The book is written for PHP developers who wish to learn how to use MVC for application development, using CodeIgniter. No experience of CodeIgniter would be necessary, as this book is for beginning MVC development.This book is written for PHP developers who wish to learn how to use the CodeIgniterMVC framework for application development. No experience of CodeIgniteris necessary, as this book is for beginning MVC development.

This book follows a step-by-step, tutorial-based approach which will teach you how to develop your own super cluster using Raspberry Pi computers quickly and efficiently.Raspberry Pi Super Cluster is an introductory guide for those interested in experimenting with parallel computing at home. Aimed at Raspberry Pi enthusiasts, this book is a primer for getting your first cluster up and running. Basic knowledge of C or Java would be helpful but no prior knowledge of parallel computing is necessary.

A practical, intuitive guide for modeling complex business processes as full-scale applications using the ease and power of Bonita Open Solution.If you are a business application developer looking forward to model business processes intuitively in a workflow, with various conditions and transitions then this book is for you. Basic knowledge of Java or Groovy is necessary to help you develop these applications. Knowledge of HTML and JavaScript/JQuery will be helpful but not mandatory.

A fast-paced, example-based guide to learning how to administrate, monitor, and optimize Apache Solr."Administrating Solr" is for developers and Solr administrators who have a basic knowledge of Solr and who are looking for ways to keep their Solr server healthy and well maintained. A basic working knowledge of Apache Lucene is recommended, but this is not mandatory.

This project-based tutorial gives you a strong foundation and guides you through practical, real-world examples.This book contains valuable insights for both newbies and already established Magento developers. This book is targeted at new and intermediate PHP developers starting afresh with Magento module development.

A tutorial packed with practical examples and screenshots to help you become an expert in architectural visualization using Unity.This book is written for students and professional architects who know how to model buildings in 3D and have a need to turn their design into an interactive model, even if you have never used Unity before. Experience with visualization and programming will be helpful, but is not required to follow along. You will learn all the basics throughout with the help of step-by-step examples. The majority of the examples work fine in any recent version of the Unity software, on Windows or Mac, but occasionally features of the Pro version are required.

Unveil many hidden gems of programming functionally by taking the foundational steps with ElixirAbout This BookExplore the functional paradigms of programming with Elixir through use of helpful examplesConcise step-by-step instructions to teach you difficult technical conceptsBridge the gap between functional programming and ElixirWho This Book Is ForThis book targets developers new to Elixir, as well as Erlang, in order to make them feel comfortable in functional programming with Elixir, thus enabling them to develop more scalable and fault-tolerant applications.Although no knowledge of Elixir is assumed, some programming experience with mainstream Object-Oriented programming languages such a Ruby, Python, Java, C# would be beneficial.What You Will LearnExplore Elixir to create resilient, scalable applicationsCreate fault-tolerant applicationsBecome better acquainted with Elixir code and see how it is structured to build and develop functional programsLearn the basics of functional programmingGain an understanding of effective OTP principlesDesign program-distributed applications and systemsWrite and create branching statements in ElixirLearn to do more with less using Elixir's metaprogrammingBe familiar with the facilities Elixir provides for metaprogramming, macros, and extending the Elixir languageIn DetailElixir, based on Erlang’s virtual machine and ecosystem, makes it easier to achieve scalability, concurrency, fault tolerance, and high availability goals that are pursued by developers using any programming language or programming paradigm. Elixir is a modern programming language that utilizes the benefits offered by Erlang VM without really incorporating the complex syntaxes of Erlang.Learning to program using Elixir will teach many things that are very beneficial to programming as a craft, even if at the end of the day, the programmer isn't using Elixir. This book will teach you concepts and principles important to any complex, scalable, and resilient application. Mostly, applications are historically difficult to reason about, but using the concepts in this book, they will become easy and enjoyable. It will teach you the functional programing ropes, to enable them to create better and more scalable applications, and you will explore how Elixir can help you achieve new programming heights. You will also glean a firm understanding of basics of OTP and the available generic, provided functionality for creating resilient complex systems. Furthermore, you will learn the basics of metaprogramming: modifying and extending Elixir to suite your needs.Style and approach An exploration of functional programming and Elixir with easy to follow examples using Elixir and the functional style. All the topics, concepts, and principles covered are clearly and concisely explained with either code examples or in depth discussions, or both!

Learn the essence of data science and visualization using R in no time at allAbout This BookBecome a pro at making stunning visualizations and dashboards quickly and without hassleFor better decision making in business, apply the R programming language with the help of useful statistical techniques.From seasoned authors comes a book that offers you a plethora of fast-paced techniques to detect and analyze data patternsWho This Book Is ForIf you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.What You Will LearnPerform data preprocessing and basic operations on dataImplement visual and non-visual implementation data exploration techniquesMine patterns from data using affinity and sequential analysisUse different clustering algorithms and visualize themImplement logistic and linear regression and find out how to evaluate and improve the performance of an algorithmExtract patterns through visualization and build a forecasting algorithmBuild a recommendation engine using different collaborative filtering algorithmsMake a stunning visualization and dashboard using ggplot and R shinyIn DetailWith organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world.R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards.By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.Style and approachThis easy-to-follow guide contains hands-on examples of the concepts of data science using R.

Design and develop state-of-the-art applications using Force.com's powerful development platformAbout This BookFlaunt your skillsets by developing complex applications that include demanding concepts such as triggers, Visualforce controllers, batch jobs, and Lightning componentsEarn the gratitude of your colleagues by structuring a project so that multiple developers can work independently of each otherKevin Poorman, the author of the book and a Force.com MVP, shares his years of Force.com knowledge and experience with you through the medium of telling examplesWho This Book Is ForIf you're a Force.com developer with a fundamental understanding of Apex and JavaScript but now want to enhance your skills with tips, tricks, and guidance on the best architectural and engineering practices, then this book is for you.What You Will LearnCreating triggers, and the best practices for writing themDeveloping a number of Visualforce controllers and extensionsIntegrating third-party web APIs into your Apex codeWriting unit tests that cover testing bulk safety, user and profile settings, and negative testsCreating a Lightning component for use in Salesforce1Getting acquainted with various methods for deploying metadata between orgsUsing the Rest sObject API for access to Salesforce objects and data using the REST methodologyLearning about overarching architectural considerations such as naming conventions, testing practices, and data modeling practicesIn DetailForce.com is an extremely powerful, scalable, and secure cloud platform, delivering a complete technology stack, ranging from databases and security to workflow and the user interface. With salesforce.com's Force.com cloud platform, you can build any business application and run it on your servers.The book will help you enhance your skillset and develop complex applications using Force.com. It gets you started with a quick refresher of Force.com's development tools and methodologies, and moves to an in-depth discussion of triggers, bulkification, DML order of operations, and trigger frameworks. Next, you will learn to use batchable and schedulable interfaces to process massive amounts of information asynchronously. You will also be introduced to Salesforce Lightning and cover components—including backend (apex) controllers, frontend (JavaScript) controllers, events, and attributes—in detail.Moving on, the book will focus on testing various apex components: what to test, when to write the tests, and—most importantly—how to test. Next, you will develop a changeset and use it to migrate your code from one org to another, and learn what other tools are out there for deploying metadata. You will also use command-line tools to authenticate and access the Force.com Rest sObject API and the Bulk sObject API; additionally, you will write a custom Rest endpoint, and learn how to structure a project so that multiple developers can work independently of each other without causing metadata conflicts.Finally, you will take an in-depth look at the overarching best practices for architecture (structure) and engineering (code) applications on the Force.com platform.Style and approach A step-by-step tutorial, with plenty of tips and tricks that will help you develop complex Force.com applications.

Design, build, and automate 10 real-world OpenStack administrative tasks with AnsibleAbout This BookAutomate real-world OpenStack cloud operator administrative tasksConstruct a collection of automation code to save time on managing your OpenStack cloudUse this step-by-step tutorial to automate such tasks with AnsibleWho This Book Is ForIf you are an OpenStack-based cloud operator and/or infrastructure administrator and are interested in automating administrative functions, then this book is exactly what you are looking for. Having a functioning OpenStack environment is helpful, but most certainly not necessary.What You Will LearnEfficiently execute OpenStack administrative tasksFamiliarize yourself with how Ansible works and assess the defined best practicesCreate Ansible playbooks and rolesAutomate tasks to customize your OpenStack cloudReview OpenStack automation considerations when automating administrative tasksExamine and automate advanced OpenStack tasks and designated use casesGet a high-level overview of OpenStack and the current production-ready projectsDeep dive into OpenStack CLI tools and find out how to use themIn DetailMost organizations are seeking methods to improve business agility because they have realized just having a cloud is not enough. Being able to improve application deployments, reduce infrastructure downtime, and eliminate daily manual tasks can only be accomplished through some sort of automation.Packed with real-world OpenStack administrative tasks, this book will walk you through working examples and explain how these tasks can be automated using one of the most popular open source automation tools—Ansible.We will start with a brief overview of OpenStack and Ansible and highlight some best practices. Each chapter will provide an introduction to handling various Cloud Operator administration tasks such as creating multiple users/tenants, setting up Multi-Tenant Isolation, customizing your clouds quotas, taking instance snapshots, evacuating compute hosts for maintenance, and running cloud health checks, and a step-by-step tutorial on how to automate these tasks with Ansible.Style and approachThis easy-to-follow reference guide is packed with examples of real-world OpenStack administration tasks; each task is explained in detail and then subsequently turned into automation code.

Leverage the power of D and the vibe.d framework to develop web applications that are incredibly fastAbout This BookUtilize the elegant vibe.d framework to build web applications easily and REST backends with the D programming languageLearn about all components of vibe.d to enhance your web development with DA hands-on guide to the vibe.d framework; from static web pages to template-based, interactive and localized web applications with database access and REST backendsWho This Book Is ForWhether you are new to the world of D, or already have developed applications in D, or if you want to leverage the power of D for web development, then this book is ideal for you. Basic knowledge of core web technologies like HTML 5 is helpful but not required. This book explains the difficult details to speed your web development.What You Will LearnCreate amazingly fast web applications with DUse Diet templates to easily create a web user interfaceUtilize the web framework for interactive applications with input validation and internationalizationAccess a database to provide persistent storage for your applicationExtend your application with a REST interface and access other applications via RESTUnderstand vibe.d’s fiber-based approach to asynchronous I/O and use it for integration of existing componentsCreate GUI applications with vibe.dIn DetailD is a programming language with C-like syntax and static typing. The vibe.d framework builds on powerful D concepts like template meta-programming and compile-time function execution to provide an easy-to-use environment for web applications. The combination of a feature-rich web programming framework with a language compiling to native code solves two common issues in web development today: it accelerates your development and it results in fast, native web applications. Learning the vibe.d framework before you start your application will help you to choose the right features to reach your goal.This book guides you through all aspects of web development with D and the vibe.d framework.Covering the popular operating systems today, this guide starts with the setup of your development system. From the first Hello World-style application you will move on to building static web pages with templates. The concise treatment of web forms will give you all the details about form handling and web security. Using the abstractions of the web framework you will learn how to easily validate user input. Next, you will add database access to your application, providing persistent storage for your data. Building on this foundation, you will expose your component and integrate other components via REST. Learning about the internals of vibe.d you will be able to use low-level techniques such as raw TCP access. The vibe.d concepts can also be used for GUI clients, which is the next topic that you will learn. vibe.d is supported by an active community, which adds new functionality. This comprehensive guide concludes with an overview of the most useful vibe.d extensions and where to find them. It also shows you how to integrate these extensions in your application.The concepts are always illustrated with source code, giving you an insight into how to apply them in your application.Style and approachA tutorial-style guide to develop web applications with D and the vibe.d framework. Each topic is explained in detail and illustrated with source code, providing you with hands-on assistance for your application.

Transition smoothly from Java to the most widely used functional JVM-based language – ClojureAbout This BookWrite apps for the multithreaded world with Clojure’s flavor of functional programmingDiscover Clojure’s features and advantages and use them in your existing projectsThe book is designed so that you’ll be able put to use your existing skills and software knowledge to become a more effective Clojure developerWho This Book Is ForThis book is intended for Java developers, who are looking for a way to expand their skills and understand new paradigms of programming. Whether you know a little bit about functional languages, or you are just getting started, this book will get you up and running with how to use your existing skills in Clojure and functional programming.What You Will LearnUnderstand the tools for the Clojure world and how they relate to Java tools and standards (like Maven)Learn about immutable data structures, and what makes them feasible for everyday programmingWrite simple multi-core programs using Clojure’s core concepts, like atoms, agents and refsUnderstand that in Clojure, code is data, and how to take advantage of that fact by generating and manipulating code with macrosLearn how Clojure interacts with Java, how the class loaders work and how to use Clojure from Java or the other way aroundDiscover a new, more flexible meaning of polymorphism and understand that OOP is not the only way to get itIn DetailWe have reached a point where machines are not getting much faster, software projects need to be delivered quickly, and high quality in software is more demanding as ever.We need to explore new ways of writing software that helps achieve those goals. Clojure offers a new possibility of writing high quality, multi-core software faster than ever, without having to leave your current platform.Clojure for Java developers aims at unleashing the true potential of the Clojure language to use it in your projects. The book begins with the installation and setup of the Clojure environment before moving on to explore the language in-depth. Get acquainted with its various features such as functional programming, concurrency, etc. with the help of example projects. Additionally, you will also, learn how the tooling works, and how it interacts with the Java environment.By the end of this book, you will have a firm grip on Clojure and its features, and use them effectively to write more robust programs.Style and approachAn easy to follow, step-by-step, guide on how to start writing Clojure programs making use of all of its varied features and advantages. As this is a new language, certain new concepts are supported with theoretical section followed by simple projects to help you gain a better understanding and practice of how Clojure works.

Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. It is one of the three big game engines used, alongside Unity and CryEngine. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. With Blueprints in Unreal Engine 4, you’re able to fully leverage the visual aid that Behavior Trees are built on. Rarely has there been an opportunity to prototype powerful Game AI and have immediate control over constructing, *ing, and viewing the response in a live gaming environment. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal Script using C++ as your *ing language through multiple projects. With the knowledge gained through this book, you’ll be able to leverage the benefits of Unreal Engine 4. We’ll start with an introduction to AI, and you’ll learn how it is applied to gaming. Then you’ll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. Furthermore, you will get to know the difference between an AI Controller and a Player Controller. As you progress, you’ll find out how to implement randomness and probability traits. Using Navmesh, we will impart navigation components such as Character Movement, MoveTo Nodes, Settings, and World Objects, and implement behavior trees. You will see different techniques to sense the environment and create your own sensory system, and will implement Steering Behaviors, Path Following, Avoidance, and Projectiles. At the end of the book, we will troubleshoot any issues that might crop up while building the entire game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.

Absorb the knowledge required to utilize, manage, and deploy RethinkDB using Node.js About This Book Make the most of this open source, scalable database—RethinkDB —to ease the construction of web applications Run powerful queries using ReQL, which is the most convenient language to manipulate JSON documents with Develop fully-fledged real-time web apps using Node.js and RethinkDB Who This Book Is For Getting Started with RethinkDB is ideal for developers who are new to RethinkDB and need a practical understanding to start working with it. No previous knowledge of database programming is required, although a basic knowledge of JavaScript or Node.js would be helpful. What You Will Learn Download and install the database on your system Configure RethinkDB’s settings and start using the web interface Import data into RethinkDB Run queries using the ReQL language Create shards, replicas, and RethinkDB clusters Use an index to improve database performance Get to know all the RethinkDB deployment techniques In Detail RethinkDB is a high-performance document-oriented database with a unique set of features. This increasingly popular NoSQL database is used to develop real-time web applications and, together with Node.js, it can be used to easily deploy them to the cloud with very little difficulty. Getting Started with RethinkDB is designed to get you working with RethinkDB as quickly as possible. Starting with the installation and configuration process, you will learn how to start importing data into the database and run simple queries using the intuitive ReQL query language. After successfully running a few simple queries, you will be introduced to other topics such as clustering and sharding. You will get to know how to set up a cluster of RethinkDB nodes and spread database load across multiple machines. We will then move on to advanced queries and optimization techniques. You will discover how to work with RethinkDB from a Node.js environment and find out all about deployment techniques. Finally, we’ll finish by working on a fully-fledged example that uses the Node.js framework and advanced features such as Changefeeds to develop a real-time web application. Style and approach This is a step-by-step book that provides a practical approach to RethinkDB programming, and is explained in a conversational, easy-to-follow style.

Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 About This Book ? Get to grips with the new features introduced in Elastic Stack 6.0 ? Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats ? Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Who This Book Is For This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required. What You Will Learn ? Familiarize yourself with the different components of the Elastic Stack ? Get to know the new functionalities introduced in Elastic Stack 6.0 ? Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging ? Use Kibana to visualize data and tell data stories in real-time ? Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack ? Take your Elastic application to an on-premise or cloud-based production environment In Detail The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. Style and approach This step-by-step guide will show you the Elastic Stack, covering all the components through interactive and easy-to-follow examples. It also includes handy tips.

A beginner's guide to get you up and running with Cassandra, DynamoDB, HBase, InfluxDB, MongoDB, Neo4j, and Redis About This Book ? Covers the basics of 7 NoSQL databases and how they are used in the enterprises ? Quick introduction to MongoDB, DynamoDB, Redis, Cassandra, Neo4j, InfluxDB, and Hbase ? Includes effective techniques for database querying and management Who This Book Is For If you are a budding DBA or a developer who wants to get started with the fundamentals of NoSQL databases, this book is for you. Relational DBAs who want to get insights into the various offerings of popular NoSQL databases will also find this book to be very useful. What You Will Learn ? Understand how MongoDB provides high-performance, high-availability, and automatic scaling ? Interact with your Neo4j instances via database queries, Python scripts, and Java application code ? Get familiar with common querying and programming methods to interact with Redis ? Study the different types of problems Cassandra can solve ? Work with HBase components to support common operations such as creating tables and reading/writing data ? Discover data models and work with CRUD operations using DynamoDB ? Discover what makes InfluxDB a great choice for working with time-series data In Detail This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, InfluxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs. Style and approach This book is a quick-start guide with short and simple introductory content on the seven popular databases.

Simplify real-time data processing by leveraging the power of Apache Kafka 1.0 About This Book ? Use Kafka 1.0 features such as Confluent platforms and Kafka streams to build efficient streaming data applications to handle and process your data ? Integrate Kafka with other Big Data tools such as Apache Hadoop, Apache Spark, and more ? Hands-on recipes to help you design, operate, maintain, and secure your Apache Kafka cluster with ease Who This Book Is For This book is for developers and Kafka administrators who are looking for quick, practical solutions to problems encountered while operating, managing or monitoring Apache Kafka. If you are a developer, some knowledge of Scala or Java will help, while for administrators, some working knowledge of Kafka will be useful. What You Will Learn ? Install and configure Apache Kafka 1.0 to get optimal performance ? Create and configure Kafka Producers and Consumers ? Operate your Kafka clusters efficiently by implementing the mirroring technique ? Work with the new Confluent platform and Kafka streams, and achieve high availability with Kafka ? Monitor Kafka using tools such as Graphite and Ganglia ? Integrate Kafka with third-party tools such as Elasticsearch, Logstash, Apache Hadoop, Apache Spark, and more In Detail Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have. Style and approach Following a cookbook recipe-based approach, we’ll teach you how to solve everyday difficulties and struggles you encounter using Kafka through hands-on examples.

One stop guide to implementing award-winning, and cutting-edge CNN architectures About This Book ? Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques ? Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more ? Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention models Who This Book Is For This book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected. What You Will Learn ? From CNN basic building blocks to advanced concepts understand practical areas they can be applied to ? Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it ? Learn different algorithms that can be applied to Object Detection, and Instance Segmentation ? Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy ? Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more ? Understand the working of generative adversarial networks and how it can create new, unseen images In Detail Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets. Style and approach An easy to follow concise and illustrative guide explaining the core concepts of ConvNets to help you understand, implement and deploy your CNN models quickly.

Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You’ll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python. About This Book ? Hear from these key Python thinkers about the current status of Python, and where it's heading in the future ? Listen to their close thoughts on significant Python topics, such as Python's role in scientific computing, and machine learning ? Understand the direction of Python, and what needs to change for Python 4 Who This Book Is For Python programmers and students interested in the way that Python is used – past and present – with useful anecdotes. It will also be of interest to those looking to gain insights from top programmers. What You Will Learn ? How successful programmers think ? The history of Python ? Insights into the minds of the Python core team ? Trends in Python programming In Detail Each of these twenty Python Interviews can inspire and refresh your relationship with Python and the people who make Python what it is today. Let these interviews spark your own creativity, and discover how you also have the ability to make your mark on a thriving tech community. This book invites you to immerse in the Python landscape, and let these remarkable programmers show you how you too can connect and share with Python programmers around the world. Learn from their opinions, enjoy their stories, and use their tech tips. ? Brett Cannon - former director of the PSF, Python core developer, led the migration to Python 3. ? Steve Holden - tireless Python promoter and former chairman and director of the PSF. ? Carol Willing - former director of the PSF and Python core developer, Project Jupyter Steering Council member. ? Nick Coghlan - founding member of the PSF and Python core developer. ? Jessica McKellar - former director of the PSF and Python activist. ? Marc-André Lemburg - Python core developer and founding member of the PSF. ? Glyph Lefkowitz - founder of Twisted and fellow of the PSF. ? Doug Hellmann - fellow of the PSF, creator of the Python Module of the Week blog, Python community member since 1998. ? Massimo Di Pierro - fellow of the PSF, data scientist and the inventor of web2py. ? Alex Martelli - fellow of the PSF and co-author of Python in a Nutshell. ? Barry Warsaw - fellow of the PSF, Python core developer since 1995, and original member of PythonLabs. ? Tarek Ziadé - founder of Afpy and author of Expert Python Programming. ? Sebastian Raschka - data scientist and author of Python Machine Learning. ? Wesley Chun - fellow of the PSF and author of the Core Python Programming books. ? Steven Lott - Python blogger and author of Python for Secret Agents. ? Oliver Schoenborn - author of Pypubsub and wxPython mailing list contributor. ? Al Sweigart - bestselling author and creator of the Python modules Pyperclip and PyAutoGUI. ? Luciano Ramalho - fellow of the PSF and the author of Fluent Python. ? Mike Bayer - fellow of the PSF, creator of open source libraries including SQLAlchemy. ? Jake Vanderplas - data scientist and author of Python Data Science Handbook. Style and approach This is a book of one-to-one interviews with leading Python programmers and luminaries in the field.

Build, scale, and deploy deep neural network models using the star libraries in Python About This Book ? Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras ? Build, deploy, and scale end-to-end deep neural network models in a production environment ? Learn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and Kubernetes Who This Book Is For This book is for data scientists, machine learning engineers, artificial intelligence engineers, and for all TensorFlow users who wish to upgrade their TensorFlow knowledge and work on various machine learning and deep learning problems. If you are looking for an easy-to-follow guide that underlines the intricacies and complex use cases of machine learning, you will find this book extremely useful. Some basic understanding of TensorFlow is required to get the most out of the book. What You Will Learn ? Master advanced concepts of deep learning such as transfer learning, reinforcement learning, generative models and more, using TensorFlow and Keras ? Perform supervised (classification and regression) and unsupervised (clustering) learning to solve machine learning tasks ? Build end-to-end deep learning (CNN, RNN, and Autoencoders) models with TensorFlow ? Scale and deploy production models with distributed and high-performance computing on GPU and clusters ? Build TensorFlow models to work with multilayer perceptrons using Keras, TFLearn, and R ? Learn the functionalities of smart apps by building and deploying TensorFlow models on iOS and Android devices ? Supercharge TensorFlow with distributed training and deployment on Kubernetes and TensorFlow Clusters In Detail TensorFlow is the most popular numerical computation library built from the ground up for distributed, cloud, and mobile environments. TensorFlow represents the data as tensors and the computation as graphs. This book is a comprehensive guide that lets you explore the advanced features of TensorFlow 1.x. Gain insight into TensorFlow Core, Keras, TF Estimators, TFLearn, TF Slim, Pretty Tensor, and Sonnet. Leverage the power of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Throughout the book, you will obtain hands-on experience with varied datasets, such as MNIST, CIFAR-10, PTB, text8, and COCO-Images. You will learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF Clusters, deploy production models with TensorFlow Serving, and build and deploy TensorFlow models for mobile and embedded devices on Android and iOS platforms. You will see how to call TensorFlow and Keras API within the R statistical software, and learn the required techniques for debugging when the TensorFlow API-based code does not work as expected. The book helps you obtain in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems. By the end of this guide, you will have mastered the offerings of TensorFlow and Keras, and gained the skills you need to build smarter, faster, and efficient machine learning and deep learning systems. Style and approach Step-by-step comprehensive guide filled with advanced, real-world examples to help you master Tensorflow 1.x

Leverage the power of basic Windows PowerShell *s to manage your Exchange messaging environmentAbout This BookGet to grips with Windows PowerShell and how it can be used to manage various aspects of the operating system and applicationsBecome proficient in PowerShell and apply it to manage Exchange infrastructure on-premise or via Exchange Online as part of Office 365Learn to create Windows PowerShell *s to do administrative tasks with this step-by-step, easy-to-follow guideWho This Book Is ForThis book is for administrators with a basic or limited understanding of Windows PowerShell and who want to increase their skill set in managing both the Exchange On Premise and Online environments.What You Will LearnDeep dive into the Windows PowerShell basicsCreate and manage Recipients and permissionsManage Distribution Group members, permissions, and group typesUnderstand Certificates and Role-Based Access Control using real-world examplesReview the usage of email address, address book, and retention policies with examplesLearn to manage Exchange Client Access and Mailbox Server rolesUse PowerShell for auditing and risk management in your Exchange organizationManage a highly available Exchange environment using PowerShellInteract with Exchange through the use of the Exchange Web Services-managed APIIn DetailPowerShell has become one of the most important skills in an Exchange administrator's armory. PowerShell has proved its mettle so widely that, if you're not already starting to learn PowerShell, then you're falling behind the industry. It isn't difficult to learn PowerShell at all. In fact, if you've ever run commands from a CMD prompt, then you'll be able to start using PowerShell straightaway.This book will walk you through the essentials of PowerShell in Microsoft Exchange Server and make sure you understand its nitty gritty effectively.You will first walk through the core concepts of PowerShell and their applications. This book discusses ways to automate tasks and activities that are performed by Exchange administrators and that otherwise take a lot of manual effort.Microsoft Exchange PowerShell Essentials will provide all the required details for Active Directory, System, and Exchange administrators to help them understand Windows PowerShell and build the required *s to manage the Exchange Infrastructure.Style and approachThis book is written with its target audience in mind; concepts are explained and followed by real-life examples. A comprehensive * is provided in each chapter to give you hands-on practice with all the major commands used in it.