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Description
bia bed cotton hoes voor hondenmand blauw 2Bia Bed Katoenen Hoes Hondenmand Blauw 120x100 cm De Bia Bed Cotton Hoes Hondenmand Blauw 120x100 cm is een katoenen hoes voor over een Bia Bed 100 in een mooie blauwe kleur met een eigentijds uiterlijk. Voor elke maat Bia Bed is er een passende katoenen overtrek. De katoenen hoes trek je makkelijk over je Bia Bed heen en verleden perfect. Het katoen heeft een eigentijdse uitstraling waardoor het verleden in elk interieur. De hoes is van hoge
Bia Bed Katoenen Hoes Hondenmand Blauw 120x100 cmDe Bia Bed Cotton Hoes Hondenmand Blauw 120x100 cm is een katoenen hoes voor over een Bia Bed 100 in een mooie blauwe kleur met een eigentijds uiterlijk. Voor elke maat Bia Bed is er een passende katoenen overtrek. De katoenen hoes trek je makkelijk over je Bia Bed heen en verleden perfect. Het katoen heeft een eigentijdse uitstraling waardoor het verleden in elk interieur. De hoes is van hoge kwaliteit, zacht, warm en zorgt voor een gedragsmatig gevoel voor jouw hond als hij in zijn mand ligt. Op warme dagen voelt deze hoes lekker koel aan. De hoes droogt snel op. Het is dus geen probleem als uw hond graag zwemt en bij thuiskomst meteen (nat) in zijn mand gaat liggen. De hoes kun je in de wasmachine wassen op 40 graden.
- Hoes voor Bia Bed maat 100
- Katoenen overtrek in kleur blauw
- Wassen op 40 graden
Afmeting: 120X100 cm
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4.3 ★★★★★
Based on 2052 reviews
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Product Reviews
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
★★★★★ 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