TIBCO Spotfire for Developers

Author: Manuel Xavier

Publisher: Packt Publishing Ltd

ISBN: 1782179844

Category: Computers

Page: 162

View: 4221

A fast-paced, step-by-step guide to creating, manipulating and deploying analytical visualizations using the TIBCO Spotfire Platform.If you are hoping to discover a fast and easy way to develop business intelligence apps with TIBCO Spotfire, this book is ideal for you. You are expected to know the basics of business intelligence, but no prior knowledge of TIBCO Spotfire is required.

TIBCO Architecture Fundamentals

Author: Paul C. Brown

Publisher: Addison-Wesley

ISBN: 9780132762441

Category: Computers

Page: 288

View: 2137

“TIBCO® Architecture Fundamentals is a must-read for anybody involved with the architecture and design of distributed systems, system integration issues, or service-based application design.” —Bert Hooyman, Chief Architect, Europe, for MphasiS (an HP Company) “I would like all the folks on my team to read this, to ensure we are all on the same page with the deliverables that are expected from architecture teams involved in global projects and the role that the TIBCO tools play in implementing these solutions.” —Joseph G. Meyer, Director of Architecture Services and R&D, Citi TIBCO’s product suite comprises a diverse range of components. Each component is specialized for a particular functionality, ranging from basic messaging through services, service orchestration, the management of complex business processes, managing master data across multiple systems, and the interpretation ofmassive streams of events (complex event processing). The architecture series from TIBCO® Press comprises a coordinated set of books for software architects and developers, showing how to combine TIBCO components to design and build real-world solutions. TIBCO® Architecture Fundamentals is the core book for understanding and using the TIBCO product suite. It focuses on the TIBCO ActiveMatrix® product suite and a handful of the other most commonly used components, including the TIBCO Enterprise Message ServiceTM and TIBCO BusinessEventsTM. The book provides a sound basis for applying TIBCO products to solve the most common integration and SOA challenges faced by architects and developers. In addition, it lays the foundation for the more advanced books to be added to the architecture series. Designed to make the material as accessible as possible, the book starts with concrete problems architects and developers face every day, showing how to solve these problems with combinations of TIBCO (and selected third-party) products. In the context of specific design scenarios, it also discusses key concepts and decision trade-offs. To accomplish its practical aims, the book Provides useful techniques for discussing and documenting architectures Presents reference architectures (design patterns) for solving common SOA and system integration problems Describes each problem and solution from both business process and technical perspectives Supplies an overview of the typical solution roles played by different TIBCO products The book largely avoids the code-level detail already available in the product manuals, concentrating instead on blueprints for solving whole classes of problems.

IronPython in Action

Author: Michael J. Foord,Christian Muirhead

Publisher: Manning Publications

ISBN: N.A

Category: Computers

Page: 464

View: 8437

A comprehensive, hands-on introduction to Microsoft's version of Python for the .NET framework. The book shows how to use IronPython with C#, VB.NET, and ASP.NET applications. Readers will use IronPython as a Windows scripting tool, and see how it connects to PowerShell.

Python for R Users

A Data Science Approach

Author: Ajay Ohri

Publisher: John Wiley & Sons

ISBN: 1119126762

Category: Computers

Page: 368

View: 7561

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.

The Two-Second Advantage

How We Succeed by Anticipating the Future--Just Enough

Author: Vivek Ranadivé,Kevin Maney

Publisher: Crown Pub

ISBN: 0307887650

Category: Business & Economics

Page: 256

View: 6014

Explores the science behind the brain's ability to act like a predictive machine, describing how today's computers and businesses are being developed with the same predictive capacities in order to better anticipate customer needs and prevent potential problems.

Guide to Intelligent Data Analysis

How to Intelligently Make Sense of Real Data

Author: Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn

Publisher: Springer Science & Business Media

ISBN: 184882260X

Category: Computers

Page: 394

View: 9679

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Architecting Complex-Event Processing Solutions with TIBCO®

Author: Paul C. Brown

Publisher: Addison-Wesley

ISBN: 0133488330

Category: Computers

Page: 320

View: 3002

"Complex-event processing is simple in principle but hard to do well in practice. This guide presents the principles and motivations for those new to the subject. More importantly, it details the entire thought-landscape of a complete implementation, using TIBCO products as the background. Well worth the read for anyone who is thinking of implementing a complex-event solution. Those who have already implemented one should read it as well, both for another perspective and for a view of the capabilities of the TIBCO products.” —Lloyd Fischer, Senior Software Architect, WellCare Health Plans “This complete guide drives you through the specifics of complex-event processing (CEP) design concepts. The book covers all the fundamental aspects and design phases relevant for any TIBCO CEP project implementation, from design through performance-tuning and deployment. I would highly recommend this book to any reader interested in CEP concepts, although a small amount of TIBCO technology knowledge will let you appreciate it more.” —Antonio Bruno, Infrastructure Account Manager, UBS AG The architecture series from TIBCO® Press comprises a coordinated set of titles for software architects and developers, showing how to combine TIBCO components to design and build real-world solutions. Complex-event processing is required when multiple events occurring throughout an organization must be sensed, analyzed, prioritized, and acted on in real time. Architecting Complex-Event Processing Solutions with TIBCO® shows how to design and architect complex-event processing systems, addressing all their complexities and achieving maximum efficiency and effectiveness, while delivering superior business value. After reading this book, you will be able to Identify opportunities for competitive differentiation through complex-event processing Describe differences between complex-event processing and traditional systems Understand relevant capabilities of the TIBCO BusinessEvents™ product suite Select building-block design patterns for constructing complex-event processing solutions with TIBCO BusinessEvents Address architectural aspects of moving solutions into production Implement proven approaches to designing fault tolerance and high availability Architecting Complex-Event Processing Solutions with TIBCO® is intended for working architects, designers, and developers who want to apply TIBCO products in complex-event processing applications. It is also required reading for anyone seeking TIBCO Certified Architect status.

Agile Analytics

A Value-driven Approach to Business Intelligence and Data Warehousing

Author: Ken Collier

Publisher: Addison-Wesley

ISBN: 032150481X

Category: Business & Economics

Page: 329

View: 9462

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve "back-end" data management, "front-end" business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.

Beginning Power BI

A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

Author: Dan Clark

Publisher: Apress

ISBN: 1484225775

Category: Business & Economics

Page: 348

View: 8510

Analyze your company’s data quickly and easily using Microsoft’s latest tools. You will learn to build scalable and robust data models to work from, clean and combine different data sources effectively, and create compelling visualizations and share them with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This second edition includes new material on advanced uses of Power Query, along with the latest user guidance on the evolving Power BI platform. Beginning Power BI is your hands-on guide to quick, reliable, and valuable data insight. What You'll Learn Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Who This Book Is For Business analysts, database administrators, developers, and other professionals looking to better understand and communicate with data

Neural Network Programming with Java

Author: Fabio M. Soares,Alan M. F. Souza

Publisher: Packt Publishing Ltd

ISBN: 1787122972

Category: Computers

Page: 270

View: 3474

Create and unleash the power of neural networks by implementing professional Java code About This Book Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi-platform feature to run your personal neural networks everywhere This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This book is for Java developers who want to know how to develop smarter applications using the power of neural networks. Those who deal with a lot of complex data and want to use it efficiently in their day-to-day apps will find this book quite useful. Some basic experience with statistical computations is expected. What You Will Learn Develop an understanding of neural networks and how they can be fitted Explore the learning process of neural networks Build neural network applications with Java using hands-on examples Discover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the data Apply the code generated in practical examples, including weather forecasting and pattern recognition Understand how to make the best choice of learning parameters to ensure you have a more effective application Select and split data sets into training, test, and validation, and explore validation strategies In Detail Want to discover the current state-of-art in the field of neural networks that will let you understand and design new strategies to apply to more complex problems? This book takes you on a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java, giving you everything you need to stand out. You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using practical examples. Further on, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time. All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience. Style and approach This book takes you on a steady learning curve, teaching you the important concepts while being rich in examples. You'll be able to relate to the examples in the book while implementing neural networks in your day-to-day applications.

Node.js Design Patterns

Author: Mario Casciaro,Luciano Mammino

Publisher: Packt Publishing Ltd

ISBN: 1785887386

Category: Computers

Page: 526

View: 9903

Get the best out of Node.js by mastering its most powerful components and patterns to create modular and scalable applications with ease About This Book Create reusable patterns and modules by leveraging the new features of Node.js . Understand the asynchronous single thread design of node and grasp all its features and patterns to take advantage of various functions. This unique guide will help you get the most out of Node.js and its ecosystem. Who This Book Is For The book is meant for developers and software architects with a basic working knowledge of JavaScript who are interested in acquiring a deeper understanding of how to design and develop enterprise-level Node.js applications. Basic knowledge of Node.js is also helpful to get the most out of this book. What You Will Learn Design and implement a series of server-side JavaScript patterns so you understand why and when to apply them in different use case scenarios Become comfortable with writing asynchronous code by leveraging constructs such as callbacks, promises, generators and the async-await syntax Identify the most important concerns and apply unique tricks to achieve higher scalability and modularity in your Node.js application Untangle your modules by organizing and connecting them coherently Reuse well-known techniques to solve common design and coding issues Explore the latest trends in Universal JavaScript, learn how to write code that runs on both Node.js and the browser and leverage React and its ecosystem to implement universal applications In Detail Node.js is a massively popular software platform that lets you use JavaScript to easily create scalable server-side applications. It allows you to create efficient code, enabling a more sustainable way of writing software made of only one language across the full stack, along with extreme levels of reusability, pragmatism, simplicity, and collaboration. Node.js is revolutionizing the web and the way people and companies create their software. In this book, we will take you on a journey across various ideas and components, and the challenges you would commonly encounter while designing and developing software using the Node.js platform. You will also discover the "Node.js way" of dealing with design and coding decisions. The book kicks off by exploring the basics of Node.js describing it's asynchronous single-threaded architecture and the main design patterns. It then shows you how to master the asynchronous control flow patterns,and the stream component and it culminates into a detailed list of Node.js implementations of the most common design patterns as well as some specific design patterns that are exclusive to the Node.js world.Lastly, it dives into more advanced concepts such as Universal Javascript, and scalability' and it's meant to conclude the journey by giving the reader all the necessary concepts to be able to build an enterprise grade application using Node.js. Style and approach This book takes its intended readers through a comprehensive explanation to create a scalable and efficient real-time server-side apps.

Big Data, Big Analytics

Emerging Business Intelligence and Analytic Trends for Today's Businesses

Author: Michael Minelli,Michele Chambers,Ambiga Dhiraj

Publisher: John Wiley & Sons

ISBN: 1118239156

Category: Business & Economics

Page: 224

View: 9165

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

A GUIDE BOOK: SUB-SURFACE DATA MANAGEMENT FOR DATA MANAGERS (OIL & GAS SECTOR) VOLUME -1 SEISMIC

Author: Ahmad Maidinsar

Publisher: Xlibris Corporation

ISBN: 149904402X

Category: Computers

Page: 368

View: 8360

As the oil and gas (O&G) industry grows by leaps and bounds, so do data; kb (kilobyte) -> Yb (Yottabyte). This book is specifically written for O&G Data Management personnel and Earth Sciences majoring students who will juggle and grapple with seismic data on a routine basis during the course of their career or study. The step by step methodology, though seems orthodox, has been revisited so as to ensure no unnecessary repetition of work. The book will pave the way for O&G Data Management personnel to have a firm grip in handling seismic data entrusted to them, and to deal with the data in a professional way with no "cutting corners". It must be noted that when dealing with seismic data management, the word "novice" is not in the work vocabulary. Throughout this book, O&G Data Management personnel get to understand the basics of the seismic data and their management, and acquire additional skill that can be applied to any sub-surface data management with minimal changes to the workflow Yottabyte — The biggest storage capacity defined by Julian Bunn ET el in the GIOD project

Learning RStudio for R Statistical Computing

Author: Mark P. J. Van der Loo

Publisher: Packt Publishing Ltd

ISBN: 1782160612

Category: Computers

Page: 126

View: 3654

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quickly achieve this using RStudio.

Pandas Cookbook

Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Author: Theodore Petrou

Publisher: Packt Publishing Ltd

ISBN: 1784393347

Category: Computers

Page: 538

View: 7320

Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysis About This Book Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas Who This Book Is For This book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter. Many advanced recipes combine several different features across the pandas library to generate results. Style and approach The author relies on his vast experience teaching pandas in a professional setting to deliver very detailed explanations for each line of code in all of the recipes. All code and dataset explanations exist in Jupyter Notebooks, an excellent interface for exploring data.

Storytelling with Data

A Data Visualization Guide for Business Professionals

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002265

Category: Mathematics

Page: 288

View: 8521

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Data Visualization

A Successful Design Process

Author: Andy Kirk

Publisher: Packt Publishing Ltd

ISBN: 1849693471

Category: Computers

Page: 206

View: 1463

A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.

Big Data Application Architecture Q&A

A Problem - Solution Approach

Author: Nitin Sawant,Himanshu Shah

Publisher: Apress

ISBN: 1430262931

Category: Computers

Page: 172

View: 4949

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.

wxPython Application Development Cookbook

Author: Cody Precord

Publisher: Packt Publishing Ltd

ISBN: 1785288792

Category: Computers

Page: 264

View: 4735

Over 80 step-by-step recipes to get you up to speed with building your own wxPython applications About This Book This book empowers you to create rich cross-platform graphical user interfaces using Python It helps you develop applications that can be deployed on Windows, OSX, and Linux The recipes in the book involve real-world applications, giving you a first-hand experience of the practical scenarios Who This Book Is For For those who are familiar with programming in Python and want to start building applications with graphical user interfaces, this book will get you up and running quickly. A basic understanding of the Python programming language and object-oriented concepts are all that is needed. What You Will Learn Create full featured user interfaces Design and develop custom controls Deploy and distribute wxPython applications to Windows, Macintosh OS X, Linux, and other UNIX-like environments Handle and respond to application events Manage and display data using grids Interact with web services from your GUI Use Paint events to draw custom displays Support the display of user interfaces in multiple languages In Detail wxPython is a GUI toolkit for the Python programming language built on top of the cross-platform wxWidgets GUI libraries. wxPython provides a powerful set of tools that allow you to quickly and efficiently building applications that can run on a variety of different platforms. Since wxWidgets provides a wrapper around each platform's native GUI toolkit, the applications built with wxPython will have a native look and feel wherever they are deployed. This book will provide you with the skills to build highly functional and native looking user interfaces for Python applications on multiple operating system environments. By working through the recipes, you will gain insights into and exposure to creating applications using wxPython. With a wide range of topics covered in the book, there are recipes to get the most basic of beginners started in GUI programming as well as tips to help experienced users get more out of their applications. The recipes will take you from the most basic application constructs all the way through to the deployment of complete applications. Style and approach This book is a collection of step-by-step recipes that introduce the various components and concepts of wxPython in a conversational and easy-to-follow way. Each recipe contains coded examples along with detailed explanations about the key points of each topic. Each topic is designed to introduce and show you how to use a single feature from the wxPython library.

IBM SPSS Modeler Cookbook

Author: Keith McCormick,Dean Abbott,Meta S. Brown

Publisher: Packt Pub Limited

ISBN: 9781849685467

Category: Computers

Page: 382

View: 5952

This is a practical cookbook with intermediate-advanced recipes for SPSS Modeler data analysts. It is loaded with step-by-step examples explaining the process followed by the experts.If you have had some hands-on experience with IBM SPSS Modeler and now want to go deeper and take more control over your data mining process, this is the guide for you. It is ideal for practitioners who want to break into advanced analytics.