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  1. Drawing- My commute

    Today’s commute included: The next few chapters of Tony Judt’s Postwar (audiobook).

  2. Clojure + cryptography = maximum fun

    In March 2017, I attended the Boston ClojureBridge.

  3. TIL- Multiple cursors in Jupyter

    This tutorial by perfectlyrandom.org had been on my TODO list for about 5 months.

  4. 2017 in review- Books

    Meh.

  5. Data is my co-pilot

    Article report time!

  6. I <3 waves

    My formal education in physics ended in high school - what a shame!

  7. Priors all the way down

    Today I learned something very handy: how to encode subjective beliefs into a Bayesian prior when you only have information on the quantiles.

  8. How I read

    This year, I read 104 books.

  9. Power bummer

    I’ve been thinking a lot about power lately.

  10. Automatic desktop backgrounds

    One of my first Python projects was automating a daily desktop background.

  11. Journey to the center of data science

    I’ve been asked by more than two people about what my “journey to the center of data science” was and, well, one of my core values is automation.

  12. Hello, Pelican!

    Hello, world!

  13. Metadata # Author(s): Cameron Newham Number of pages: 333 Year published: 2005 Year read: 2017 Review # Bash agility - fluency on the Unix/Linux terminal - is a super foundational meta-programming skill that I feel like gets short shrift as we all rush to…

  14. Metadata # Author(s): Cameron Davidson-Pilon Number of pages: 256 Year published: 2015 Year read: 2017 Review # A fun and informative book on applied Bayesian modeling in Python.

  15. Metadata # Author(s): Jeffrey E.F.

  16. Metadata # Author(s): Cathy O’Neil, and Rachel Schutt Number of pages: 405 Year published: 2013 Year read: 2017 Review # Thus endeth my lunchtime reading book.

  17. Metadata # Author(s): Cathy O’Neil Number of pages: 259 Year published: 2016 Year read: 2017 Review # Cathy O’Neil is one of my heroes; I love listening to her on Slate Money, and her less pop/more technical book, Doing Data Science, occupies a prominent…

  18. Think Stats (2011) -

    Metadata # Author(s): Allen B.

  19. Metadata # Author(s): Allen B.

  20. Metadata # Author(s): Edward R.

  21. Metadata # Author(s): Finn Brunton Number of pages: 270 Year published: 2013 Year read: 2014 Review # Aaah.

  22. Metadata # Author(s): Shay Howe Number of pages: 306 Year published: 2014 Year read: 2014 Review # This is a review for the online tutorials on which this book is based.

  23. Metadata # Author(s): Mike Dewar Number of pages: 66 Year published: 2012 Year read: 2014 Review # I’m not sure who this book is pitched to - maybe it resonates with people who already have a pretty good knowledge of JavaScript.

  24. Metadata # Author(s): Scott Murray Number of pages: 270 Year published: 2013 Year read: 2014 Review # Awesome.