BEFORE YOU START: Launch an AWS EC2 instance using the bgse Community AMI.
The EC2 instance should be a part of a secruity with an inbound rule of the following attributes:
Type | Protocol | Port Range | Source |
---|---|---|---|
HTTP | TCP | 80 | 0.0.0.0/0 |
git clone | |
ssh and https | |
git commit and push | |
git branching | |
git merging |
Though neural networks have been around for a while, I have whittled down the list of players in the game of visualizing them to the following:
A reusable app in React.js
The multiple eligibility problem is pervasive across government agencies (and probably other agencies). I'm familiar with this problem from my time at Nava, where they are working both within healthcare.gov and state ecosystems to understand how to help citizens determine eligibility and apply for the varied social service programs available to them. Nava user research continues to study the complex eligibility requirements and application processes that exist for federal and state social services. It is probably that most services are underenrolled because of these complexities.
Started from https://zero-to-jupyterhub.readthedocs.io/en/latest/amazon/step-zero-aws-eks.html
Notes from each step:
Step 1: EKS Service Role
AmazonEC2ContainerRegistryReadOnly
, assuming it is unnecessary or a part of the other 2 policiesimport h5py | |
import json | |
f = h5py.File('ATL03_20181013235645_02340114_002_01.h5') | |
limit = 100 | |
# Should do this for gt1l, gt2r, gt2l, gt3r, gtl3 | |
heights = f['gt1r']['heights'] | |
feature_collection = { |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.14/ATL08_20181014072105_02390110_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.14/ATL08_20181014200847_02470112_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.15/ATL08_20181015065526_02540110_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.15/ATL08_20181015194309_02620112_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.16/ATL08_20181016080404_02700110_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.16/ATL08_20181016191729_02770112_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.16/ATL08_20181016205147_02780112_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.17/ATL08_20181017073824_02850110_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.18/ATL08_20181018071244_03000110_003_01.h5 | |
https://n5eil01u.ecs.nsidc.org/DP7/ATLAS/ATL08.003/2018.10.18/ATL08_20181018200027_03080112_003_01.h5 |