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Author: Lauren Coss
Publisher: Cherry Lake
ISBN: 1631377256
Category : Juvenile Nonfiction
Languages : en
Pages : 26
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Book Description
This Level 2 guided reader teaches how to classify objects by size and sort them into categories. Students will develop word recognition and reading skills while learning how to identify and sort objects by one of their key attributes, size.
Author: Lauren Coss
Publisher: Cherry Lake
ISBN: 1631377256
Category : Juvenile Nonfiction
Languages : en
Pages : 26
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Book Description
This Level 2 guided reader teaches how to classify objects by size and sort them into categories. Students will develop word recognition and reading skills while learning how to identify and sort objects by one of their key attributes, size.
Author: David Bauer
Publisher: Capstone
ISBN: 9780736817011
Category : Juvenile Nonfiction
Languages : en
Pages : 26
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Book Description
Describes how familiar items can be sorted by color, shape, or size.
Author: Jennifer L. Marks
Publisher: Capstone
ISBN: 0736867406
Category : Juvenile Nonfiction
Languages : en
Pages : 19
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Book Description
From bright birthday packages to yummy cookies to sidewalk chalk, you'll have a blast sorting by size. Discover how to group by length, height, width, and thickness. Check out Sorting by Size and size up your world.
Author: Kurt Mehlhorn
Publisher: Springer
ISBN: 3540877444
Category : Computers
Languages : en
Pages : 860
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Book Description
This book constitutes the refereed proceedings of the 16th Annual European Symposium on Algorithms, ESA 2008, held in Karlsruhe, Germany, in September 2008 in the context of the combined conference ALGO 2008. The 67 revised full papers presented together with 2 invited lectures were carefully reviewed and selected: 51 papers out of 147 submissions for the design and analysis track and 16 out of 53 submissions in the engineering and applications track. The papers address all current subjects in algorithmics reaching from design and analysis issues of algorithms over to real-world applications and engineering of algorithms in various fields. Special focus is given to mathematical programming and operations research, including combinatorial optimization, integer programming, polyhedral combinatorics and network optimization.
Author: Sean McManus
Publisher: In Easy Steps
ISBN: 1840789115
Category : Computers
Languages : en
Pages : 111
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Book Description
100 Top Tips – Microsoft Excel will help you boost your productivity and get more value from your spreadsheets with this powerful book of tips. It showcases: · Time-saving features (including data entry shortcuts) · Towerful functions for processing text and numbers · Insightful data analysis features, including pivot tables and what-if analysis. · How to use graphs · Debugging formulas · Printing clearly And much more! Whether you’ve been using Excel for years and never gone beyond the basics, or are just entering the world of spreadsheets, this book will quickly supercharge your skills. As you would expect from the In Easy Steps brand the book is written in an approachable style with step by step instructions provided for many of the tips, and full colour screenshots guiding you through the processes.
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Research, Development, and Demonstration
Publisher:
ISBN:
Category : Loans
Languages : en
Pages : 1044
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Book Description
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Research, Development, and Demonstration (Fossil Fuels)
Publisher:
ISBN:
Category : Loans
Languages : en
Pages : 1052
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Book Description
Author: Ed McDonnell
Publisher: Lulu.com
ISBN: 132653419X
Category :
Languages : en
Pages : 322
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Book Description
Author: Tyndale
Publisher: Tyndale House Publishers
ISBN: 1496467949
Category : Bibles
Languages : en
Pages : 1920
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Book Description
Bible Reading: Illuminated The new Tyndale NLT Personal Size Giant Print Bible, Filament-Enabled Edition has readable text and an attractive layout in an easy-to-carry size. And while it has the same low price as basic text-only Bibles, the NLT Personal Size Giant Print Bible offers much more. It not only features a bold new design and the trusted and much-loved New Living Translation (NLT) but also includes the groundbreaking Filament Bible app. Features: New, easy-to-read page designs Filament content linked to every page! Readable large print Handy, thin size Words of Jesus in red Quality lay-flat Smyth-sewn binding Tyndale Verse Finder A Visual Overview of the Bible Presentation page Ribbon marker Enhance Your Bible Studying with the Free Filament App All editions of the collection are equipped with the patented Filament Bible app, enabling readers to access specially curated content that illuminates the very page of the Bible they are reading. This app enables you to use your mobile phone or tablet to connect every page to a vast array of curated content, including: 25,000 study notes 350+ videos 40+ maps and infographics 400+ profiles and articles 150+ devotionals Library of worship music The Filament Bible app turns this Bible into a powerful study and devotional experience, offering more to expand your mind and touch your heart than you can possibly hold in your hand. And there is no additional cost for the Filament Bible app. No additional purchase. No additional size or weight. Of course, you can use this Bible without the app, but when you want to dig deeper, grab your phone or tablet and open the Filament Bible app. It's so easy to use.
Author: Dzejla Medjedovic
Publisher: Simon and Schuster
ISBN: 1638356564
Category : Computers
Languages : en
Pages : 302
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Book Description
Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting
