ServiceStack 4 Cookbook

Packt Publishing Ltd
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If you are a .NET developer who is looking for a simpler way to build services, this is the book for you. It will show you how to write fast, maintainable APIs that are a pleasure to use and maintain starting from the database to the client and everything in-between.
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About the author

Kyle Hodgson is a software developer based in Toronto, Canada. He was working on full stack web development, but he fell in love with ServiceStack after finishing a large WCF project. He has led the development of several ambitious products for organizations ranging from small start-ups to Fortune 50 enterprises and has been invited to speak at several technology conferences about .NET and JavaScript. Having joined ThoughtWorks in 2012, Kyle is thrilled to be working with some of the smartest minds in software today. You can find his blog at http://www.kylehodgson.com.; Darren Reid is a .NET and JavaScript developer based in Canberra, Australia. He has worked primarily in large enterprise environments, building corporate web applications, and has also contributed to ServiceStack-related products. He received prizes for projects created for GovHack in 2012 and 2013, utilizing the ServiceStack framework. Darren is an accomplished open source advocate and blogger, and his work can be seen at www.layoric.org, where he blogs about advanced ServiceStack and AngularJS topics among other things.
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Additional Information

Publisher
Packt Publishing Ltd
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Published on
Jan 23, 2015
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Pages
444
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ISBN
9781783986576
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Language
English
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Genres
Computers / Programming / Open Source
Computers / Web / General
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Content Protection
This content is DRM free.
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Read Aloud
Available on Android devices
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With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.

Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data

"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

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