Hands-On Neuroevolution with Python

Summary

In this chapter, we learned about four popular Python libraries that we can use for experiments in the field of neuroevolution. We discussed the strengths and weaknesses of each library that was presented, and reviewed the basic examples of using these libraries in Python. After that, we looked at how to set up the environment for Python-based experiments to avoid the side effects of having multiple versions of the same library in the Python path. We found that the best way to do this is to create isolated virtual environments for each Python project, and considered several popular solutions created by the open source community to help with this task. Finally, we introduced Anaconda Distribution, which includes, among other useful ...