Which Beatles’ album is the one best loved by fans? I’ll answer that question below in a new and unique way, but first a brief detour…
We’re all going to die someday, we just don’t know when and how.
I recently celebrated one of those birthdays ending in a zero and was rummaging through some old photos, school records, etc., when I came upon my fourth grade class picture. For those of you who can’t get enough 60s era fashion and hairstyles, the cover photo above is Miss LaRusso’s Fourth Grade Class, Collins School, Livingston, NJ in 1970, when I was ten yours old.
If I had to categorize “In Bruges”, I’d go with Thriller/Travelogue, which is not a very crowded field. It’s the story of two career hit men who go on a little vacation, ostensibly to lay low after a recent crime spree. But as you might guess, there’s more to this trip than meets the eye.
The full title of this book is “Guitar Man – A Six String Odyssey, or, You Love That Guitar More Than You Love Me”. It’s the autobiographical tale of a Brit named Will Hodgkinson, who takes up the guitar in his mid-thirties.
Good documentaries make you feel something. This film will make you feel angry. Very angry.
I’m a sucker for offbeat, quirky documentaries. My favorites have a little dose of crazy – either in the characters or the story or both. For me, the craziness is what makes it human and compelling.
Oftentimes, when I start a new book my initial enthusiasm gets me through the first chapter or two. Then comes the moment of truth.
Yesterday my co-workers kindly threw me a little going away party (or a “leaving do” as the Brits call them). Below is the text of a poem I wrote to mark the occasion.
You’ve probably heard the famous George Bernard Shaw quote about America and Britain being “two nations divided by a common language”.
(Image courtesy of https://claudeai.wiki/)
I switched on the power and stood back, not knowing what to expect. Led lights briefly flickered and in an instant I heard someone, or something, call out to me, in a surprisingly natural sounding voice:
My daughter, Maya, is growing up too quickly. At some point the little girl who used to love to jump into my arms turned into a sophisticated pre-teen with an aversion to displays of affection, especially toward her father. That’s why the hand on my arm took me by surprise.
As a long time chess player, I’ve often thought of chess as a metaphor for life. Decisions made at the chess board, like those made in life, can never be undone so you need to choose your moves carefully. As Thomas Wolfe said, “You can’t go home again”.
How do you know when you’ve enjoyed a book? That seems like a silly question, doesn’t it? But books are mixed bags, not all good or all bad.
I'm an American software engineer based in London.
My mission is building tools, tutorials, and online courses to help make computing, mathematics, and data science more accessible and more inclusive.
mco.dev/datasette datasette home page video tutorial SQLite is not a toy database - “SQLite is the most common DBMS in the world” Datasets: today’s demo examples fivethirtyeight install: pip install csvs-to-sqlite datasette datasette-vega convert: csvs-to-sqlite games.csv games.db start: datasette games.db simple query: select winner, count(*) from games group by winner complex query: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 select rating, victory_status, a, b, cast(a as float)/cast(b as float)*100 from (select case when white_rating between 0 and 1200 then '0-1200' when white_rating between 1200 and 1500 then '1200-1500' when white_rating between 1500 and 1800 then '1500-1800' when white_rating between 1800 and 2100 then '1800-2100' when white_rating between 2100 and 2400 then '2100-2400' else '2400+' end as rating, victory_status, count(*) as a, sum(count(victory_status)) over (partition by case when white_rating between 0 and 1200 then '0-1200' when white_rating between 1200 and 1500 then '1200-1500' when white_rating between 1500 and 1800 then '1500-1800' when white_rating between 1800 and 2100 then '1800-2100' when white_rating between 2100 and 2400 then '2100-2400' else '2400+' end) as b from games group by rating, victory_status) publish: datasette publish cloudrun games.
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