Merge pull request #11 from ICESAT-2HackWeek/paolo-notebooks-v2

Fspaolo notebooks using S3

Author: dshean

.gitignore

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+**/data
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

04_HDF5AndICESat2Data_Paolo/README.md

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+Intro to HDF5 and ICESat-2 Data Files
+-------------------------------------
+
+Instructor: Fernando Paolo (paolofer@jpl.nasa.gov)  
+Institution: JPL/Caltech
+
+## Tutorials:  
+
+Part 1: Introduction to HDF5 data model  
+Part 2: Reduction of ICESat-2 data files  
+
+## Goals:  
+
+- Familiarize with HDF5 data model  
+- Familiarize with HDF5 basic tools  
+- Select IS2 files according region of interest  
+- Extract variables of interest and filter in time and space  
+- Prepare data for large-scale processing  
+- Learn simple/generic data parallelization strategy  
+- Inspect data files with plots (Histog, Maps, Time Series)  
+
+## Libraries:    
+
+- h5py (HDF5 handling)   
+- numpy (numeric routines)  
+- scipy (scientific routines)  
+- astropy (extra scientific routines)
+- pyproj (map projection routines)   
+- joblib (shared-memory parallelization)  
+- matplotlib (visualization routines)  
+- glob (pathname pattern expansion)  
+- getpass (password management)
+- argparse (arguments parsing)  
+
+## Credits
+
+*The algorithms used in this tutorial are downscaled versions of a Python altimetry package, currently being devloped at JPL/Caltech. This package provides a range of algorithms for common tasks in altimetry data processing. It will soon become avalibale on GitHub as the `captoolkit` for public usage.*