r in 24 hours sams teach yourself

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R In 24 Hours Sams Teach Yourself

Author : Andy Nicholls
ISBN : 0672338483
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File Size : 63. 56 MB
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With the open source R programming language and its immense library of packages, you can perform virtually any data analysis task. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to import, manipulate, summarize, model, and plot data with R, formalize analytical code; and build powerful R packages using current best practices. Each short, easy lesson builds on all that's come before: you'll learn all of R's essentials as you create real R solutions. R in 24 hours, Sams Teach Yourself covers the entire data analysis workflow from the viewpoint of professionals whose code must be efficient, reproducible and suitable for sharing with others. You'll learn all this, and much more: Installing and configuring the R environment Creating single-mode and multi-mode data structures Working with dates, times, and factors Using common R functions, and writing your own Importing, exporting, manipulating, and transforming data Handling data more efficiently, and writing more efficient R code Plotting data with ggplot2 and Lattice graphics Building the most common types of R models Building high-quality packages, both simple and complex - complete with data and documentation Writing R classes: S3, S4, and beyond Using R to generate automated reports Building web applications with Shiny Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable going beyond the book to solve a wide spectrum of analytical and statistical problems with R.

R In 24 Hours Sams Teach Yourself

Author : Andy Nicholls
ISBN : 9780134288802
Genre : Computers
File Size : 56. 47 MB
Format : PDF, Mobi
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In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for sharing with others. This book’s straightforward, step-by-step approach teaches you how to import, manipulate, summarize, model, and plot data with R; formalize your analytical code; and build powerful R packages using current best practices. Practical, hands-on examples show you how to apply what you learn. Quizzes and exercises help you test your knowledge and stretch your skills. Learn How To Install, configure, and explore the R environment, including RStudio Use basic R syntax, objects, and packages Create and manage data structures, including vectors, matrices, and arrays Understand lists and data frames Work with dates, times, and factors Use common R functions, and learn to write your own Import and export data and connect to databases and spreadsheets Use the popular tidyr, dplyr and data.table packages Write more efficient R code with profiling, vectorization, and initialization Plot data and extend your graphical capabilities with ggplot2 and Lattice graphics Develop common types of models Construct high-quality packages, both simple and complex Write R classes: S3, S4, and Reference Classes Use R to generate dynamic reports Build web applications with Shiny Register your book at informit.com/register for convenient access to updates and corrections as they become available. This book’s source code can be found at http://www.mango-solutions.com/wp/teach-yourself-r-in-24-hours-book/.

Sams Teach Yourself Adobe R Air Programming In 24 Hours

Author : Michael Tyler Givens
ISBN : 0768685737
Genre : Computers
File Size : 56. 10 MB
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This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Sams Teach Yourself Adobe® AIR™ Programming in 24 Hours Michael Givens Covers version 1.5 of Adobe AIR In just 24 sessions of one hour or less, you will be up and running with Adobe AIR 1.5. Using a straightforward, step-by-step approach, each lesson builds upon a real-world foundation allowing you to learn the essentials of Adobe AIR from the ground up. Step-by-step instructions carefully walk you through the most common Adobe AIR 1.5 tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge of Adobe AIR 1.5. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you alternative ways to do something. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Learn how to… Utilize the AIR SDK Write an AIR application with HTML Write an AIR application with Flash CS3 or Dreamweaver CS3 Write an AIR application with PDF integration Debug an AIR application Distribute an AIR application Use the AIR APIs Leverage server-side features for AIR Michael Givens is the CTO of U Saw It Enterprises, a Web technology consulting firm based in Spring, Texas. He is an Adobe Community Expert and an Adobe Corporate Champion known to share his experience and evangelism of all things Adobe. Certified in ColdFusion 5 and as an Advanced CFMX Developer, he has been using ColdFusion since the days of Allaire Spectra and Flex since it was known as Royale. He is the coauthor of Adobe AIR Programming Unleashed (Sams Publishing) and has written articles for the ColdFusion Developer’s Journal and the Flex Developer’s Journal. He also wrote a digital Short Cut titled Apollo in Flight for Sams Publishing. Michael blogs regularly at www.flexination.info. Category: Programming/Application Development Covers: Adobe AIR User Level: Beginning–Intermediate

Sams Teach Yourself Sap R 3 In 24 Hours

Author : Danielle Larocca
ISBN : 0672316242
Genre : Computers
File Size : 60. 65 MB
Format : PDF, ePub
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The perfect reference for end-users (accounting clerks, sales reps, shipping and receiving clerks, human resources employees, etc.) who merely use SAP as a tool to get their job done. Much of the coverage is aimed at "immediate" material so that end-users can get back to work on their job functions with the SAP software. Chapters on navigation, integration with Microsoft Office, reporting, business process, and performing common tasks will jump start you into getting work done, and accomplishing more immediately.

Sams Teach Yourself Sql In 24 Hours

Author : Ryan Stephens
ISBN : 0132603918
Genre : Computers
File Size : 65. 40 MB
Format : PDF, ePub, Docs
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In just 24 sessions of one hour or less, you’ll learn how to use SQL to build effective databases, efficiently retrieve your data, and manage everything from performance to security! Using this book’s straightforward, step-by-step approach, you’ll learn hands-on through practical examples. Each lesson builds on what you’ve already learned, giving you a strong real-world foundation for success. The authors guide you from the absolute basics to advanced techniques—including views, transactions, Web data publishing, and even powerful SQL extensions for Oracle and Microsoft SQL Server! Step-by-step instructions carefully walk you through the most common SQL tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you easier ways to perform tasks. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Learn how to… Understand what SQL is, how it works, and what it does Define efficient database structures and objects “Normalize” raw databases into logically organized tables Edit relational data and tables with DML Manage database transactions Write effective, well-performing queries Categorize, summarize, sort, group, and restructure data Work with dates and times Join tables in queries, use subqueries, and combine multiple queries Master powerful query optimization techniques Administer databases and manage users Implement effective database security Use views, synonyms, and the system catalog Extend SQL to the enterprise and Internet Master important Oracle and Microsoft SQL Server extensions to ANSI SQL

Sams Teach Yourself Sql In 24 Hours

Author : Ronald R. Plew
ISBN : 0672324423
Genre : Electronic books
File Size : 53. 64 MB
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A new edition of this title is available, ISBN-10: 0672330180 ISBN-13: 9780672330186 Sams Teach Yourself SQL in 24 Hours, Third Editionpresents the key features of SQL (Structured Query Language) in an easy to understand format with updated code examples, notes, diagrams, exercises, and quizzes. New material covers more information on transactions, constructs, embedded databases, and object-oriented programming. In this edition, the authors include examples based on a database like MySQL, a very popular open source database.

Sams Teach Yourself Staroffice For Linux In 24 Hours

Author : Nicholas Wells
ISBN : 0672314126
Genre : Computers
File Size : 82. 56 MB
Format : PDF, Kindle
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Sams Teach Yourself Beginning Databases In 24 Hours

Author : Ronald R. Plew
ISBN : 067232492X
Genre : Computers
File Size : 79. 6 MB
Format : PDF, Kindle
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Discusses how to choose the correct database, how to design a database, how to organize data, how to query and update data, how to create reports, and how to build applications that use databases.

Sams Teach Yourself Adobe Dreamweaver Cs3 In 24 Hours

Author : Betsy Bruce
ISBN : 0672329360
Genre : Computers
File Size : 70. 98 MB
Format : PDF, ePub, Mobi
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A guide to using Adobe Dreamweaver to create web sites covers such topics as adding and manipulating text and images, layout, using forms, and managing the site.

Apache Spark In 24 Hours Sams Teach Yourself

Author : Jeffrey Aven
ISBN : 0672338513
Genre : Computers
File Size : 41. 72 MB
Format : PDF, ePub, Docs
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Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark's amazing speed, scalability, simplicity, and versatility. This book's straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark-now, and for years to come. You'll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you've already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to * Discover what Apache Spark does and how it fits into the Big Data landscape * Deploy and run Spark locally or in the cloud * Interact with Spark from the shell * Make the most of the Spark Cluster Architecture * Develop Spark applications with Scala and functional Python * Program with the Spark API, including transformations and actions * Apply practical data engineering/analysis approaches designed for Spark * Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output * Optimize Spark solution performance * Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) * Leverage cutting-edge functional programming techniques * Extend Spark with streaming, R, and Sparkling Water * Start building Spark-based machine learning and graph-processing applications * Explore advanced messaging technologies, including Kafka * Preview and prepare for Spark's next generation of innovations Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.

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