Merge pull request #81 from fschlimb/tutorial

tutorial

Author: Ehsan Totoni

tutorial/README.md

@@ -0,0 +1,25 @@
+# HPAT_tutorial
+
+## Setting up your environment
+This HPAT tutorial makes use of hpat (latest), numpy, pandas, daal4py (latest) and their dependences.
+
+The easiest and most reliable way is to create a python environment using conda:
+
+* Linux: `conda create -n hpattut -c ehsantn -c numba/label/dev -c defaults -c intel -c conda-forge hpat daal4py pandas=0.23 blas=*=mkl jupyter notebook`
+* Windows: `conda create -n hpattut -c ehsantn -c numba/label/dev -c defaults -c intel hpat daal4py pandas=0.23 blas=*=mkl jupyter notebook`
+
+Then activate the environment
+
+`conda activate hpattut`
+
+and you are ready to start the tutorial!
+
+## The Tutorial
+
+The main material is provided as juypter notebooks. To get started simply type
+
+`jupyter notebook`
+
+The main HPAT tutorial is in the notebook `hpat.ipynb`.
+An example of an advanced analytics code is provided in `intraday_mean.py`.
+A more complete notebook about using daal4py with HPAT can be found in `	daal4py_data_science.ipynb`.