pyglenn Brings NASA Thermodynamic Polynomials Into Modern Python

NASA Glenn Research Center's decades-old thermodynamic data for thousands of chemical species, used in combustion and rocket propellant modeling, has traditionally been stored in a rigid FORTRAN-formatted file. The new open-source library pyglenn, released under the MIT license by Dr. Reginaldo G. Leão Jr., packages this catalog into an embedded SQLite database with a typed Python interface. The article notes that the original data was calibrated with an older CODATA gas constant, and that using the current constant introduces a small systematic shift, which pyglenn tracks in its metadata. The library is installable via pip or conda-forge and provides frozen dataclasses for properties such as heat capacity, enthalpy, and entropy. Usage examples show calculating properties for oxygen at 1000 K.}