorial/environment.yml‎

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name: hpattut
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channels:
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- numba/label/dev
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- ehsantn
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- intel
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- conda-forge
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- defaults
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dependencies:
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- arrow-cpp=0.11.1=py36h3bd774a_0
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- attrs=19.1.0=py36_1
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- backcall=0.1.0=py36_0
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- bleach=3.1.0=py36_0
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- boost=1.68.0=py36h8619c78_1001
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- boost-cpp=1.68.0=h11c811c_1000
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- bzip2=1.0.6=17
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- ca-certificates=2019.1.23=0
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- certifi=2019.3.9=py36_0
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- cycler=0.10.0=py36_7
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- daal=2019.3=intel_199
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- daal4py=0.2019.2=py36hf484d3e_1
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- dbus=1.13.6=h746ee38_0
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- decorator=4.4.0=py36_1
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- defusedxml=0.5.0=py36_1
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- entrypoints=0.3=py36_0
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- expat=2.2.6=he6710b0_0
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- fontconfig=2.13.0=h9420a91_0
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- freetype=2.9.1=h8a8886c_1
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- glib=2.56.2=hd408876_0
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- gmp=6.1.2=h6c8ec71_1
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- gst-plugins-base=1.14.0=hbbd80ab_1
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- gstreamer=1.14.0=hb453b48_1
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- hpat=0.29=py36hf484d3e_2
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- icu=58.2=hf484d3e_1000
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- intel-openmp=2019.3=intel_199
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- intelpython=2019.3=0
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- ipykernel=5.1.0=py36h39e3cac_0
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- ipython=7.4.0=py36h39e3cac_0
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- ipython_genutils=0.2.0=py36_0
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- ipywidgets=7.4.2=py36_0
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- jedi=0.13.3=py36_0
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- jinja2=2.10=py36_0
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- jpeg=9b=h024ee3a_2
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- jsonschema=3.0.1=py36_0
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- jupyter=1.0.0=py36_7
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- jupyter_client=5.2.4=py36_0
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- jupyter_console=6.0.0=py36_0
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- jupyter_core=4.4.0=py36_0
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- kiwisolver=1.0.1=py36_2
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- libblas=3.8.0=4_openblas
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- libcblas=3.8.0=4_openblas
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- libffi=3.2.1=hd88cf55_4
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- libgcc-ng=8.2.0=hdf63c60_1
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- libgfortran=3.0.0=1
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- libpng=1.6.36=2
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- libsodium=1.0.16=h1bed415_0
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- libstdcxx-ng=8.2.0=hdf63c60_1
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- libuuid=1.0.3=h1bed415_2
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- libxcb=1.13=h1bed415_1
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- libxml2=2.9.9=he19cac6_0
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- llvmlite=0.29.0dev0=py36hf484d3e_4
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- markupsafe=1.1.1=py36h7b6447c_0
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- matplotlib=3.0.1=py36_1
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- mistune=0.8.4=py36h7b6447c_0
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- mkl=2019.3=intel_199
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- mpi=1.0=mpich
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- mpich=3.2.1=h26a2512_7
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- nbconvert=5.4.1=py36_3
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- nbformat=4.4.0=py36_0
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- notebook=5.7.8=py36_0
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- numba=0.44.0dev0=np116py36hf484d3e_129
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- numexpr=2.6.8=py36_2
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- numpy=1.16.2=py36h7fc5cc3_0
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- openblas=0.3.5=ha44fe06_0
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- openssl=1.0.2r=h7b6447c_0
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- pandas=0.24.1=py36_3
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- pandoc=2.2.3.2=0
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- pandocfilters=1.4.2=py36_1
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- parquet-cpp=1.5.1=3
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- parso=0.3.4=py36_0
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- pcre=8.43=he6710b0_0
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- pexpect=4.6.0=py36_0
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- pickleshare=0.7.5=py36_0
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- pip=10.0.1=py36_0
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- prometheus_client=0.6.0=py36_0
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- prompt_toolkit=2.0.9=py36_0
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- ptyprocess=0.6.0=py36_0
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- pyarrow=0.11.1=py36hbbcf98d_1002
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- pygments=2.3.1=py36_0
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- pyparsing=2.2.0=py36_2
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- pyqt=5.9.2=py36h05f1152_2
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- pyrsistent=0.14.11=py36h7b6447c_0
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- python=3.6.8=6
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- python-dateutil=2.6.0=py36_12
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- pytz=2018.4=py36_3
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- pyzmq=18.0.0=py36he6710b0_0
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- qt=5.9.6=h8703b6f_2
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- qtconsole=4.4.3=py36_0
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- send2trash=1.5.0=py36_0
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- setuptools=39.0.1=py36_0
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- sip=4.19.8=py36hf484d3e_0
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- six=1.11.0=py36_3
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- sqlite=3.27.2=2
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- tbb=2019.4=intel_199
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- tcl=8.6.4=22
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- terminado=0.8.1=py36_1
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- testpath=0.4.2=py36_0
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- tk=8.6.4=28
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- tornado=6.0.2=py36h7b6447c_0
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- traitlets=4.3.2=py36_0
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- wcwidth=0.1.7=py36_0
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- webencodings=0.5.1=py36_1
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- wheel=0.31.0=py36_3
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- widgetsnbextension=3.4.2=py36_0
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- xz=5.2.4=h14c3975_1001
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- zeromq=4.3.1=he6710b0_3
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- zlib=1.2.11=5

‎tutorial/hpat.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.2"
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"version": "3.6.8"
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}
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},
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"nbformat": 4,

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