Name: Zach Burnett
Type: User
Company: Space Telescope Science Institute
Bio: geospatial information science, high-altitude ballooning, bathymetric data pipelines, oceanic modeling, and (currently) space telescope calibration support
Blog: https://codeberg.org/zacharyburnett/
Zach Burnett's Projects
Tools for HST/ACS
Github action definition to allow for publication of a python package to PyPI upon a qualifying release event.
Hosting for SciPyCon 2021 Poster AutoPyBind11
ASDF (Advanced Scientific Data Format) is a next generation interchange format for scientific data
This is the extension library for ASDF to provide support for Astropy.
Standards document describing ASDF, Advanced Scientific Data Format
An experimental asdf extension to support chunked arrays.
Sphinx documentation for AstroConda
This repository is used for preparing and recording deliveries
Astronomy and astrophysics core library
Benchmarks for the astropy project
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Core pure python benchmarking for asv
Retrieves your activation data (activation_bytes) from Audible servers. Using https://github.com/inAudible-NG/tables project instead is recommended.
Package in need of a better name to automate opening pull requests :robot:
Calibration for HST/COS.
multi-shell multi-command argument completer
CI helper for STScI Jenkins
Development repository for the CICE sea-ice model
CoastalApp is a NUOPC application implemented following UFS best practices to couple coastal ocean models and other domains (Sea Ice, Atmosphere, Wave, Inland Hydrology, ...)
builds the CoastalApp FORTRAN application and returns built binaries
Pipeline to run exovetter
Tools for HST/COS.
coupled model configuration generation
Calibration Reference Data System for HST and JWST.
A Python library for obtaining, processing and interacting with calibrated DKIST data.
A package for combining dithered images into a single image
AstroDrizzle for HST images.
Dynamic versioning library and CLI
perturbation of coupled model input over a space of input variables