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Description
AOS Vanguard: Daughters of KhaineAs deadly as they are graceful, the warlike aelves of the Daughters of Khaine seek to spill sacred torrents of blood in the name of their violent deity. Shaped by drops of Khaine's own blood, the elite Melusai Ironscale leads her slithering Blood Stalkers into battle. As their heartseeker arrows hiss overhead, Doomfire Warlocks fling howling bolts of dark magic and frenzied Witch Aelves leap into battle, eager to make an offering to the Bloody Handed
As deadly as they are graceful, the warlike aelves of the Daughters of Khaine seek to spill sacred torrents of blood in the name of their violent deity. Shaped by drops of Khaine's own blood, the elite Melusai Ironscale leads her slithering Blood Stalkers into battle. As their heartseeker arrows hiss overhead, Doomfire Warlocks fling howling bolts of dark magic and frenzied Witch Aelves leap into battle, eager to make an offering to the Bloody-Handed God.For those who wish to honour Morathi-Khaine in war, this Vanguard box makes an ideal starting point for a Daughters of Khaine collection – or a simple way to add to the ranks of your murderous aelven warriors – and will also save you money compared to buying the contents individually. With a Hero, Battleline, and additional support, this set offers a complete army in a box for you to bring to the tabletop in games of Warhammer Age of Sigmar.
This set includes the following multipart plastic models:
– 1x Melusai Ironscale
– 10x Witch Aelves, which can alternatively be built as Sisters of Slaughter
– 5x Blood Stalkers, which can alternatively be built as Blood Sisters
– 5x Doomfire Warlocks
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4.8 ★★★★★
Based on 27 reviews
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Product Reviews
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
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
★★★★★ 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
★★★★★ 1
Don't buy. Author's okay effort to publish what seems like a rough draft.
Format: Paperback
Poorly written, unnecessarily complex wording to code introduction/explanations, and path to solutions (cover to cover of the book) are the most bizarre of choices. Excessively wordy and dramatic (i.e. "let me tell you the entire history of human kind before we dive into anything programming/problem solving related." ). Either he's new to publishing or programming, or both. PASS.
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Reviewed in the United States on April 26, 2022
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