Changes

}}

*'''Query rate limit hit while using subqueries to find the retweeters of every given tweet. Need to mitigate this problem somehow if we were to scale.'''

*A tweet looks like this in json:

===7/14 & 7/15: Alpha dev wrap-up===

***It is, however, unclear if this is useful. Considering that the sleeper is triggered at a certain point, it is hard to keep track of the chokepoint and, more importantly, how long is the wait and how long already has elapsed.

**Note: it was important to add progress print() statements at each juncture of the scrapper driver for each iteration of data scrapping, as follows. They helped me track the progress of the data query and writing, and alerted me to possible bugs that arise for individual @shortname and timelines.

Note to self: full automation/perfectionism is not necessary or helpful in a dev environment. It is of paramount importance to seek the shortest path, the max effect and the most important problem at each given step.

*'''Development complete'''

**Output files can be found in E:\McNair\Users\GunnyLiu, with E:\ being McNair's shared bulk drive.

***Main datasheet that maps each row of @shortname to its count of followers and past month tweets is named <code>Hub_Tweet_Main_DataSheet.csv</code>

**Code will be LIVE on <code>mcnair git</code> soon

*Output/Process Shortcoming:

**Unable to correct for timezone in calculating tweets over the past month. Needs to install <code>python 3.5.3</code>

**Unable to process data for a single @shortname i.e. @FORGEPortland becuz they don't tweet and that's annoying