Currently, when modeling complex technological processes in cyber-physical systems, procedures for creating so-called digital twins (DCs), which are virtual copies of real objects and reflect their main properties and characteristics at various stages of the life cycle, are becoming more widespread. The use of digital twins allows real-time monitoring of the current state of the simulated system, and also provides additional opportunities for engineering and deeper tuning of its components to improve the quality of products. The development of the “digital twin” technology is facilitated by the ongoing Fourth Industrial Revolution, which is characterized by the massive introduction of cyber-physical systems into production. These systems are based on the use of the latest data processing and presentation technologies and have a complex structure of information links between its components. When creating digital twins of elements of such systems, it is advisable to use programming languages that allow you to implement the visualization of the simulated processes, as well as provide a convenient and developed apparatus for working with complex mathematical dependencies. The Python programming language has similar characteristics. In the article, as an example of a cyber-physical system, a chemical-technological system based on a conveyor-type roasting machine is considered. This system is designed to implement the process of producing pellets from apatite-nepheline ores mining waste. The article describes various aspects of creating a digital twin of its elements that carry out the chemical-technological process of drying in relation to a single pellet. The digital twin is implemented using the Python 3.7.5 programming language, and provides for the visualization of the process in the form of a three-dimensional interactive model. Visualization is made using the VPython library. A description of the operation algorithm of the digital twin software, the type of interface of the information system, the format of input and output information, as well as the results of modeling the chemical-technological process under study are given. It is shown that the developed digital twin can be used in three versions: independently (Digital Twin Prototype), as an instance of a digital twin (Digital Twin Instance), and also as part of a set of digital twins (Digital Twin Aggregate).