Adventurer Knit - OSFM

Marsoni

M251S

$90.00

Get it in 3 business days with 1 day shipping. Friday, May 29

Adventurer Knit - OSFMContrast and colour are captured in the Adventurer Knit. Created from 100% cotton, this women's knit features long sleeves and a wide round neckline. Three wide ribbons of colour are the striking feature of this knit, accentuated by sequinned divider strips. The gorgeous colouring and contrasting of this design need a little more than your favourite jeans and sneakers.

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I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.

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Reviewed in the United States on February 7, 2021

Susan

Bozeman, US

★★★★★ 5

Easy to understand, makes algorithms exciting again!

Format: Kindle

Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.

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Reviewed in the United States on January 28, 2021