The book utilizes Python programming extensively to implement and simulate multi-agent system control algorithms. It introduces Python as a tool for analysis, design, and simulation, providing a brief overview of the language and its capabilities. The book includes numerous Python code examples to demonstrate the implementation of various algorithms, such as consensus control, coverage control, and formation control. These examples are accompanied by explanations of the underlying theory and concepts, allowing readers to understand the practical application of the algorithms. Additionally, the book provides Python code for simulating viral spreading phenomena over complex networks, showcasing the versatility of Python in multi-agent system research.