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Learn everything you need to know about OOJS in this comprehensive guide
What You Will Learn
- How to set up and use your training environment (Firebug)
- In depth discussion of functions, function usage patterns, and variable scope
- Understand how prototypes work
- Reuse code with common patterns for inheritance
- Make your programs cleaner, faster and compatible with other programs and libraries
About the Authors
A “citizen of the world”, Stoyan was born and raised in Bulgaria, but is also a Canadian citizen, currently residing in Los Angeles, California. In his offline moments, he enjoys playing the guitar, taking flying lessons, and spending time at the Santa Monica beaches with his family.
$9.99 Pro Hadoop Data Analytics Designing and Building Big Data Systems using the Hadoop Ecosystem
$9.99 Apress eBook by Kerry Koitzsch. This book covers Hadoop, Data Analytics, Big Data, Scala, Python, Cypher, Gremlin, Neo4j, Unified Analytics, Apache Beam, Apache Falcon, Apache Tika, Apache Mahout.
- Provides useful code examples of real-world situations and solutions to common problems
- Provides an end-to-end example solution which can be expanded upon by the reader
- Gives extensive case studies and application examples from a variety of domains and problem areas
Learn advanced analytical techniques and leverage existing tool kits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation.
Pro Hadoop Data Analytics emphasizes best practices to ensure coherent, efficient development. A complete example system will be developed using standard third-party components that consist of the tool kits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.
The book also highlights the importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. You’ll discover the importance of mix-and-match or hybrid systems, using different analytical components in one application. This hybrid approach will be prominent in the examples.
What You’ll Learn
- Build big data analytic systems with the Hadoop ecosystem
- Use libraries, tool kits, and algorithms to make development easier and more effective
- Apply metrics to measure performance and efficiency of components and systems
- Connect to standard relational databases, noSQL data sources, and more
- Follow case studies with example components to create your own systems
Who This Book Is For
Software engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.
About the Author
Kerry Koitzsch is a software engineer and interested in the early history of science, particularly chemistry. He frequently publishes papers and attends conferences on scientific and historical topics, including early chemistry and alchemy, and sociology of science. He has presented many lectures, talks, and demonstrations on a variety of subjects for the United States Army, the Society for Utopian Studies, American Association for Artificial Intelligence (AAAI), Association for Studies in Esotericism (ASE), and others. He has also published several papers and written two historical books.
Kerry was educated at Interlochen Arts Academy, MIT, and the San Francisco Conservatory of Music. He served in the United States Army and United States Army Reserve, and is the recipient of the United States Army Achievement Medal. He has been a software engineer specializing in computer vision, machine learning, and database technologies for 30 years, and currently lives and works in Sunnyvale, California.
50% off Half Off All MEAPS
50% off Manning’s eBook Half Off All MEAPS.
Use code HALLOWEENMEAP50 at checkout before this deal expires.
Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis
Software Design X-Rays Fix Technical Debt with Behavioral Code Analysis by Adam Tornhill. This book covers Software Design, Technical Debt, CodeScene, Conway’s Law, Modular Monoliths, Refactor.
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that’s just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code!
About this Title
Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can’t get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions.
In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization toward better code.
If you’re an experienced programmer, software architect, or technical manager, you’ll get a new perspective that will change how you work with code.
What You Need
You don’t have to install anything to follow along in the book. The case studies in the book use well-known open source projects hosted on GitHub. You’ll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
About the Author
Adam Tornhill is a programmer who combines degrees in engineering and psychology. He’s the founder of Empear, where he designs tools for software analysis. Adam is the author of Your Code as a Crime Scene, Lisp for the Web, and Patterns in C. His other interests include modern history, music, and martial arts.
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