Willie's Life's Historical Record

I've been screwing around with Google's Sheets API client library. I've finally produced something barely accomplishing: a Python script that reads the values from a spreadsheet I'm using as the temporary machine learning training and testing data source for The Companions Project . The sheet that will house companion training data Success in the PyCharm console Sure, I don't know any practical information on how to implement machine learning, but I'll get there. I at least know the basic process: get data, format data/create labels, train model, test model, and repeat training and testing until model is sufficient for job. In other news, I contacted my likely computer science teacher for next year, Mr. Burton, about the club I'll have to make. Obviously, he didn't respond as it's the weekend, but I'm awaiting his response. Today, I've finally figured out why The Companions Project's deployment to Google App Engin

I took the TSI test on Wednesday, but I wasn't the first one in the lab to finish. I blame my proctor's slowness at informing me on some prerequisites that Administration didn't inform me about and my own apathy to a test that didn't seem to put up much of a fight. Three other people beat me to the punch, but I still managed to finish before the end of third period. Since this test doesn't involve a non-disclosure agreement that people really don't care about anyway , I'll talk about the contents of the test. There's nothing too interesting about the test. I likely could have gotten a perfect score if I tried, and that's not just me being cocky. There was no advanced math on the test (nothing higher than algebra), but the reading sections are slightly more comprehensive than the STAAR test's. I literally mean slightly more comprehensive; the STAAR test is more fiction-oriented while the TSI's reading (I think) only consists of nonfiction pas