Hands-On GPU Computing with Python

Programmable environments

So far in our last three chapters, we have learned about using Conda to implement different Python-based programming modules for GPU computing. We also learned about system-wide installations for this. As you might already know, Conda can be used system-wide, but it is not primarily meant to be used so in practice. Rather, it is focused toward creating and managing virtual local environments invisible to the remaining outer part of the OS. In this section, we explore both system-wide and virtual ways of accessibility through the exploration of different programmable environments.