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| Recent readings (can you guess/decipher some of them?) |
I've been fairly quiet on this particular blog this year. Beside a lot of data science work, I've done presentations at meetups and conferences, including a recent tutorial on "Getting to know your data at scale" at the IEEE SouthEastCon 2017. Notebooks will be posted on github soon.
But, in the meantime...
Ex-libris
Something else I've been doing is publishing a few articles here and there. Just recently, I started a 6 part series on LinkedIn called "ex-libris" of a Data Scientist. I think many readers of this blog will appreciate this series, and particularly this first installment on "
data and databases":
"ex-libris" of a Data Scientist - Part i
It covers a good variety of books on the subject, some pretty much must read for whatever corner of the computer science world you live in. Also of interest will be the
Postgres,
Hadoop and
graph database pointers and a list of over
20 curated must read
papers in the field.
Python specific books will show up in part IV.
Francois Dion
@f_dion
