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airflow

Apache Airflow

algorithms

Minimal examples of data structures and algorithms in Python

awesome-geojson

GeoJSON utilities that will make your life easier.

aws_scripts

Repository of useful scripts and instructions for using AWS

barleybrain-crop-yield-forecast

Program to forecast Barley crop yields in the North Western United States

crop_yield_prediction

Crop Yield Prediction with Deep Learning

crossfilter

Fast n-dimensional filtering and grouping of records.

darksky_bb

module for automated pull of dark sky data

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

deploy-django

A bash script to deploy a django project for production sites.

django-aws-beanstalk-docker-template

Boilerplate Template: Deploy and manage your Django application using AWS Beanstalk and Docker.

docker_django

docker container build script to create a python3/django system image

dockerfiles

Various Dockerfiles I use on the desktop and on servers.

esvia

Elkhorn Slough Vegetation Imagery Assessment (ESVIA). This suite of Google Earth Engine Javascript code analyzes vegetation change in a historical time-series using Landsat, as well as current-day vegetation productivity using Sentinel 2A imagery. Included in the scripts are operations such as image acquisition, image processing, and applications of vegetation indices with band combinations highlighting vegetation. The purpose of the software is to apply vegetation indices to Landsat 5, Landsat 8, and Sentinel 2A images, conduct a simply NDVI change detection, create histograms showing data distribution, and export the results.

fantasyfootballanalyticsr

R scripts and data files for the Fantasy Football Analytics website

flask-api-starter-kit

flask1

Back tutorial on flask

gee-atmcorr-s2-6se

Atmospheric correction of Sentinel 2 image collections

jupyter_notebooks

Collection of jupyter notebooks

landsat-ingestor-stack

Cloudformation stack to periodically copy L8 scenes to landsat-pds

landsat_preprocess

IPython notebook documenting a workflow for preprocessing Landsat data

leaflet

sandbox for experimenting with leaflet

metpy

A Python Package for Meteorological Data

mrjob

Run MapReduce jobs on Hadoop or Amazon Web Services

obsio

obsio is a Python package that provides a consistent generic interface for accessing weather and climate observations from multiple different data providers.

open-geo-tutorial

Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)

pipelines_and_featureunions

An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.

playprediction

Predicting NFL play-calling and analyzing other aspects of NFL coaching

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)