Advanced R 4 Data Programming and the Cloud: Using Postgresql, Aws, and Shiny (Wiley Matt)(Paperback)

Postgresql: Up and Running: A Practical Guide to the Advanced Open Source Database (Obe Regina O.)(Paperback)

Thinking of migrating to PostgreSQL? This clear, fast-paced introduction helps you understand and use this open source database system. Not only will you learn about the enterprise class features in versions 9.5 to 10, you'll also discover that PostgeSQL is more than a database system--it's an

Beginning R 4: From Beginner to Pro (Wiley Matt)(Paperback)

Programming: Principles and Practice Using C++ (Stroustrup Bjarne)(Paperback)

An Introduction to Programming by the Inventor of C++ Preparation for Programming in the Real World The book assumes that you aim eventually to write non-trivial programs, whether for work in software development or in some other technical field. Focus on Fundamental Concepts and Techniques The

Serverless Architectures on AWS: With Examples Using AWS Lambda (Sbarski Peter)(Paperback)

Summary Serverless Architectures on AWS teaches you how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. Forewords by Patrick Debois (Founder of devopsdays) and Dr. Donald F. Ferguson (Columbia University). Purchase of the print book

Bioinformatics Programming Using Python: Practical Programming for Biological Data (Model Mitchell L.)(Paperback)

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using

Getting Started with Rstudio: An Integrated Development Environment for R (Verzani John)(Paperback)

Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data,

Luminescence: Data Analysis and Modeling Using R (Pagonis Vasilis)(Paperback)

1. Introduction.- 2. Analysis and Modeling of TL Data.- 3. Analysis of Experimental OSL Data.- 4. Dose Response of Dosimetric Materials.- 5. Monte Carlo Simulations With Fixed Time Interval.- 6. Luminescence as a Stochastic Life-and-Death Process.- 7. Delocalized Transitions: The R Package

Advanced Programming in the Unix Environment (Stevens W.)(Paperback)

Practical, in-depth knowledge of the system programming interfaces that drive the UNIX and Linux kernels Building on W. Rich Stevens' pioneering work, this third edition of the classic was updated by Steve Rago, a colleague of Stevens, to reflect technical advances and best practices aligning with

Political Analysis Using R (Monogan III James E.)(Paperback)

Obtaining R and Downloading Packages.- Loading and Manipulating Data.- Visualizing Data.- Descriptive Statistics.- Basic Inferences.- Linear Models and Regression.- Diagnostics.- Generalized Linear Models.- Using Libraries to Apply Advanced Models.- Time Series Analysis.- Linear Algebra with

Programming Aws Lambda: Build and Deploy Serverless Applications with Java (Chapin John)(Paperback)

Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You'll discover how this cloud computing execution model can drastically decrease the complexity in

Programming SmallTalk - Object-Orientation from the Beginning: An Introduction to the Principles of Programming (Brauer Johannes)(Paperback)

A straightforward, step-by-step introduction to clear and elegant object-oriented programming. Using a language that's perfect for this kind of programming, the book has been tested in numerous courses and workshops over ten years.Programming Smalltalk is particularly suited for readers with no

Efficient R Programming: A Practical Guide to Smarter Programming (Gillespie Colin)(Paperback)

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book

Advanced Algorithms and Data Structures (La Rocca Marcello)(Paperback)

Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even

Cloud Native: Using Containers, Functions, and Data to Build Next-Generation Applications (Scholl Boris)(Paperback)

Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you'll get up to speed on patterns for

An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R (Racine Jeffrey S.)(Pevná vazba)

Discovering Statistics Using R (Field Andy)(Paperback)

The R version of Andy Field′s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and

Apache Cordova 4 Programming (Wargo John)(Paperback / softback)

Using Apache Cordova 4, you can leverage native technologies and web standards to quickly build cross-platform apps for most mobile devices. You can deliver a high-end user experience where it matters, while radically simplifying code maintenance and reuse. Apache Cordova 4 Programming is the most

Data Analysis Using Regression and Multilevel Hierarchical Models (Gelman Andrew)(Paperback)

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing

Advanced Excel Reporting for Management Accountants (Blackwood Neale)(Paperback)

The advanced tools accountants need to build automated, reliable, and scalable reports using Excel Learn about the functions that work together to automate many of the processes involved in Management Reporting. See how to take advantage of the many new features of Excel 2007 and 2010. Find out how

Introduction to Scientific Programming and Simulation Using R (Jones Owen)(Pevná vazba)

Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce

Software Architecture for Big Data and the Cloud (Mistrik Ivan)(Paperback)

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale,

Full Stack Serverless: Modern Application Development with React, Aws, and Graphql (Dabit Nader)(Paperback)

Cloud computing is typically associated with backend development and DevOps. But with the rise of serverless technologies and a new generation of services and frameworks, frontend and mobile developers can build robust applications with production-ready features such as authentication and

Applied Spatial Statistics and Econometrics: Data Analysis in R (Kopczewska Katarzyna)(Paperback)

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal

Multi-Agent Oriented Programming: Programming Multi-Agent Systems Using Jacamo (Boissier Olivier)(Pevná vazba)

The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level.A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and