gsqueen Goto Github PK
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Location: New York, NY
gsqueen's Projects
awesome-gcp-certifications
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
azure-iot-samples-node
azure-iot-node-samples provides a set of easy-to-understand, continuously-tested samples for using Azure IoT Hub and Azure IoT Hub Device Provisioning Service using Node.js SDK.
azure-maps-dotnet-webgl-uwp-iot-remote-control
This is a sample application which shows how to build a remotely controlled map using Azure Maps and IoT hub services.
azuremapscodesamples
A set of code samples for the Azure Maps web control.
cloud-vision
Sample code for Google Cloud Vision
codelab-components
Web components for creating codelabs
community
This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.
data-engineering-on-gcp-cheatsheet
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
earth-ml
gcp-resources
Google Cloud Platform - Videos(arabic-english)/Tutorials/Docs/codes ...
gds_scipy16
Geographic Data Science with PySAL - Scipy'16
geonotebook
A Jupyter notebook extension for geospatial visualization and analysis
geopy
Geocoding library for Python.
gsqueen.github.io
hackathon-starter
A boilerplate for Node.js web applications
mapbox-gl-js
Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL
ml-on-gcp
Machine Learning on Google Cloud Platform
pysal_examples
Example data sets for PySAL
python-docs-samples
Code samples used on cloud.google.com
saga-python
A Light-Weight Access Layer for Distributed Computing Infrastructure and Reference Implementation of the SAGA Python Language Bindings.
spatial_python
Python resources for geospatial data
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
ucb-info257
wikipedia
A Pythonic wrapper for the Wikipedia API
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