My name is Alex, and lately I’ve been checking the forum in order to see how other students use to study the content in Dataquest, but, unfortunately I couldn’t find any doubt regarding that. So here is mine. I’d like to ask your personal opinion of my studying way and if maybe I could improve something as well.
Right now I am starting the Step 2, Mission 4 (Data Cleaning and Analysis). So far, and specially since the content starts with Pandas and Numpy, I’ve been doing all the study using Jupyter Notebook, in order to deal with an authentic interface. This allowed me to understand how to call files, use them, and see personally the results of the code I was writing. During the exercises, when I get stuck I check the hints, and if even then I can’t resolve a problem, I check the answer.
So, all this, allowed me to build some notes, that I rescue when I get stuck trying to remember specific things like… “df.iloc”, “df [ “” ] or df [ [ “” ] ]?” etc. These kind of questions about how my code is written and that sometimes we forget.
In coding, is normal to forget these kinds of things? or are you trying to memorize all the libraries and the classes, atributes, parameters etc.?
Sharing some advise about this might help me check if I have to change something or if I can keep my track this way.
Thank you guys