Author: Paul Teetor Publisher: O'Reilly Media ISBN: 144930737X Category : Computers Languages : en Pages : 436
Book Description
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 functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build 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
Author: Luigi Fugaro Publisher: Packt Publishing Ltd ISBN: 1784396044 Category : Computers Languages : en Pages : 604
Book Description
With the increasing demand for distributed systems for Java applications, WildFly offers a robust platform on which to deploy and manage your services. As a matter of fact, WildFly 9 is a fully certified Java EE 7 platform and provides remote management tools, such as the redesigned Admin Console and the new and powerful Command Line Interface (CLI). With practical and accessible material, you will begin by learning to set up your WildFly runtime environment, and progress to selecting appropriate operational models, managing subsystems, and conquering the CLI. You will then walk through the different balancing and clustering techniques, simultaneously learning about role-based access control and then developing applications targeting WildFly and Docker.
Author: Tiago Antao Publisher: Packt Publishing Ltd ISBN: 1783558652 Category : Computers Languages : en Pages : 306
Book Description
If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science. Using the hands-on recipes in this book, you'll be able to do practical research and analysis in computational biology with Python. We cover modern, next-generation sequencing libraries and explore real-world examples on how to handle real data. The main focus of the book is the practical application of bioinformatics, but we also cover modern programming techniques and frameworks to deal with the ever increasing deluge of bioinformatics data.
Author: Paul Teetor Publisher: "O'Reilly Media, Inc." ISBN: 1449307264 Category : Computers Languages : en Pages : 438
Book Description
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 functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build 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
Author: Michael A Kittel Publisher: "O'Reilly Media, Inc." ISBN: 0596553390 Category : Computers Languages : en Pages : 1016
Book Description
Completely revised for ASP.NET 2.0, this new edition of the best-selling ASP.NET Cookbook has everything you need to go from beginning to advanced Windows-based web site development using Microsoft's popular Visual Studio 2005 and ASP.NET 2.0 developer tools. Written for the impatient professional, ASP.NET 2.0 Cookbook contains more than 125 recipes for solving common and not-so-common problems you are likely to encounter when building ASP.NET-based web applications. The recipes in this book, which run the gamut from simple coding techniques to more comprehensive development strategies, are presented in the popular Problem-Solution-Discussion format of the O'Reilly Cookbook series. As with the first edition, every solution is coded in both C# and Visual Basic 2005. Among the additions and revisions to this new edition are: Three new chapters, including 25 new recipes for Master and Content pages, Personalization using Profiles and Themes, Custom Web Parts, and more New code for every solution, rewritten to take advantage of features and techniques new to ASP.NET 2.0 and available for download The ASP.NET 2.0 Cookbook continues to provide the most comprehensive coverage you'll find anywhere of: Tabular controls, including the new GridView control Data validation, including the new ASP.NET 2.0 validation controls, as well as techniques for performing your own validation programmatically User and custom controls Error handling, performance tuning, and caching Whether you're new to ASP.NET or an experienced Microsoft developer, with ASP.NET 2.0 Cookbook, deliverance from a long day (or night) at your computer could be just one recipe away.
Author: Michael Heydt Publisher: Packt Publishing Ltd ISBN: 1787286630 Category : Computers Languages : en Pages : 356
Book Description
Untangle your web scraping complexities and access web data with ease using Python scripts Key Features Hands-on recipes for advancing your web scraping skills to expert level One-stop solution guide to address complex and challenging web scraping tasks using Python Understand web page structures and collect data from a website with ease Book Description Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites and proxies. You'll explore a number of real-world scenarios where every part of the development or product life cycle will be fully covered. You will not only develop the skills to design reliable, high-performing data flows, but also deploy your codebase to Amazon Web Services (AWS). If you are involved in software engineering, product development, or data mining or in building data-driven products, you will find this book useful as each recipe has a clear purpose and objective. Right from extracting data from websites to writing a sophisticated web crawler, the book's independent recipes will be extremely helpful while on the job. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web spidering, working with AJAX websites, and paginated items. You will also understand to tackle problems such as 403 errors, working with proxy, scraping images, and LXML. By the end of this book, you will be able to scrape websites more efficiently and deploy and operate your scraper in the cloud. What you will learn Use a variety of tools to scrape any website and data, including Scrapy and Selenium Master expression languages, such as XPath and CSS, and regular expressions to extract web data Deal with scraping traps such as hidden form fields, throttling, pagination, and different status codes Build robust scraping pipelines with SQS and RabbitMQ Scrape assets like image media and learn what to do when Scraper fails to run Explore ETL techniques of building a customized crawler, parser, and convert structured and unstructured data from websites Deploy and run your scraper as a service in AWS Elastic Container Service Who this book is for This book is ideal for Python programmers, web administrators, security professionals, and anyone who wants to perform web analytics. Familiarity with Python and basic understanding of web scraping will be useful to make the best of this book.
Author: Victor A. Bloomfield Publisher: CRC Press ISBN: 1439884498 Category : Mathematics Languages : en Pages : 359
Book Description
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R’s powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
Author: Paul Teetor Publisher: "O'Reilly Media, Inc." ISBN: 1449303234 Category : Computers Languages : en Pages : 56
Book Description
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
Author: Paul Teetor
Author: Luigi Fugaro
Author: Paul DuBois
Author: Tiago Antao
Author: Michael A. Kittel
Author: Paul Teetor
Author: Michael A Kittel
Author: Michael Heydt
Author: Victor A. Bloomfield
Author: Paul Teetor