PyCX | based sample code repository for complex systems research

PyCX is a Python library typically used in Simulation applications. PyCX has no vulnerabilities and it has low support. However PyCX has 3 bugs, it build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The PyCX project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems modeling and simulation, including iterative maps, ordinary and partial differential equations, cellular automata, network analysis, dynamical networks, and agent-based models. You can run, read and modify any of its codes to learn the basics of complex systems modeling and simulation in Python. The target audiences of PyCX are researchers and students who are interested in developing their own software to study complex systems using a general-purpose programming language but do not have much experience in computer programming. The core philosophy of PyCX is therefore placed on the simplicity, readability, generalizability, and pedagogical values of sample codes. This is often achieved even at the cost of computational speed, efficiency, or maintainability. For example, PyCX does not use object-oriented programming paradigms so much, it does not use sophisticated but complicated algorithm or data structure, it does use global variables frequently, and so on. These choices were intentionally made based on the author's experience in teaching complex systems modeling and simulation to non-computer scientists coming from a wide variety of domains. For more details of its philosophy and background, see the following open-access article: Sayama, H. (2013) PyCX: A Python-based simulation code repository for complex systems education. Complex Adaptive Systems Modeling 1:2.