cohen-seth's Stars
cohen-seth/observation-inventory-utils
This repository contains a command line tool to help create an inventory of physical systems observations for data assimilation. This inventory will be created from observation files located in both the BDP's aws s3 object store and Hera's hpss tape storage and will be stored in an sqlite3 database.
JCSDA/ioda
Interface for Observation Data Access
NOAA-PSL/observation-inventory-utils
This repository contains a command line tool to help create an inventory of physical systems observations for data assimilation. This inventory will be created from observation files located in both the BDP's aws s3 object store and Hera's hpss tape storage and will be stored in an sqlite3 database.
NOAA-EMC/NCEPLIBS-bufr
The NCEPLIBS-bufr library contains routines and utilites for working with the WMO BUFR format.
NOAA-EMC/GSI-utils
GSI related utilities
NOAA-EMC/GSI-ncdiag
GSI NetCDF Diagnostics
NOAA-EMC/bufr-dump
SDSS2020/SDSS-templates
top-quarks/top-quarks
Nesador95/Computational-Physics-Solutions
This project's aim is to provide a sample of my abilities in the form of a challange. The challange is to provide a solution to all exercises in the book Computational Physics by Mark Newman
techwithtim/Python-Planet-Simulation
A simulation of planets and their orbits around the sun in Python.
adrienverge/familytreemaker
Generates a family tree graph from a simple text file
cohen-seth/Blog-Post
This code is from a blog post I coauthored while interning at Pew Research Center. I worked within the Politics team studying U.S. political opinions and trends. The full post can be found here (https://medium.com/pew-research-center-decoded/a-short-intro-to-linear-regression-analysis-using-survey-data-ff39468f8afb). The dataset can be downloaded at https://www.people-press.org/dataset/american-trends-panel-wave-23/
fverkroost/RStudio-Blogs
This repository contains code I have written to produce RMarkdown files for my RStudio blogs.
tpogden/quantum-python-lectures
A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.