Learn from an expert on how use self-adapting and self-healing systems within Docker. About This Book ? Viktor Farcic shows you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Discover how to integrate Docker Flow Monitor with Docker Flow Proxy. ? How to apply Docker self-healing and self-adaptive to both services and infrastructure. Who This Book Is For This book is for professionals experienced with Docker looking to create both self-adapting and self-healing systems using the software. What You Will Learn ? Let Viktor Farcic show you all aspects in the creation of self-adapting and self-healing systems in both a practical and hands-on approach. ? Learn how to choose a successful solution for metrics storage and query, including InfluxDB, Nagios and Sensu, Prometheus and Graphite. ? Understand how to integrate Docker Flow Monitor with Docker Flow Proxy. ? The creation of cluster-wide alerts by creating alerts based on metrics. ? How to apply self-healing and self-adaptive to both services and infrastructure. In Detail Building on The DevOps 2.0 Toolkit and The DevOps 2.1 Toolkit: Docker Swarm, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to explore two new programs, self-adaptive and self-healing systems within Docker. The DevOps 2.2 Toolkit: Self-Sufficient Docker Clusters is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book in the series looks at Docker, the tool designed to make it easier in the creation and running of applications using containers. In this latest entry, Viktor combines theory with a hands-on approach to guide you through the process of creating self-adaptive and self-healing systems. Within this book, Viktor will cover a wide-range of emerging topics, including what exactly self-adaptive and self-healing systems are, how to choose a solution for metrics storage and query, the creation of cluster-wide alerts and what a successful self-sufficient system blueprint looks like. Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker. Style and approach Readers join Viktor Farcic as he continues his exploration of Docker and begins to explore new opportunities with the platform.

Harness the power of React Native to build 4 real-world apps About This Book ? Build quirky and fun projects from scratch and become efficient with React Native ? Learn to build professional Android and iOS applications using your existing JavaScript knowledge ? Use isomorphic principles to build mobile apps that offer a native user experience ? Embedded with assessments that will help you revise the concepts you have learned in this course Who This Book Is For This book is for developers who want to build amazing cross-platform apps with React Native. What You Will Learn ? Structure React Native projects to ease maintenance and extensibility ? Optimize a project to speed up development ? Use external modules to speed up the development and maintenance of your projects ? Explore the different UI and code patterns to be used for iOS and Android ? Get to know the best practices when building apps in React Native In Detail React Native helps web and mobile developers to build cross-platform apps that perform at the same level as any other natively developed app. The range of apps that can be built using this library is huge. From e-commerce to games, React Native is a good fit for any mobile project due to its flexibility and extendable nature. This project-based book consists of four standalone projects. Each project will help you gain a sound understanding of the framework and build mobile apps with native user experience. Starting with a simple standalone car booking app, you will progressively move on to building advanced apps by adding connectivity with external APIs, using native features, such as the camera or microphone, in the mobile device, integrating with state management libraries such as Redux or MobX, or leveraging React Native’s performance by building a full-featured game. This book is ideal for developers who want to build amazing cross-platform apps with React Native. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. Style and approach This project-based book consists of four projects. Each project is a standalone project that covers the core techniques and concepts of React Native. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt products: ? React Native Blueprints by Emilio Rodriguez Martinez

Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef About This Book ? Get acquainted with methodologies and tools of the DevOps framework ? Perform continuous integration, delivery, deployment, and monitoring using DevOps tools ? Explore popular tools such as Git, Jenkins, Maven, Gerrit, Nexus, Selenium, and so on ? Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is for engineers, architects, and developers, who wish to learn the core strategies of DevOps. What You Will Learn ? Get familiar with life cycle models, maturity states, progression and best practices of DevOps frameworks ? Learn to set up Jenkins and integrate it with Git ? Know how to build jobs and perform testing with Jenkins ? Implement infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible ? Understand continuous monitoring process with tools such as Splunk and Nagios ? Learn how Splunk improves the code quality In Detail DevOps is the most widely used software engineering culture and practice that aim sat software development and operation. Continuous integration is a cornerstone technique of DevOps that merges software code updates from developers into a shared central mainline. This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how toper form continuous delivery, integration, and deployment with DevOps. You will explore DevOps process maturity frameworks and progression models with checklist templates for each phase of DevOps. You will also be familiar with agile terminology, methodology, and the benefits accrued by an organization by adopting it. You will also get acquainted with popular tools such as Git, Jenkins ,Maven, Gerrit, Nexus, Selenium, and so on.You will learn configuration, automation, and the implementation of infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible. This book is ideal for engineers, architects, and developers, who wish to learn the core strategies of DevOps. Style and approach This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how to perform continuous delivery, integration, and deployment with DevOps. Note: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product: ? Hands-on DevOps by Sricharan Vadapalli

Run Ansible playbooks to launch complex multi-tier applications hosted in public clouds About This Book ? Build your learning curve using Ansible ? Automate cloud, network, and security infrastructures with ease ? Gain hands-on exposure on Ansible Who This Book Is For Learn Ansible is perfect for system administrators and developers who want to take their current workflows and transform them into repeatable playbooks using Ansible. No prior knowledge of Ansible is required. What You Will Learn ? Write your own playbooks to configure servers running CentOS, Ubuntu, and Windows ? Identify repeatable tasks and write playbooks to automate them ? Define a highly available public cloud infrastructure in code, making it easy to distribute your infrastructure configuration ? Deploy and configure Ansible Tower and Ansible AWX ? Learn to use community contributed roles ? Use Ansible in your day-to-day role and projects In Detail Ansible has grown from a small, open source orchestration tool to a full-blown orchestration and configuration management tool owned by Red Hat. Its powerful core modules cover a wide range of infrastructures, including on-premises systems and public clouds, operating systems, devices, and services—meaning it can be used to manage pretty much your entire end-to-end environment. Trends and surveys say that Ansible is the first choice of tool among system administrators as it is so easy to use. This end-to-end, practical guide will take you on a learning curve from beginner to pro. You'll start by installing and configuring the Ansible to perform various automation tasks. Then, we'll dive deep into the various facets of infrastructure, such as cloud, compute and network infrastructure along with security. By the end of this book, you'll have an end-to-end understanding of Ansible and how you can apply it to your own environments. Style and approach A hands-on approach to give you practical experience of writing playbooks and roles and executing them. At the end of each chapter, you’ll find test questions to test your knowledge on Ansible.

Leverage the power of Apple's Core ML to create smart iOS apps About This Book ? Explore the concepts of machine learning and Apple’s Core ML APIs ? Use Core ML to understand and transform images and videos ? Exploit the power of using CNN and RNN in iOS applications Who This Book Is For Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers. What You Will Learn ? Understand components of an ML project using algorithms, problems, and data ? Master Core ML by obtaining and importing machine learning model, and generate classes ? Prepare data for machine learning model and interpret results for optimized solutions ? Create and optimize custom layers for unsupported layers ? Apply CoreML to image and video data using CNN ? Learn the qualities of RNN to recognize sketches, and augment drawing ? Use Core ML transfer learning to execute style transfer on images In Detail Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of CoreML

Develop and deploy fully functional applications and microservices utilising Tomcat, Glassfish servers, Cloud and docker in Java EE 8 About This Book ? Explore the complete workflow of developing enterprise Java applications ? Develop microservices with Docker Container and deploy it in cloud ? Simplify Java EE application development Who This Book Is For If you are a Java developer with little or no experience in Java EE application development, or if you have experience in Java EE technology but are looking for tips to simplify and accelerate your development process, then this book is for you. What You Will Learn ? Set up Eclipse, Tomcat, and Glassfish servers for Java EE application development ? Use JSP, Servlet, JSF, and EJBs to create a user interface and write business logic ? Create Java EE database applications using JDBC and JPA ? Handle asynchronous messages using MDBs for better scalability ? Deploy and debug Java EE applications and create SOAP and REST web services ? Write unit tests and calculate code coverage ? Use Eclipse MAT (Memory Analysis Tool) to debug memory issues ? Create and deploy microservices In Detail Java EE is one of the most popular tools for enterprise application design and development. With recent changes to Java EE 8 specifications, Java EE application development has become a lot simpler with the new specifications, some of which compete with the existing specifications. This guide provides a complete overview of developing highly performant, robust and secure enterprise applications with Java EE with Eclipse. The book begins by exploring different Java EE technologies and how to use them (JSP, JSF, JPA, JDBC, EJB, and more), along with suitable technologies for different scenarios. You will learn how to set up the development environment for Java EE applications and understand Java EE specifications in detail, with an emphasis on examples. The book takes you through deployment of an application in Tomcat, GlassFish Servers, and also in the cloud. It goes beyond the basics and covers topics like debugging, testing, deployment, and securing your Java EE applications. You'll also get to know techniques to develop cloud-ready microservices in Java EE. Style and approach This guide takes a step-by-step approach to developing, testing, debugging, and troubleshooting Java EE applications, complete with examples and tips.

Create interactive cross-platform games with the Godot Engine 3.0 About This Book ? Learn the art of developing cross-platform games ? Leverage Godot’s node and scene system to design robust, reusable game objects ? Integrate Blender easily and efficiently with Godot to create powerful 3D games Who This Book Is For Godot Engine Game Development Projects is for both new users and experienced developers, who want to learn to make games using a modern game engine. Some prior programming experience is recommended. What You Will Learn ? Get started with the Godot game engine and editor ? Organize a game project ? Import graphical and audio assets ? Use Godot’s node and scene system to design robust, reusable game objects ? Write code in GDScript to capture input and build complex behaviors ? Implement user interfaces to display information ? Create visual effects to spice up your game ? Learn techniques that you can apply to your own game projects In Detail Godot Engine Game Development Projects is an introduction to the Godot game engine and its new 3.0 version. Godot 3.0 brings a large number of new features and capabilities that make it a strong alternative to expensive commercial game engines. For beginners, Godot offers a friendly way to learn game development techniques, while for experienced developers it is a powerful, customizable tool that can bring your visions to life. This book consists of five projects that will help developers achieve a sound understanding of the engine when it comes to building games. Game development is complex and involves a wide spectrum of knowledge and skills. This book can help you build on your foundation level skills by showing you how to create a number of small-scale game projects. Along the way, you will learn how Godot works and discover important game development techniques that you can apply to your projects. Using a straightforward, step-by-step approach and practical examples, the book will take you from the absolute basics through to sophisticated game physics, animations, and other techniques. Upon completing the final project, you will have a strong foundation for future success with Godot 3.0. Style and approach The book is divided into five parts; each covering a different small-game project using a straightforward, step-by-step approach and practical examples. The book will take readers from the absolute basics through sophisticated game physics, animation, and other techniques.

Complement Selenium with useful additions that fit seamlessly into the rich and well-crafted API that Selenium offers About This Book ? Understand the power, simplicity, and limitations of the core Selenium framework ? Write clear, readable, and reliable tests that perform complex test automation tasks ? Work with ChromeDriver and GeckoDriver in headless mode Who This Book Is For If you are a software tester or a developer with working experience in Selenium and competency with Java, who is interested in automation and are looking forward to taking the next step in their learning journey, then this is the book for you. What You Will Learn ? Provide fast, useful feedback with screenshots ? Create extensible, well-composed page objects ? Utilize ChromeDriver and GeckoDriver in headless mode ? Leverage the full power of Advanced User Interactions APIs ? Use JavascriptExecutor to execute JavaScript snippets in the browser through Selenium ? Build user interaction into your test script using JavascriptExecutor ? Learn the basics of working with Appium In Detail The second edition of Mastering Selenium 3.0 WebDriver starts by showing you how to build your own Selenium framework with Maven. You'll then look at how you can solve the difficult problems that you will undoubtedly come across as you start using Selenium in an enterprise environment and learn how to produce the right feedback when failing. Next, you’ll explore common exceptions that you will come across as you use Selenium, the root causes of these exceptions, and how to fix them. Along the way, you’ll use Advanced User Interactions APIs, running any JavaScript you need through Selenium; and learn how to quickly spin up a Selenium Grid using Docker containers. In the concluding chapters, you‘ll work through a series of scenarios that demonstrate how to extend Selenium to work with external libraries and applications so that you can be sure you are using the right tool for the job. Style and approach This book is a pragmatic guide that takes you through the process of creating a test framework with Selenium 3. It then shows you how you can extend this framework to overcome common obstacles that you will come across whilst using Selenium.

Understand malware analysis and its practical implementation About This Book ? Explore the key concepts of malware analysis and memory forensics using real-world examples ? Learn the art of detecting, analyzing, and investigating malware threats ? Understand adversary tactics and techniques Who This Book Is For This book is for incident responders, cyber-security investigators, system administrators, malware analyst, forensic practitioners, student, or curious security professionals interested in learning malware analysis and memory forensics. Knowledge of programming languages such as C and Python is helpful but is not mandatory. If you have written few lines of code and have a basic understanding of programming concepts, you’ll be able to get most out of this book. What You Will Learn ? Create a safe and isolated lab environment for malware analysis ? Extract the metadata associated with malware ? Determine malware's interaction with the system ? Perform code analysis using IDA Pro and x64dbg ? Reverse-engineer various malware functionalities ? Reverse engineer and decode common encoding/encryption algorithms ? Perform different code injection and hooking techniques ? Investigate and hunt malware using memory forensics In Detail Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, infected memory images, and visual diagrams to help you gain a better understanding of the subject and to equip you with the skills required to analyze, investigate, and respond to malware-related incidents. Style and approach The book takes the reader through all the concepts, techniques and tools to understand the behavior and characteristics of malware by using malware analysis and it also teaches the techniques to investigate and hunt malware using memory forensics.

Build a solid foundation in coding by utilizing the language and its core characteristics About This Book ? Leverage the features of Python programming through easy-to-follow examples ? Develop a strong set of programming skills that can be applied on all platforms ? Create GUIs and data science-based applications Who This Book Is For Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book takes you all the way to creating a full-fledged application. What You Will Learn ? Get Python up and running on Windows, Mac, and Linux ? Grasp fundamental concepts of coding using data structures and control flow ? Write elegant, reusable, and efficient code in any situation ? Understand when to use the functional or object-oriented programming (OOP) approach ? Walk through the basics of security and concurrent/asynchronous programming ? Create bulletproof, reliable software by writing tests ? Explore examples of GUIs, scripting, and data science In Detail Learn Python Programming creates a foundation for those who are interested in developing their skills in Python programming. The book starts with the fundamentals of programming with Python and ends by exploring different topics such as GUIs and real-world apps. You will begin by exploring the foundations of and fundamental topics on Python and learn to manipulate them. Then, you'll explore different programming paradigms that will allow you to find the best approach to a situation, and you’ll also understand how to carry out performance optimization as well as effective debugging. As you make your way through the chapters, you'll control the flow of a program, and persist and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Throughout, the book covers various types of applications, and it concludes with building real-world applications based on all the concepts that you learned. By the end of the book, you'll have a proper understanding of the Python language and a solid grasp on how to work with data. You'll know how to quickly build a website and harness the power of Python's renowned data science libraries. Style and approach This easy-to-follow guide will take you from novice to proficient at a comfortable pace, using a lot of simple yet effective examples.

Build and deploy powerful neural network models using the latest Java deep learning libraries About This Book ? Understand DL with Java by implementing real-world projects ? Master implementations of various ANN models and build your own DL systems ? Develop applications using NLP, image classification, RL, and GPU processing Who This Book Is For If you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need! Get ready to build advanced deep learning models to carry out complex numerical computations. Some basic understanding of machine learning concepts and a working knowledge of Java are required. What You Will Learn ? Master deep learning and neural network architectures ? Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs ? Train ML agents to learn from data using deep reinforcement learning ? Use factorization machines for advanced movie recommendations ? Train DL models on distributed GPUs for faster deep learning with Spark and DL4J ? Ease your learning experience through 69 FAQs In Detail Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you’ll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems. Style and approach A unique, learn-as-you-do approach, as the reader builds on his understanding of deep learning with Java progressively with each project. This book is designed in such a way that implementing each project will empower you with a unique skill set, and enable you to implement the next project more confidently.

Learn steps and tasks to help a NetSuite administrator perform both his daily and monthly tasks efficiently. Advance his expertise to become NetSuite leader without having to spend time and money on corporate trainings. About This Book ? Understand the business considerations and implementation of the NetSuite ERP ? Gain a deep knowledge of enterprise security, data management, process automation, and analytics ? Learn techniques to sail through system maintenance while ensuring accuracy and to practically troubleshoot issues Who This Book Is For This book is for administrators, consultants, and Project Managers who would like to improve their skills in the areas of configuration and system management. Basic experience implementing NetSuite is assumed. What You Will Learn ? Provide executives with meaningful insights into the business ? A Framework to streamline the implementation of new and existing features ? Leverage built-in tools to optimize your efficiency and effectiveness ? Test configuration to check the implementation of role-specific permissions ? Understand how to optimize the amount of data to be shared with users ? Import data like new leads and employ current data like pricing updates ? Perform on-going maintenance and troubleshoot issues In Detail NetSuite ERP is a complete, scalable cloud ERP solution targeted at fast-growing, mid-sized businesses and large enterprises. It's the smartly executed combination of financial management operations and built-in business intelligence, which enables companies to make data-driven and well-informed decisions. This book will help administrators become expert enough to be seen as the NetSuite leader at their company and to be able to advise department heads on specific processes, and strategic decisions. We start with an overview of ERP and NetSuite ERP, before going on to explain the built-in features to show the breadth of NetSuite ERP's product and its ease of use. We then discuss business aspects, focusing on the most important processes in NetSuite. Then you'll understand the implementation aspects that are generic enough to cover all the features. The focus then shifts to specific skills that you will need to administer for any system, such as roles, permissions, customization, and data imports. Moving on, you'll learn how to centralize the creation of search templates and give users the tools to pivot the data and expose it to the user in useful ways, such as on the dashboard. The book ends with checklists providing actionable steps that you as an administrator can take to do your job and support the application through new releases and troubleshooting problems. Style and approach A slow and steady introduction of topics from reports through searches with aim to enable the administrator to gain a holistic view of the NetSuite product.

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. About This Book ? Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras ? Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms ? Learn deep learning techniques for text analysis Who This Book Is For This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you! What You Will Learn ? Why text analysis is important in our modern age ? Understand NLP terminology and get to know the Python tools and datasets ? Learn how to pre-process and clean textual data ? Convert textual data into vector space representations ? Using spaCy to process text ? Train your own NLP models for computational linguistics ? Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn ? Employ deep learning techniques for text analysis using Keras In Detail Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. Style and approach The book teaches NLP from the angle of a practitioner as well as that of a student. This is a tad unusual, but given the enormous speed at which new algorithms and approaches travel from scientific beginnings to industrial implementation, first principles can be clarified with the help of entirely practical examples.

Get to grips with the most popular Python packages that make data analysis possible About This Book ? Explore the tools you need to become a data analyst ? Discover practical examples to help you grasp data processing concepts ? Walk through hierarchical indexing and grouping for data analysis Who This Book Is For Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book. What You Will Learn ? Understand how to install and manage Anaconda ? Read, sort, and map data using NumPy and pandas ? Find out how to create and slice data arrays using NumPy ? Discover how to subset your DataFrames using pandas ? Handle missing data in a pandas DataFrame ? Explore hierarchical indexing and plotting with pandas In Detail Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them. By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation. Style and approach A step-by-step approach, taking you through the different concepts and features of Data Analysis using Python libraries and tools.

Learn to design and develop safe and reliable embedded systems About This Book ? Identify and overcome challenges in embedded environments ? Understand the steps required to increase the security of IoT solutions ? Build safety-critical and memory-safe parallel and distributed embedded systems Who This Book Is For If you’re a software developer or designer wanting to learn about embedded programming, this is the book for you. You’ll also find this book useful if you’re a less experienced embedded programmer willing to expand your knowledge. What You Will Learn ? Participate in the design and definition phase of an embedded product ? Get to grips with writing code for ARM Cortex-M microcontrollers ? Build an embedded development lab and optimize the workflow ? Write memory-safe code ? Understand the architecture behind the communication interfaces ? Understand the design and development patterns for connected and distributed devices in the IoT ? Master multitask parallel execution patterns and real-time operating systems In Detail Embedded systems are self-contained devices with a dedicated purpose. We come across a variety of fields of applications for embedded systems in industries such as automotive, telecommunications, healthcare and consumer electronics, just to name a few. Embedded Systems Architecture begins with a bird's eye view of embedded development and how it differs from the other systems that you may be familiar with. You will first be guided to set up an optimal development environment, then move on to software tools and methodologies to improve the work flow. You will explore the boot-up mechanisms and the memory management strategies typical of a real-time embedded system. Through the analysis of the programming interface of the reference microcontroller, you'll look at the implementation of the features and the device drivers. Next, you'll learn about the techniques used to reduce power consumption. Then you will be introduced to the technologies, protocols and security aspects related to integrating the system into IoT solutions. By the end of the book, you will have explored various aspects of embedded architecture, including task synchronization in a multi-threading environment, and the safety models adopted by modern real-time operating systems. Style and approach Software developers and designers with experience in different fields, and who want to learn about embedded programming, will benefit from this book. Junior and less experienced embedded programmers willing to expand their knowledge in the field will also find it useful.

Get up and running with the fundamentals of Amazon Alexa and build exciting IoT projects About This Book ? Gain hands-on experience of working with Amazon Echo and Alexa ? Build exciting IoT projects using Amazon Echo ? Learn about voice-enabled smart devices Who This Book Is For Alexa Skills Projects is for individuals who want to have a deep understanding of the underlying technology that drives Amazon Echo and Alexa, and how it can be integrated with the Internet of Things to develop hands-on projects. What You Will Learn ? Understand how Amazon Echo is already being used in various domains ? Discover how an Alexa Skill is architected ? Get a clear understanding of how some of the most popular Alexa Skills work ? Design Alexa Skills for specific purposes and interact with Amazon Echo to execute them ? Gain experience of programming for Amazon Echo ? Explore future applications of Amazon Echo and other voice-activated devices In Detail Amazon Echo is a smart speaker developed by Amazon, which connects to Amazon’s Alexa Voice Service and is entirely controlled by voice commands. Amazon Echo is currently being used for a variety of purposes such as home automation, asking generic queries, and even ordering a cab or pizza. Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programming concepts such as Intents, Slots, Lambdas and maintaining your skill’s state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications. In the concluding chapters, you will explore the future of voice-enabled applications and their coverage with respect to the Internet of Things. By the end of the book, you will have learned to design Alexa Skills for specific purposes and interact with Amazon Echo to execute these skills. Style and approach A practical guide filled with real world examples that will help you understand the process of creating Alexa Skills from scratch and it's real world applications.

Discover techniques and tools for building serverless applications with AWS Lambda About This Book ? Learn to write, run, and deploy Lambda functions in the AWS cloud ? Make the most of AWS Lambda functions to build scalable and cost-efficient systems ? A practical guide to developing serverless services and applications in Node.js, Java, Python, and C# Who This Book Is For This book is primarily for IT architects and developers who want to build scalable systems and deploy serverless applications with AWS Lambda. No prior knowledge of AWS is necessary. What You Will Learn ? Understand the fundamental concepts of AWS Lambda ? Get to grips with the Serverless Framework and how to create a serverless project ? Testing and debugging Lambda functions ? Create a stateful, serverless backend with DynamoDB ? Program AWS Lambda with Java, Python, and C# ? Program a lambda function with Node.js In Detail AWS Lambda is a part of AWS that lets you run your code without provisioning or managing servers. This enables you to deploy applications and backend services that operate with no upfront cost. This book gets you up to speed on how to build scalable systems and deploy serverless applications with AWS Lambda. The book starts with the fundamental concepts of AWS Lambda, and then teaches you how to combine your applications with other AWS services, such as AmazonAPI Gateway and DynamoDB. This book will also give a quick walk through on how to use the Serverless Framework to build larger applications that can structure code or autogenerate boilerplate code that can be used to get started quickly for increased productivity. Toward the end of the book, you will learn how to write, run, and test Lambda functions using Node.js, Java, Python, and C#. Style and approach This book will provide clear instructions that introduce the viewer to programming AWS Lambda with Node.js, Java, Python, and C#. Moreover, readers will learn how to deploy and test Lambda functions, and how to set up and use the serverless framework.

Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. About This Book ? Build a full-fledged image processing application using JuliaImages ? Perform basic to advanced image and video stream processing with Julia's APIs ? Understand and optimize various features of OpenCV with easy examples Who This Book Is For Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively. What You Will Learn ? Analyze image metadata and identify critical data using JuliaImages ? Apply filters and improve image quality and color schemes ? Extract 2D features for image comparison using JuliaFeatures ? Cluster and classify images with KNN/SVM machine learning algorithms ? Recognize text in an image using the Tesseract library ? Use OpenCV to recognize specific objects or faces in images and videos ? Build neural network and classify images with MXNet In Detail Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it’s easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You’ll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you’ll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. Style and approach Readers will be taken through various packages that support image processing in Julia, and will also tap into open-source libraries such as Open CV and Tesseract to find the optimum solution to problems encountered in computer vision.

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. About This Book ? Grasp the skills needed to write efficient Hive queries to analyze the Big Data ? Discover how Hive can coexist and work with other tools within the Hadoop ecosystem ? Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Who This Book Is For If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book. What You Will Learn ? Create and set up the Hive environment ? Discover how to use Hive's definition language to describe data ? Discover interesting data by joining and filtering datasets in Hive ? Transform data by using Hive sorting, ordering, and functions ? Aggregate and sample data in different ways ? Boost Hive query performance and enhance data security in Hive ? Customize Hive to your needs by using user-defined functions and integrate it with other tools In Detail In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems Style and approach This book takes on a practical approach which will get you familiarized with Apache Hive and how to use it to efficiently to find solutions to your big data problems. This book covers crucial topics like performance, and data security in order to help you make the most of the Hive working environment.

Develop a solid understanding of the important command-line tools and utilities in Linux About This Book ? Delve into the fundamentals of Linux ? Explore and work with virtualization, command lines, and Bash shell scripts ? Use special file permission flags such as setuid and setgid Who This Book Is For Fundamentals of Linux is for individuals looking to work as a Linux system administrator. What You Will Learn ? Explore basic and advanced command-line concepts ? Install Linux, work with VirtualBox, and install CentOS 7 in VirtualBox ? Work with the command line efficiently and learn how to navigate through the Linux filesystem ? Create file and user group permissions and edit files ? Use Sticky bit to secure your Linux filesystem ? Define and remove ACL from Linux files In Detail Linux is a Unix-like operating system assembled under the model of free and open source software development and distribution. Fundamentals of Linux will help you learn all the essentials of the Linux command line required to get you started. The book will start by teaching you how to work with virtualization software and install CentOS 7 Linux as a VM. Then, you will get to grips with the workings of various command line operations, such as cursor movement, commands, options, and arguments. As you make your way through the chapters, the book will not only focus on the most essential Linux commands but also give an introduction to Bash shell scripting. Finally, you will explore advanced topics, such as networking and troubleshooting your system, and you will get familiar with the advanced file permissions: ACL, setuid, and setgid. Fundamentals of Linux includes real-world tasks, use cases, and problems that, as a system administrator, you might encounter in your day-to-day activities. Style and approach A step-by-step guide filled with real-world examples that will cover the fundamentals of Linux

This book will teach you what you need to know to start using GitHub effectively for collaborating and working on your software projects. About This Book ? Effectively use GitHub by learning its key features to leverage the power of Git and make collaboration on code easy to work with. ? Be more productive on the development workflow of your projects using the valuable toolset that GitHub provides. ? Explore the world of GitHub by following simple, step-by-step, real-world scenarios accompanied by helpful, explanatory screenshots. Who This Book Is For This book is for experienced or novice developers with a basic knowledge of Git. If you ever wanted to learn how big projects such as Twitter, Google, or even GitHub collaborate on code, then this book is for you. What You Will Learn ? Create and upload repositories to your account ? Create organizations and manage teams with different access levels on repositories ? Use the issue tracker effectively and add context to issues with labels and milestones ? Create, access, and personalize your user account and profile settings ? Build a community around your project using the sophisticated tools GitHub provides ? Create GitHub pages and understand web analytics In Detail Whether you are an experienced developer or a novice, learning to work with Version Control Systems is a must in the software development world. Git is the most popular tool for that purpose, and GitHub was built around it, leveraging its powers by bringing it to the web. Starting with the basics of creating a repository, you will then learn how to manage the issue tracker, the place where discussions about your project take place. Continuing our journey, we will explore how to use the wiki and write rich documentation that will accompany your project. You will also master organization/team management and some of the features that made GitHub so well known, including pull requests. Next, we will focus on creating simple web pages hosted on GitHub and lastly, we will explore the settings that are configurable for a user and a repository. Style and approach This book will take you through some of the most important features of one of the most popular tools, GitHub, which is used to bring developers together from all around the world to discover, share, and build better software. At each step of the way, you will learn about important approaches used in GitHub, including creating a repository, managing teams, creating GitHub pages, and watching your repository's web analytics, among others.