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Understanding Compression
Understanding Compression
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€38.99
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A01=. Mcanlis
A01=Aleks Haeky
A01=John Brooks
Age Group_Uncategorized
Age Group_Uncategorized
Arithmetic compression
Author_. Mcanlis
Author_Aleks Haeky
Author_John Brooks
automatic-update
BWT
Category1=Non-Fiction
Category=UMB
Category=UNA
Category=UNH
Category=UYF
COP=United States
data compression
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
history of computer science
Huffman
information theory
Language_English
lossless compression
LZ77
LZW
PA=Available
Price_€20 to €50
PS=Active
softlaunch
variable length codes
Product details
- ISBN 9781491961537
- Weight: 428g
- Dimensions: 178 x 233mm
- Publication Date: 30 Aug 2016
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won't churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is tricky. This witty book helps you understand how data compression algorithms work-in theory and practice-so you can choose the best solution among all the available compression tools. With tables, diagrams, games, and as little math as possible, authors Colt McAnlis and Aleks Haecky neatly explain the fundamentals. Learn how compressed files are better, cheaper, and faster to distribute and consume, and how they'll give you a competitive edge.
Learn why compression has become crucial as data production continues to skyrocket Know your data, circumstances, and algorithm options when choosing compression tools Explore variable-length codes, statistical compression, arithmetic numerical coding, dictionary encodings, and context modeling Examine tradeoffs between file size and quality when choosing image compressors Learn ways to compress client- and server-generated data objects Meet the inventors and visionaries who created data compression algorithms
Colt is a Developer Advocate at Google focusing on Games, compression, and Performance; Before that, he was a graphics programmer in the games industry working at Blizzard, Microsoft (Ensemble), and Petroglyph. He's been an Adjunct Professor at SMU Guildhall, a UDACITY instructor (twice), and a Book Author. Recently, he's been teaching Android Devs the Zen of Performance. When he's not working with developers, Colt spends his time preparing for an invasion of giant ants from outer space. He's also got a whole plethora of publications,videos and other things accounting for over 600,000 views
Understanding Compression
€38.99
