SKU: 92624413126

GUIA PARA EL AREA DE PERCEPCION ASOCIACI

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Description

GUIA PARA EL AREA DE PERCEPCION ASOCIACILos problemas de aprendizaje se reflejan en deficiencias en la lectura , la escritura y la habilidad matemtica. Estos problemas constituyen una importante limitacin para el logro de los objetivos del sistema escolar y la realizacin de las aspiraciones. Esta coleccin de 12 guias buscan orientar a profesores, padres de familia y a toda persona del mbito educativo en la identificacin, valoracin y tratamiento de estos problemas mediante diversos

GUIA PARA EL AREA DE PERCEPCION ASOCIACI
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SKU: 92624413126

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4.1 ★★★★★
Based on 910 reviews
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Product Reviews
E
Verified Purchase
E. Fanning
New York, US
★★★★★ 5
A great book
Format: Hardcover
This book was absolutely great.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 20, 2024
Z
Verified Purchase
Zay
Alexandria, 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
Battle Creek, 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
Houston, 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

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