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Arbie's Unoriginally Titled Book Blog

It's a blog! Mainly of book reviews.

Currently reading

Basics of Plasma Astrophysics
Claudio Chiuderi, Marco Velli
Progress: 58/250 pages
Ursula K. Le Guin: The Complete Orsinia: Malafrena / Stories and Songs (The Library of America)
Brian Attebery, Ursula K. Le Guin
Progress: 454/700 pages
Aurora: In Search of the Northern Lights
Melanie Windridge
Progress: 100/320 pages
A Student's Guide to Lagrangians and Hamiltonians
Patrick Hamill
Progress: 7/180 pages
Complete Poems, 1904-1962
E.E. Cummings
Progress: 158/1102 pages
The Complete Plays and Poems
E.D. Pendry, J.C. Maxwell, Christopher Marlowe
She Stoops to Conquer and Other Comedies (Oxford World's Classics)
Henry Fielding, David Garrick, Oliver Goldsmith
Progress: 159/448 pages
Gravitation (Physics Series)
Kip Thorne;Kip S. Thorne;Charles W. Misner;John Archibald Wheeler;John Wheeler
Progress: 48/1215 pages
I Am a Cat
Graeme Wilson, Aiko Ito, Sōseki Natsume
Progress: 368/638 pages
The Complete Novels of Jane Austen
Jane Austen
Progress: 651/1220 pages

Python Data Analytics

Python Data Analytics - Fabio Nelli

This book is not terrible but it could have been a lot better. The English is poor (the author is Italian, I think - certainly not a native English speaker, anyway) which makes it harder to follow what's going on - though not impossible. But here's the real problem; I am still spending more time looking things up online than in either of the two books on Python I have. This, to me, means they can't be good. By contrast, Mastering Matlab 7 by Duane C. Hanselman and Bruce Littlefield, is excellent and my copy is showing signs of imminent collapse through heavy use.


What's the difference? Total information content and it's presentation. The Matlab book contains vastly more info and much of it is concentrated in tables. My copy has a profusion of little post-it notes marking pages with reference tables that I use frequently. These are conspicuous by their absence in Python Data Analytics, except in the case of a  comprehensive appendix on Latex codes for use in plot annotation.


My search for a decent Python/SciKit reference goes on.