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Net Locality: Why Location Matters in a Networked World
A man is walking down Michigan Avenue in Chicago. He shares a sidewalk
with crowds of anonymous people. He sees skyscrapers and signage
extending to the horizon. There is a lot going on – people talking, walking,
playing, fighting, screaming, driving, and smiling. He sees a coffee shop
that excites his interest. He pulls... | | The Rough Guide to Tokyo - 4th Edition
The Rough Guide to Tokyo is the ultimate insiders guide to accessing Japan''s dazzling capital, with comprehensive coverage of all the sights, from beautiful traditional gardens to start-of-the-art museums and the iconic new Tokyo Midtown development. It tracks down the latest and best places to sleep, eat, drink and shop and gives... | | Magento Search Engine Optimization
You've built a great online store and all you need now are customers. This is where this invaluable tutorial comes in. Specifically written for Magento users, it uncovers the deep secrets of successful Search Engine Optimization.
Overview
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Optimize your store for search engines in other countries and...
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Always Be Testing: The Complete Guide to Google Website OptimizerStop guessing, start testing, and enjoy greater success with your website.
If you’re looking for more leads, sales, and profit from your website, then look no further than this expert guide to Google’s free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York... | | Learning Perl on Win32 SystemsIn this smooth, carefully paced course, leading Perl trainers and a Windows NT practitioner teach you to program in the language that promises to emerge as the scripting language of choice on NT. Perl for Win32 is a language for easily manipulating text, files, user and group profiles, performance and event logs, and registry entries. Based on... | | The Data Science Design Manual (Texts in Computer Science)
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.
The... |
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