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Product details
File Size: 12957 KB
Print Length: 368 pages
Page Numbers Source ISBN: 1634621301
Publisher: Technics Publications; 1 edition (August 11, 2016)
Publication Date: August 11, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01KAY4WUY
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#190,415 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
It has been impossible to date to find an errata list for this book. The book appears to need one. Otherwise, kind of OK.
I own a few books on Julia, but this is indeed the one I like the best.!
The book is a bit mixed introducing data science concepts with examples using the excellent new Julia language which definitely will be the future.
I loved this book: it explains exactly what the title says: Julia for Data Science! The first few chapters are the 101 of Julia, but then the book turns and goes deeper and deeper into Data Science.As I longtime Python developer, I appreciated the conciseness and the speed of Julia and the variety of libraries available for Data Science. I already approached Julia in the past, but I found other books too much CS-oriented or too general purpose: with the main focus on Data Science this one is different, allowing me to move my first steps and becoming proficient in Julia in weeks. A few chapters into the book, and I was already ready to experiment on my own, effectively changing and shaping the code to test Julia on my professional projects.
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