This study aimed to develop Python computer codes addressing problems relevant to the
discipline of Chemical Thermodynamics. The choice of language is due to its free nature, open
source, and versatility, facilitating access to educational resources. The implementation of
libraries and a graphical interface to the codes provides ease in execution and visualization of
results. Four libraries were highlighted, including thermo and CoolProp, open-source software
facilitating the determination of thermodynamic properties for pure substances and mixtures,
allowing the use of various models for critical analysis and selection of the most appropriate.
The iapws and XSteam libraries stood out in determining properties of water, steam, and
aqueous solutions. All libraries are available on GitHub, a collaborative environment conducive
to project contribution and sharing among researchers, constituting a valuable resource for
student reference. This work enabled the implementation of more realistic GRAPHICAL
ABSTRACT problems, demanding higher cognitive levels compared to traditional resolution
with calculators. The computational approach presented offers an effective tool to enhance the
teaching of Chemical Thermodynamics, expanding possibilities for analysis and understanding
by student
chemical engineering, education, python, thermodynamics.
