SKU: 28989765032

Я досліджую світ. 2 клас. Робочий зошит до підручника О. Волощенко, О. Козак, Г. Остапенко. У 2-х частинах. Частина 2. I Explore The World. 2Nd Class. Workbook For The Textbook O. Voloshchenko, O. Kozak, G. Ostapenko. In 2 Parts. Part 2

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Description

Я досліджую світ. 2 клас. Робочий зошит до підручника О. Волощенко, О. Козак, Г. Остапенко. У 2-х частинах. Частина 2. I Explore The World. 2Nd Class. Workbook For The Textbook O. Voloshchenko, O. Kozak, G. Ostapenko. In 2 Parts. Part 2. 2 . . , . , . . 2 . 2. I Explore The World. 2Nd Class. Workbook For The Textbook O. Voloshchenko, O. Kozak, G. Ostapenko. In 2 Parts. Part 2 . , . , . ' . 2 '. , . , , . SPECIFICATIONS: Author: Antonina Nazarenko Publisher: Language: Ukrainian Publication Date: 2020 Number of pages: 64 pst Format: Paperback Width: 165 mm 6,5' Height: 235 mm 9,3' Weight: 100 g Illustrations: Black and white ISBN: 9789669252074

Я досліджую світ. 2 клас. Робочий зошит до підручника О. Волощенко, О. Козак, Г. Остапенко. У 2-х частинах. Частина 2. I Explore The World. 2Nd Class. Workbook For The Textbook O. Voloshchenko, O. Kozak, G. Ostapenko. In 2 Parts. Part 2

Робочий зошит укладено відповідно до Державного стандарту початкової освіти та підручника О. Волощенко, О. Козак, Г. Остапенко 'Я досліджую світ. 2 клас'. Зошит доповнений схемами та малюнками, що забезпечить ефективність вивчення матеріалу та сприятиме розвитку творчих здібностей і пізнавальної активності учнів. Вправи допоможуть дітям закріпити свої знання у формуванні дослідницьких умінь, опануванні доступних способів пізнавання себе, предметів і явищ природи та суспільного життя.

SPECIFICATIONS:

Author:Antonina Nazarenko - Антоніна Назаренко

Publisher:БЭТ

Language:Ukrainian/Українська

Publication Date:2020

Number of pages:64 pst

Format:Paperback

Width:165 mm / 6,5'

Height:235 mm / 9,3'

Weight:100 g

Illustrations:Black and white

ISBN:9789669252074

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SKU: 28989765032

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4.4 ★★★★★
Based on 11 reviews
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Z
Verified Purchase
Zay
Phoenix, 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
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
C
Verified Purchase
Cory P.
Los Angeles, 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
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Louisville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021

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