Quick idea around more active content consumption My goal is to write about/ annotate what I read/ watch Just came up with a pattern of consumption to enable this. So on a youtube video for example, I can “Share” into “Dropbox” , specifically into a new folder say, of just metadata Then I found this youtube api doc where you can actually give the hyoutube api a youtube id and it will give you the metadata, like title, channel name, date, etc Then in a separate place, I can have my actual notes but they can now get linked together more easily, because I have the matching metadata....

We had a surprise Halloween pipe leak but luckily I got to our local hardware store just 15 minutes before they closed. And they had the pipe I needed. We had guests over that night, so this went much better than the worst case scenario!

This is a mini post part of this project. (Originally posted here ). Take a quick look at time of day distribution import matplotlib.pyplot as plt import numpy as np import pandas as pd datadir = '/opt/data' localdir = '/opt/program' tripsdf = pd.read_csv(f'{datadir}/2013-07 - Citi Bike trip data.csv') stationsdf = pd.read_csv(f'{localdir}/datas/stations/stations-2018-12-04-c.csv', index_col=0) tripsdf.iloc[0] tripduration 634 starttime 2013-07-01 00:00:00 stoptime 2013-07-01 00:10:34 start station id 164 start station name E 47 St & 2 Ave start station latitude 40....

This project is a reboot of an earlier project predicting bicycle ride share riders destinations.