After spending last week Bootstrapping things and, somewhat related, working my way around Pelican, today I have tried to tie up loose ends so I can start spending more time thinking about what information I can get from all this data. While the package is far from complete, these "finishing touches" ended up being the three themes of this morning's work -

1. Implementing a settings file
2. Customising Plotly graphs
3. Generating random names

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Jumping back in to Python has been just as fun as my first experiences with it. After brushing off some of the dust, I have managed to put together a (very) small package that does a couple of basic things with a Google Takeout Mail (mbox) file:

1. Parses and standardizes the format of email addresses;
2. Imports key messages data in to an sqlite database;
3. Produces simple graphs of top recipients and senders.

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I have been slowly migrating off of a Gmail email address for a couple of months now - I established this domain, selected an email provider, set up SPF, DMARC, etc. and finally created myself a new email address. I updated the address in all of the obvious places, but still found myself using Gmail frequently to keep up. At some point I realized that the only way to finish the migration would be to do something with all the email I had hoarded away in Gmail.

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