SKU: 68193385239

LEGO® los onderdeel Bal Doorzichtig Neon Groen 54821

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Description

LEGO® los onderdeel Bal Doorzichtig Neon Groen 54821Bionicle Zamor Bol (Bal) Bij LEGO is dit blokje bekend als element 4296080, 4583979. Alle blokjes met dezelfde vorm vind je via part nummer 54821. Alternatieve nummers zijn . Het gewicht van dit blokje is 2. 0 gram. Je vindt deze steentjes in categorie Bal, in het Engels Ball. Een LEGO onderdeel met deze vorm is voor het eerst gemaakt in 2006. In 2 verschillende sets is dit blokje gebruikt, voor het laatst in 2006. De naam van dit onderdeel in het

Bionicle Zamor Bol (Bal)

Bij LEGO® is dit blokje bekend als element 4296080, 4583979. Alle blokjes met dezelfde vorm vind je via part nummer 54821. Alternatieve nummers zijn . Het gewicht van dit blokje is 2.0 gram.

Je vindt deze steentjes in categorie Bal, in het Engels Ball. Een LEGO® onderdeel met deze vorm is voor het eerst gemaakt in 2006. In 2 verschillende sets is dit blokje gebruikt, voor het laatst in 2006.

De naam van dit onderdeel in het Engels is: Ball, Bionicle Zamor Sphere.

Kijk of een blokje met deze vorm bestaat met een motief.

Vind blokje 54821 in een andere kleur.

Gerelateerd

Overzicht van onderdelen die horen bij 'Bionicle Zamor Bol (Bal)'. Klik op een artikel om meer informatie te bekijken en door te klikken naar beschikbaarheid van andere kleuren.

Over de kleur Doorzichtig Neon Groen

LEGO® noemt deze kleur Trans Flu Green. Deze kleur wordt ook wel Transparent Neon Green, Trans-Neon Green genoemd. Ga je met LDraw aan de slag, dan gebruik je Trans_Neon_Green. Hier vind je een handig LEGO® Kleuren overzicht.

Tip

Alle blokjes komen uit originele LEGO® sets die door ons worden gesorteerd en aangeboden.

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SKU: 68193385239

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4.6 ★★★★★
Based on 13 reviews
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Z
Verified Purchase
Zay
Omaha, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
R
Verified Purchase
Rory Derrick
New York, US
★★★★★ 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
C
Verified Purchase
Cory P.
Grantham, US
★★★★★ 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
F
Verified Purchase
Frank Gonzalez
Boise, US
★★★★★ 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
I
Ira Laefsky
Belleville, US
★★★★★ 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

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