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Learning Python Data Visualization
by Chad AdamsIf you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
Learning Python Design Patterns
by Gennadiy ZlobinThis book takes a tutorial-based and user-friendly approach to covering Python design patterns. Its concise presentation means that in a short space of time, you will get a good introduction to various design patterns.If you are an intermediate level Python user, this book is for you. Prior knowledge of Python programming is essential. Some knowledge of UML is also required to understand the UML diagrams which are used to describe some design patterns.
Learning Python Design Patterns - Second Edition
by Chetan GiridharLeverage the power of Python design patterns to solve real-world problems in software architecture and design About This Book * Understand the structural, creational, and behavioral Python design patterns * Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development * Get practical exposure through sample implementations in Python v3.5 for the design patterns featured Who This Book Is For This book is for Software architects and Python application developers who are passionate about software design. It will be very useful to engineers with beginner level proficiency in Python and who love to work with Python 3.5 What You Will Learn * Enhance your skills to create better software architecture * Understand proven solutions to commonly occurring design issues * Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle and the Open Close principle among others * Delve into the object-oriented programming concepts and find out how they are used in software applications * Develop an understanding of Creational Design Patterns and the different object creation methods that help you solve issues in software development * Use Structural Design Patterns and find out how objects and classes interact to build larger applications * Focus on the interaction between objects with the command and observer patterns * Improve the productivity and code base of your application using Python design patterns In Detail With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns. Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python's latest release, Python v3.5. We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Facade patterns in detail. After this, we'll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns. By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development. Style and approach This is an easy-to-follow guide to design patterns with hands-on examples of real-world scenarios and their implementation in Python v3.5. Each topic is explained and placed in context, and for the more inquisitive, there are more details on the concepts used.
Learning Python for Forensics
by Chapin Bryce Preston MillerLearn the art of designing, developing, and deploying innovative forensic solutions through Python About This Book * This practical guide will help you solve forensic dilemmas through the development of Python scripts * Analyze Python scripts to extract metadata and investigate forensic artifacts * Master the skills of parsing complex data structures by taking advantage of Python libraries Who This Book Is For If you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming What You Will Learn * Discover how to perform Python script development * Update yourself by learning the best practices in forensic programming * Build scripts through an iterative design * Explore the rapid development of specialized scripts * Understand how to leverage forensic libraries developed by the community * Design flexibly to accommodate present and future hurdles * Conduct effective and efficient investigations through programmatic pre-analysis * Discover how to transform raw data into customized reports and visualizations In Detail This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer. Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner. Style and approach The book begins by instructing you on the basics of Python, followed by chapters that include scripts targeted for forensic casework. Each script is described step by step at an introductory level, providing gradual growth to demonstrate the available functionalities of Python.
Learning Python for Forensics - Second Edition: Leverage the power of Python in forensic investigations, 2nd Edition
by Preston Miller Chapin BryceIf you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming
Learning Python Network Programming
by M. O. Faruque Sarker Sam Washington<P><P>Utilize Python 3 to get network applications up and running quickly and easily <P><P>About This Book <P><P>Leverage your Python programming skills to build powerful network applications <P><P>Explore steps to interact with a wide range of network services <P><P>Design multithreaded and event-driven architectures for echo and chat servers <P><P>Who This Book Is For <P><P>If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. Basic knowledge of Python is assumed. <P><P>What You Will Learn <P><P>Develop an understanding of network stacks and the power of encapsulation <P><P>Design high-performance network server applications Implement socket-based network applications using asynchronous models <P><P>Build client applications for major web APIs, including Amazon S3 and Twitter <P><P>Interact with e-mail servers using SMTP, POP3, and IMAP protocols <P><P>Deal with remote network servers using SSH, FTP, SNMP, SMB/CIFS, and LDAP protocols <P><P>Work with IP addresses including Geo-IP lookups <P><P>Download objects from the Web and craft custom HTTP requests with urllib and the Requests library <P><P>In Detail <P><P>Network programming has always been a demanding task. With full-featured and well documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. <P><P>Starting with a walkthrough of today's major networking protocols, with this book you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the Web. You'll utilize Python for e-mailing using different protocols and you'll interact with remote systems and IP and DNS networking. <P><P>As the book progresses, socket programming will be covered, followed by how to design servers and the pros and cons of multithreaded and event-driven architectures. You'll develop practical client-side applications, including web API clients, e-mail clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks.
Learning Python Network Programming
by Dr M. Sarker Sam WashingtonIf you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. Basic knowledge of Python is assumed.
Learning Python Networking: A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible , 2nd Edition
by Sam Washington Jose Manuel Ortega Dr. M. SarkerAchieve improved network programmability and automation by leveraging powerful network programming concepts, algorithms, and tools Key Features Deal with remote network servers using SSH, FTP, SNMP and LDAP protocols. Design multi threaded and event-driven architectures for asynchronous servers programming. Leverage your Python programming skills to build powerful network applications Book Description Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python. As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks. What you will learn Execute Python modules on networking tools Automate tasks regarding the analysis and extraction of information from a network Get to grips with asynchronous programming modules available in Python Get to grips with IP address manipulation modules using Python programming Understand the main frameworks available in Python that are focused on web application Manipulate IP addresses and perform CIDR calculations Who this book is for If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. If you're a network engineer or a network professional aiming to be more productive and efficient in networking programmability and automation then this book would serve as a useful resource. Basic knowledge of Python is assumed.
Learning Python Testing
by Daniel ArbuckleThis book is ideal if you want to learn about the testing disciplines and automated testing tools from a hands-on, conversational guide. You should already know Python and be comfortable with Python 3.
Learning Python Web Penetration Testing: Automate web penetration testing activities using Python
by Christian MartorellaLeverage the simplicity of Python and available libraries to build web security testing tools for your applicationKey FeaturesUnderstand the web application penetration testing methodology and toolkit using PythonWrite a web crawler/spider with the Scrapy libraryDetect and exploit SQL injection vulnerabilities by creating a script all by yourselfBook DescriptionWeb penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external threats. While there are an increasing number of sophisticated, ready-made tools to scan systems for vulnerabilities, the use of Python allows you to write system-specific scripts, or alter and extend existing testing tools to find, exploit, and record as many security weaknesses as possible. Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers. As you make your way through the book, you will write a web crawler using Python and the Scrappy library. The book will also help you to develop a tool to perform brute force attacks in different parts of the web application. You will then discover more on detecting and exploiting SQL injection vulnerabilities. By the end of this book, you will have successfully created an HTTP proxy based on the mitmproxy tool.What you will learnInteract with a web application using the Python and Requests librariesCreate a basic web application crawler and make it recursiveDevelop a brute force tool to discover and enumerate resources such as files and directoriesExplore different authentication methods commonly used in web applicationsEnumerate table names from a database using SQL injectionUnderstand the web application penetration testing methodology and toolkitWho this book is forLearning Python Web Penetration Testing is for web developers who want to step into the world of web application security testing. Basic knowledge of Python is necessary.
Learning Python with Raspberry Pi
by Alex Bradbury Ben EverardThe must-have companion guide to the Raspberry Pi User Guide!Raspberry Pi chose Python as its teaching language of choice to encourage a new generation of programmers to learn how to program. This approachable book serves as an ideal resource for anyone wanting to use Raspberry Pi to learn to program and helps you get started with the Python programming language. Aimed at first-time developers with no prior programming language assumed, this beginner book gets you up and running.Covers variables, loops, and functionsAddresses 3D graphics programmingWalks you through programming MinecraftZeroes in on Python for scriptingLearning Python with Raspberry Pi proves itself to be a fantastic introduction to coding.
Learning QGIS 2.0
by Anita GraserA short book with a lot of hands-on examples to help you learn in a practical way.This book is great for users, developers, and consultants who know the basic functions and processes of a GIS but want to know how to use QGIS to achieve the results they are used to a full-fledged GIS.
Learning QGIS - Second Edition
by Anita GraserThis book is great for users, developers, and consultants who know the basic functions and processes of GIS but want to learn to use QGIS to analyze geospatial data and create rich mapping applications. If you want to take advantage of the wide range of functionalities that QGIS offers, then this is the book for you.
Learning QGIS - Third Edition
by Anita GraserThe latest guide to using QGIS 2.14 to create great maps and perform geoprocessing tasks with ease About This Book * Learn how to work with various data and create beautiful maps using this easy-to-follow guide. * Give a touch of professionalism to your maps both for functionality and look and feel with the help of this practical guide. * A progressive hands-on guide that builds on a geo-spatial data and adds more reactive maps by using geometry tools. Who This Book Is For This book is great for users, developers, and consultants who know the basic functions and processes of GIS and want to learn to use QGIS to analyze geospatial data and create rich mapping applications. If you want to take advantage of the wide range of functionalities that QGIS offers, then this is the book for you. What You Will Learn * Install QGIS and get familiar with the user interface * Load vector and raster data from files, databases, and web services * Create, visualize, and edit spatial data * Perform geoprocessing tasks and automate them * Create advanced cartographic outputs * Design great print maps * Expand QGIS using Python In Detail QGIS is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The popularity of open source geographic information systems and QGIS in particular has been growing rapidly over the last few years. Learning QGIS Third Edition is a practical, hands-on guide updated for QGIS 2.14 that provides you with clear, step-by-step exercises to help you apply your GIS knowledge to QGIS. Through clear, practical exercises, this book will introduce you to working with QGIS quickly and painlessly. This book takes you from installing and configuring QGIS to handling spatial data to creating great maps. You will learn how to load and visualize existing spatial data and create data from scratch. You will get to know important plugins, perform common geoprocessing and spatial analysis tasks and automate them with Processing. We will cover how to achieve great cartographic output and print maps. Finally, you will learn how to extend QGIS using Python and even create your own plugin. Style and approach A step by step approach to explain concepts of Geospatial map with the help of real life examples
Learning Qlik® Sense: The Official Guide
by Christopher Ilacqua Henric CronstromLearning Qlik® Sense is for anyone seeking to understand and utilize the revolutionary new approach to business intelligence offered by Qlik Sense. Familiarity with the basics of business intelligence will be helpful when picking up this book, but not essential.
Learning Qlik Sense®: The Official Guide - Second Edition
by Christopher Ilacqua Henric Cronstrom James RichardsonGet the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense team About This Book * Updated with new coverage on Qlik Cloud, Qlik Sense Modeling, and Extending the Qlik Analytic Platform. * Get insider insight on Qlik Sense and its new approach to business intelligence * Explore practical demonstrations for utilizing Qlik Sense to discover data for sales, human resources, and more Who This Book Is For Learning Qlik Sense®: The Official Guide Second Edition is for anyone seeking to understand and utilize the revolutionary new approach to business intelligence offered by Qlik Sense. Familiarity with the basics of business intelligence will be helpful when picking up this book, but not essential. What You Will Learn * Understand the vision behind the creation of Qlik Sense, and the promise that data discovery offers to you and your organization * Get to grips with the life cycle of a Qlik Sense application * Load and manage your data for app creation * Visualize your data with Qlik Sense's engaging and informative graphing * Administer your Qlik Sense system and monitor its security * Build efficient and responsive Associative Models * Extend the Qlik Analytic Platform with the Dev Hub * Optimize Qlik Sense for sales, human resources, and demographic data discovery In Detail The intuitive and powerful Qlik Sense visual analytics software allows anyone to engage in data discovery, to explore your data, and find meaningful insights to empower your business. Qlik Sense lets you easily create personalized reports and visualizations and reveal essential connections to show new opportunities from every angle. Written by members of the Qlik Sense team, this book is the official guide from Qlik to understanding and using their powerful new product with fully updated coverage to the latest features of the most modern edition of Qlik Sense. Benefit from the vision behind the development of Qlik Sense and get to grips with how Qlik Sense can empower you as a data discovery consumer. Learn how to create your own applications for Qlik Sense to customize it to meet your personal needs for business intelligence, and how to oversee and administer the Qlik Sense data architecture. Finally, explore utilizing Qlik Sense to uncover essential data, with practical examples on finding and visualizing intelligence for sales figures, human resources information, travel expense tracking, and demographic data discovery. Style and approach This book is a practical guide to understand what Qlik Sense is and how to implement it. This is an example-rich, step-by-step book to implement and optimize Qlik Sense for sales, human resources, and demographic data discovery.
Learning Qlikview Data Visualization
by Karl PoverA practical and fast-paced guide that gives you all the information you need to start developing charts from your data.Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any previous knowledge of QlikView. Experience with spreadsheet software will help you understand QlikView functions.
Learning Quantitative Finance with R
by Prashant Vats Dr Param JeetImplement machine learning, time-series analysis, algorithmic trading and more About This Book • Understand the basics of R and how they can be applied in various Quantitative Finance scenarios • Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. • Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is For If you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required. What You Will Learn • Get to know the basics of R and how to use it in the field of Quantitative Finance • Understand data processing and model building using R • Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis • Build and analyze quantitative finance models using real-world examples • How real-life examples should be used to develop strategies • Performance metrics to look into before deciding upon any model • Deep dive into the vast world of machine-learning based trading • Get to grips with algorithmic trading and different ways of optimizing it • Learn about controlling risk parameters of financial instruments In Detail The role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R. Style and approach This book introduces you to the essentials of quantitative finance with the help of easy-to-understand, practical examples and use cases in R. Each chapter presents a specific financial concept in detail, backed with relevant theory and the implementation of a real-life example.
Learning Queer Identity in the Digital Age
by Kay SieblerThis book explores, through specific analysis of media representations, personal interviews, and historical research, how the digital environment perpetuates harmful and limiting stereotypes of queerness. Siebler argues that heteronormativity has co-opted queer representations, largely in order to sell goods, surgeries, and lifestyles, reinforcing instead of disrupting the masculine and feminine heterosexual binaries through capitalist consumption. Learning Queer Identity in the Digital Age focuses on different identity populations (gay, lesbian, transgender) and examines the theories (queer, feminist, and media theories) in conjunction with contemporary representations of each identity group. In the twenty-first century, social media, dating sites, social activist sites, and videos/films, are primary educators of social identity. For gay, lesbian, bisexual, transgendered, and transsexual peoples, these digital interactions help shape queer identities and communities.
Learning R: A Step-by-Step Function Guide to Data Analysis
by Richard CottonLearn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
Learning R for Geospatial Analysis
by Michael DormanThis book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software--a working installation of R is all that is necessary to begin.
Learning R Programming
by Kun RenBecome an efficient data scientist with R About This Book * Explore the R language from basic types and data structures to advanced topics * Learn how to tackle programming problems and explore both functional and object-oriented programming techniques * Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Who This Book Is For This is the perfect tutorial for anyone who is new to statistical programming and modeling. Anyone with basic programming and data processing skills can pick this book up to systematically learn the R programming language and crucial techniques. What You Will Learn * Explore the basic functions in R and familiarize yourself with common data structures * Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization * Get acquainted with R's evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression * Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems * Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis * Get to know high performance computing techniques such as parallel computing and Rcpp * Use web scraping techniques to extract information * Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more In Detail R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. Style and approach Developed to make learning easy and intuitive, this book comes packed with a wide variety of statistical and graphical techniques and a wealth of practical information for anyone looking to get started with this exciting and powerful language.
Learning RabbitMQ
by Martin ToshevBuild and optimize efficient messaging applications with ease About This Book * Learn to administer, configure, and manage RabbitMQ instances * Discover ways to secure and troubleshoot RabbitMQ instances * This book is fully up-to-date with all the latest changes to version 3.5 Who This Book Is For If you are a developer or system administrator with a basic knowledge of messaging who wants to learn RabbitMQ, or if you want to further enhance your knowledge in working with the message broker, then this book is ideal for you. To fully understand some examples in the book, a basic knowledge of the Java programming language is required. What You Will Learn * Apply messaging patterns using the message broker * Administer RabbitMQ using the command line, management Web console, or management REST services * Create a cluster of scalable, and highly-available, RabbitMQ instances * Use RabbitMQ with the Spring Framework, MuleESB, WSO2, and Oracle databases * Deploy RabbitMQ using Puppet, Vagrant, or Docker * Fine-tune the performance of RabbitMQ * Monitor RabbitMQ using Nagios, Munin, or Monit * Secure, troubleshoot, and extend RabbitMQ In Detail RabbitMQ is Open Source Message Queuing software based on the Advanced Message Queue Protocol Standard written in the Erlang Language. RabbitMQ is an ideal candidate for large-scale projects ranging from e-commerce and finance to Big Data and social networking because of its ease of use and high performance. Managing RabbitMQ in such a dynamic environment can be a challenging task that requires a good understanding not only of how to work properly with the message broker but also of its best practices and pitfalls. Learning RabbitMQ starts with a concise description of messaging solutions and patterns, then moves on to concrete practical scenarios for publishing and subscribing to the broker along with basic administration. This knowledge is further expanded by exploring how to establish clustering and high availability at the level of the message broker and how to integrate RabbitMQ with a number of technologies such as Spring, and enterprise service bus solutions such as MuleESB and WSO2. We will look at advanced topics such as performance tuning, secure messaging, and the internals of RabbitMQ. Finally we will work through case-studies so that we can see RabbitMQ in action and, if something goes wrong, we'll learn to resolve it in the Troubleshooting section. Style and approach Each chapter of the book is an easy-to-follow guide that expands and builds on the knowledge already gained in previous chapters. Throughout the course of the book, a sample system called the CSN (Corporate Social Network) is used to illustrate the core principles described. At the end of each chapter, there is a Q&A session that covers practical questions that may arise in practice when working with RabbitMQ.
Learning Rails
by Simon St. Laurent Edd DumbillWhile most books written about Rails cater to programmers looking for information on data structures, Learning Rails targets web developers whose programming experience is tied directly to the Web. Rather than begin with the inner layers of a Rails web application--the models and controllers--this unique book approaches Rails development from the outer layer: the application interface. You'll learn how to create something visible with Rails before reaching the more difficult database models and controller code. With Learning Rails, you can start from the foundations of web design you already know, and then move more deeply into Ruby, objects, and database structures. This book will help you: Present web content by building an application with a basic view and a simple controller, while learning Ruby along the way Build forms and process their results, progressing from the simple to the more complex Connect forms to models by setting up a database, and use Rails' ActiveRecord to create code that maps to database structures Use Rails scaffolding to build applications from a view-centric perspective Add common web application elements such as sessions, cookies, and authentication Build applications that combine data from multiple tables Create simple but dynamic interfaces with Rails and Ajax Once you complete Learning Rails, you'll be comfortable working with the Rails web framework, and you'll be well on your way to becoming a Rails guru.
Learning Rails: Live Edition
by Simon St. Laurent Edd DumbillReady to learn Rails? Get up to speed using the framework's latest release. In this Live Edition, Learning Rails has been updated to cover Rails 2.3.5, making it an ideal guide for Rails beginners. Unlike most Rails books, Learning Rails is for web developers, and not for programmers. Rather than begin with the inner layers of a Rails web application -- the models and controllers -- this book approaches Rails development from the outer layer: the view side of an application. You'll start from the foundations of the Web you already know, and learn how to create something visible with Rails before reaching the more difficult database models and controller code. Each chapter includes exercises and review questions so you can test your understanding as you go. Present content by building an application with a basic view and a simple controller, while learning Ruby along the way Build forms and process their results, progressing from simple to more complex Connect forms to models by setting up a database, and use Rails' Active Record to create code that maps to database structures Use Rails scaffolding to build applications from a view-centric perspective Add common web application elements such as sessions, cookies, and authentication Build applications that combine data from multiple tables Create simple but dynamic interfaces with Rails and Ajax O'Reilly Live Edition books give you access to updates to topics in between editions of a book. A Live Edition is an electronic and print-on-demand version of the book that is updated when there is a significant change to the software or technology the book covers, keeping you on top of .X releases or major fixes.