Merge pull request ESIPFed#3 from amanda-tan/master

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amanda-tan · Apr 1, 2021 · 1a81a47 · 1a81a47
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diff --git a/intotocloud.ipynb → ...points/01_intro_to_cloud-checkpoint.ipynb b/intotocloud.ipynb → ...points/01_intro_to_cloud-checkpoint.ipynb
@@ -1,22 +1,22 @@
 {
  "cells": [
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "raw",
    "metadata": {},
-   "outputs": [],
    "source": [
     "#Introduction to Cloud Computing\n",
     "#-- Systems administration (user roles, tagging, cost management), cloud best practices\n",
-    "#-- Data storage, getting data in and out of the cloud"
+    "#-- Data storage, getting data in and out of the cloud\n",
+    "##Overview\n",
+    "Here you will learn briefly about cloud computing best practices, why you would utilize cloud computing for big data and "
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:notebook] *",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-notebook-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -28,7 +28,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,

diff --git a/Opendatasets.ipynb → ...ints/02_aws_opendatasets-checkpoint.ipynb b/Opendatasets.ipynb → ...ints/02_aws_opendatasets-checkpoint.ipynb
@@ -400,7 +400,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,

diff --git a/x-array.ipynb → ...nts/03_multidim_analysis-checkpoint.ipynb b/x-array.ipynb → ...nts/03_multidim_analysis-checkpoint.ipynb
@@ -4,14 +4,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Introduction to Xarray\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We discuss here the basic utility of Xarray here."
+    "## Multi-dimensional Analysis with xarray\n",
+    "\n",
+    "### Questions\n",
+    "- How do I work with multidimensional data like NetCDF files? \n",
+    "\n",
+    "### Objectives\n",
+    "- Learn how xarray can change your life"
    ]
   },
   {
@@ -750,7 +749,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
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diff --git a/Dask.ipynb → ...ts/04_parallel_computing-checkpoint.ipynb b/Dask.ipynb → ...ts/04_parallel_computing-checkpoint.ipynb
@@ -4,7 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We create a Dask client"
+    "## Parallel Computing with Dask\n",
+    "### Questions\n",
+    "- How do I start working with larger datase\n",
+    "### Objectives\n",
+    "- Introduce the concept of Dask, a free and open-source library for parallel computing in Python"
    ]
   },
   {
@@ -285,7 +289,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
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diff --git a/Visualize.ipynb → ...ts/05_data_visualization-checkpoint.ipynb b/Visualize.ipynb → ...ts/05_data_visualization-checkpoint.ipynb
@@ -4,6 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "## Data Visualization\n",
+    "\n",
+    "### Questions\n",
+    "- How do I visualize re\n",
+    "### Objectives\n",
+    "\n",
     "Here we explore the same dataset that we used , but now read all the bands and try to visualize thru HoloViews"
    ]
   },
@@ -2708,7 +2714,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
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diff --git a/Scale-up.ipynb → ...ints/06_scalingup_pangeo-checkpoint.ipynb b/Scale-up.ipynb → ...ints/06_scalingup_pangeo-checkpoint.ipynb
@@ -903,7 +903,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
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  "nbformat": 4,

diff --git a/.ipynb_checkpoints/README-checkpoint.md b/.ipynb_checkpoints/README-checkpoint.md
@@ -0,0 +1,67 @@
+<!-- #region -->
+# Open Science Education
+
+[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/ESIPFed/open-data-education/master?urlpath=lab)
+[![Build Status](https://travis-ci.org/dask/dask-examples.svg?branch=master)](https://travis-ci.org/ESIPFed/open-data-education)
+
+## Introduction
+
+The goal of this tutorial is to introduce users to working with NASA satellite imagery and utilizing Amazon Web Services' Open Data program. Through a series of modules, the user will develop an end-to-end workflow for working with satellite imagery, learn about geoscientific Python tools, and utilize a parallel computation platform on the cloud (i.e. the Pangeo Platform). 
+
+## Description
+
+The contents of this repository consists of a series of Jupyter Notebooks and can be viewed on an open source, free computational platform like Binder. To view the contents of this repo, click the launch binder icon above. 
+
+
+## Installation notes
+
+**Follow the workshop with just your browser?**   
+You can use the "launch binder" link above at the top of this README, which will launch a notebook instance on Binder with all required libraries installed.
+
+:
+
+```
+
+```
+<!-- #endregion -->
+
+## Downloading the tutorial materials
+
+**Note**: *This repository is actively being developed as a tutorial, so we will be updating the materials without notifications. To update your local copy, you can download the latest version again, or do a `git pull` if you are using git.*
+
+If you have git installed, you can always get the tutorial materials by cloning this repo:
+
+```
+git clone https://github.com/ESIPFed/open-data-education.git
+```
+
+Also, you can download the repository as a .zip file by heading over to the GitHub repository (https://github.com/ESIPFed/open-data-education.git) in
+your browser and click the green "Download" button in the upper right:
+
+
+## Running the tutorial 
+
+**Note**: *As it is to be run on public infrastructure, you can use Binder script at the root folder.*
+
+## Tutorial index 
+
+|Name |Description|link|
+|-----|-----------|----|
+|Introduction to Cloud|Details on cloud technologies       |[Tutorial 1](/intotocloud.ipynb)  |
+|Open datasets  |Publically availiable datasets     | [Tutorial 2](/Opendatasets.ipynb)  |
+|Xarray |Introduction to Xarray    | [Tutorial 3](/x-array.ipynb)  |
+|Dask |Introduction to Dask    | [Tutorial 4](/Dask.ipynb)  |
+|Visualization |Introduction to HoloViews    | [Tutorial 5](/Visualize.ipynb)  |
+|Scaling-up |Using Dask to process imagery to calculate NDVI via DASK    | [Tutorial 6](/Scale-up.ipynb)  |
+
+## Issues
+
+**Feedback/new tutotrial**   
+You can request new content or give general feedback through Gitub issues as well. Additionally, feel free to send us a pull request.
+
+**Notebook related**   
+You can log issues using the GitHub ticketing, and we will address it at our earliest
+
+## Authors
+
+Aji John and Amanda Tan at University of Washington .
diff --git a/introduction.ipynb → ...checkpoints/Raster_Tools-checkpoint.ipynb b/introduction.ipynb → ...checkpoints/Raster_Tools-checkpoint.ipynb
@@ -4,7 +4,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Introduction to Basic Python Tools for Collaborative, Reproducible and Open Science"
+    "## Basic Python Tools for Collaborative, Reproducible and Open Science\n",
+    "\n",
+    "### Questions\n",
+    "What are some of the tools used for collab\n"
    ]
   },
   {
@@ -126,9 +129,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:notebook] *",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-notebook-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -140,7 +143,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,

diff --git a/01_intro_to_cloud.ipynb b/01_intro_to_cloud.ipynb
@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Introduction to Cloud Computing\n",
+    "### Questions \n",
+    "What is cloud computing and why would I use it? \n",
+    "\n",
+    "### Objectives \n",
+    "- Understand big data on the cloud\n",
+    "- Understand what kinds of NASA data are available on the cloud"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}