Pinned Repositories
ClimateChangeXplorers.github.io
awesome-diy-wx
A collection of resources for diy, semi-professional, 3d-printed and otherwise amazing weather stations.
docker-containers
Source files required used to build the official openSUSE containers for Docker
ESIP2020WinterMeetingIoTwx
Tutorial for participatory design and build of 3D printed weather station.
gopro-py-api
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
incubator-superset
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
iotwx.github.io-hugo
Hugo source for iotwx.github.io
noaa-ghcn-weather-data
Fetching and processing NOAA Global Historical Climatology Network Weather Data
statistical-methods-in-the-atmospheric-sciences
Implementation of statistical methods used to describe, analyze, test, and forecast atmospheric data using: Python, Apache Spark, Dask, Xarray, Pandas, GeoPandas
unidata-python-workshop
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
TeamGhana's Repositories
TeamGhana/unidata-python-workshop
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
TeamGhana/awesome-diy-wx
A collection of resources for diy, semi-professional, 3d-printed and otherwise amazing weather stations.
TeamGhana/docker-containers
Source files required used to build the official openSUSE containers for Docker
TeamGhana/ESIP2020WinterMeetingIoTwx
Tutorial for participatory design and build of 3D printed weather station.
TeamGhana/gopro-py-api
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
TeamGhana/incubator-superset
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
TeamGhana/iotwx.github.io-hugo
Hugo source for iotwx.github.io
TeamGhana/noaa-ghcn-weather-data
Fetching and processing NOAA Global Historical Climatology Network Weather Data
TeamGhana/statistical-methods-in-the-atmospheric-sciences
Implementation of statistical methods used to describe, analyze, test, and forecast atmospheric data using: Python, Apache Spark, Dask, Xarray, Pandas, GeoPandas