Learning Python

Python Day 66 – starting to analyze my own data

Today I imported a .csv file with some data on fulfillment that I’ve been tracking for myself for a couple months. I then tried to do some analysis on it… I learned: To use the .iloc[row, column] property in Pandas to select certain rows of data. While it works it also returns the value not…

Python Day 65 – importing my own data

Today I tried taking some data and messing around with it. I was able to import the .csv but didn’t get to manipulating it. I learned: While this was mostly reviewing old notes/workbooks of mine, I did learn that there is a big conceptual difference between a database and dataframe. I’m not 100% certain but…

Python Day 64 – practicing numpy and thoughts on the future

I’m done with the API module so I just went back to do some numpy practice problems to see if I even still remembered it haha. I learned: Just the little stuff, like when using np.arrange to use (parenthesis) and not [brackets], but when I’m making adjustments to an array to use [brackets]. Looking forward:…

Python Day 63 – more data pulling

Today I continued with the website data module, which is starting to make more sense. I learned: There are two main ways to look at data from websites in a more elegant manner, manually or with ‘glom’. For instance, to get posts titles on reddit, one can use: titles = []For post in data[‘data’][‘children’]: titles.append(post[‘data’][‘title’])titles…

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