#!/usr/bin/env python
# coding: utf-8

# # <span class="hgviolet">Welcome to the AMS Short Course on Open Source Radar Software</span>

# Stuff

# 
# - Scott Collis, Argonne National Laboratory
# - Jonathan Helmus, Argonne National Laboratory
# - Nick Guy, University of Wyoming
# - Timothy Lang, NASA Marshall Space Flight Center 
# - Joseph Hardin, Pacific Northwest National Laboratory
# - Marcus van Lier-Walqui, NASA Goddard Institute of Space Studies
# 
# <div>
#     <img class="logo" src="./images/python-logo.png" height="100" width="250" align="left"/>
#     <img class="logo" src="./images/arm_logo.png" height="100" width="250" align="right"/>
# </div>
# <img class="logo" src="./images/ams.jpg" height="150" align='center'/>
# 

# #What Is Open Source?
# 

# ###"Free software is a matter of liberty, not price. To understand the concept, you should think of free as in free speech, not as in free beer."
#   #####—Richard Stallman
# <img src='./images/freebeer.png'> 
# ######<h5><a href="https://commons.wikimedia.org/wiki/File:Isummit_2008,_Japan,_free_beer_crop.png#/media/File:Isummit_2008,_Japan,_free_beer_crop.png">Isummit 2008, Japan, free beer crop</a>" by shaddim - <a class="external free" href="https://commons.wikimedia.org/wiki/File:Isummit_2008,_Japan,_free_beer.jpg">https://commons.wikimedia.org/wiki/File:Isummit_2008,_Japan,_free_beer.jpg</a>. Licensed under <a title="Creative Commons Attribution-Share Alike 2.5" href="http://creativecommons.org/licenses/by-sa/2.5">CC BY-SA 2.5</a> via <a href="https://commons.wikimedia.org/wiki/">Commons</a></h5>

# #Course Objectives 

# - To give a familiarity with Python and the Scientific Python ecosystem and IPython and project Jupyter

# - To introduce the Python ARM Radar Toolkit and reveal the data model used

# - To show how to plot a variety of different radar data with Py-ART

# - Demonstrate how to add a field so you can do processing on your own data

# - Introduce you to several tools in Py-ART including texture retrieval, dealiasing and gridding

# #Course objectives
# - Introduce you to ART-View

# - Introduce you to an array of tools built on and independant of Py-ART for working with radar data

# 8:30 a.m.	ARRIVAL AND INTRODUCTIONS AND INSTALLATION OF SOFTWARE AND DATA. Collis and Helmus
# <br>9:15 a.m.	AN INTRODUCTION TO PYTHON AND IPYTHON Jonathan Helmus	 
# 9:30 a.m.	BASIC PY-ART AND THE PY-ART DATA MODEL Jonathan Helmus
# <br>10:00 a.m.	COFFEE BREAK 

# 10:15 a.m.	BASIC PY-ART AND THE PY-ART DATA MODEL (CONT) Jonathan Helmus
# <br>11:30 a.m.	EXAMPLES OF RADAR PROCESSING USING PY-ART Scott Collis
# <br>12:00 a.m.	LUNCH (included)

# 1:30 p.m.	EXAMPLES OF RADAR PROCESSING USING PY-ART (CONT) Scott Collis
# <br>2:00 p.m.	Py-ART TOOLS, TEXTURE, DEALIAS AND GRID Scott Collis
# <br>2:30 p.m.	PYTHON TOOLS 1: ART-VIEW Nick Guy.
# <br>3:00 p.m	COFFEE BREAK

# 3:30 p.m.	PYTHON TOOLS 2: RADAR MET TOOLS. Tim Lang
# <br>4:15 p.m.	WRAP UP AND FUTHER DISCUSSION. ALL
# <br>5:00 p.m.	Adjourn. 

# #This is a living course

# - Data is at: <a href="http://figshare.com/articles/Data_for_AMS_Short_Course_on_Open_Source_Radar_Software/1537461"> This figshare repository</a>
# 

# - Materials live <a href="https://github.com/openradar/AMS-Short-Course-on-Open-Source-Radar-Software">This GitHub Repository</a>

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