generated from mwc/lab_pokemon
23b8802838
working through the tasks for each data set. I am at a point in this lab where I am stuck and we are troublehooting the graphing functions. It appears that my computer is not agreeing with seaborn. That being said, I am suprised how much more accessible the math side of coding is with the jupyter notebook. I have enjoyed this lab, but I think it makes sense becasue there are models of exactly what needs to be done to the data sets, then we manipulate our own. This is something I am understanding, but want to keep practicing. The overall experience is positive though. As I continue and think about my own data, I want to do exactly what we discussed, and pull data then run it through similar steps (as the Pokemon lab). I think this will give me a chance to really practice this side of coding that is challenging for me. As I work through these problems and labs I find myself reflecting on Computer science as an interdicilinanary learning expereience. How do we engage individuals who struggle with math and order of operations or who have a fixed mindset about technology and math? How do we challenge these students and encourage them to try and flourish without turning them off from the computing sector all together?