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Ensemble Machine Learning: A beginner's guide that combines powerful machine learning algorithms to build optimized models
by Radovan Kavicky Apeksha Jain Ankit DixitKey Features Learn how to maximize popular machine learning algorithms such as random forests, decision trees, AdaBoost, K-nearest neighbor, and more Get a practical approach to building efficient machine learning models using ensemble techniques with real-world use cases Implement concepts such as boosting, bagging, and stacking ensemble methods to improve your model prediction accuracy Book Description Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior prediction power. This book will show you how you can use many weak algorithms to make a strong predictive model. This book contains Python code for different machine learning algorithms so that you can easily understand and implement it in your own systems. This book covers different machine learning algorithms that are widely used in the practical world to make predictions and classifications. It addresses different aspects of a prediction framework, such as data pre-processing, model training, validation of the model, and more. You will gain knowledge of different machine learning aspects such as bagging (decision trees and random forests), Boosting (Ada-boost) and stacking (a combination of bagging and boosting algorithms). Then you’ll learn how to implement them by building ensemble models using TensorFlow and Python libraries such as scikit-learn and NumPy. As machine learning touches almost every field of the digital world, you’ll see how these algorithms can be used in different applications such as computer vision, speech recognition, making recommendations, grouping and document classification, fitting regression on data, and more. By the end of this book, you’ll understand how to combine machine learning algorithms to work behind the scenes and reduce challenges and common problems. What you will learn -Understand why bagging improves classification and regression performance -Get to grips with implementing AdaBoost and different variants of this algorithm -See the bootstrap method and its application to bagging -Perform regression on Boston housing data using scikit-learn and NumPy -Know how to use Random forest for IRIS data classification -Get to grips with the classification of sonar dataset using KNN, Perceptron, and Logistic Regression -Discover how to improve prediction accuracy by fine-tuning the model parameters -Master the analysis of a trained predictive model for over-fitting/under-fitting cases
Google Cloud Platform Cookbook: Implement, deploy, maintain, and migrate applications on Google Cloud Platform
by Legorie Rajan PsPractical recipes to implement cost-effective and scalable cloud solutions for your organizationKey FeaturesImplement Google Cloud services in your organizationLeverage Google Cloud components to secure your organization’s dataA recipe-based guide that promises hands-on experience in deploying a highly scalable and available environmentBook DescriptionGoogle Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services.This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine microservices with Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration troubleshooting tasks with the Compute and Container Engines and we'll show how to monitor your organization's efficiency with best practices.By the end of this book, you'll have a complete understanding of how to implement Google Cloud services in your organization with ease.What you will learn Host a Python application on Google Compute Engine Host an application using Google Cloud Functions Migrate a MySQL DB to Cloud Spanner Configure a network for a highly available application on GCP Learn simple image processing using Storage and Cloud Functions Automate security checks using Policy Scanner Understand tools for monitoring a production environment in GCP Learn to manage multiple projects using service accountsWho this book is forThis book is for IT professionals, engineers, and developers looking at implementing Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this book useful. Basic understanding of Cloud services and the Google Cloud platform is necessary.
Hands-On Full Stack Development with Angular 5 and Firebase: Build real-time, serverless, and progressive web applications with Angular and Firebase
by Uttam AgarwalBuild an end-to-end application from development to production by binding Angular with Firebase in this complete guide to web application development Key Features Build a real-time production-ready web application by leveraging the features of Angular as front end and Firebase as the back end Learn more about authentication, databases, and security with Firebase Learn how to grow your application user base using Google analytics and how to make your application PWA compliant. Book Description This book is a complete package for you to build real-time web applications. You will build an end-to-end social networking web application from development to production with Angular as the frontend and Firebase as the backend. You will create an application called Friends with authentication, friends, and chat features. During the process, you’ll use Firebase authentication to register new users and Firebase database to store your extra user data. You’ll take a look at how to store and retrieve your user's images from Firebase storage. Then, you’ll create a real-time chat module with the Firebase database. Next, you’ll secure your database using Firebase security, make your application live with Firebase hosting, and develop your application with analytics. Moving on, you’ll take a look at how to create web pages using bootstrap with HTML, CSS, and TypeScript. You will use the angularfire2 library API in Angular services to interact with Firebase and write unit tests using the Jasmine framework that will help you to write a production-ready application. You’ll also discover various debugging techniques to troubleshoot any bug in your application. Finally, you’ll make your application Progressive Web Applications compliant. By the end of this book, you’ll be able to confidently build any complex application. What you will learn Understand the core concepts of Angular framework Create web pages with Angular as front end and Firebase as back end Develop a real-time social networking application Make your application live with Firebase hosting Engage your user using Firebase cloud messaging Grow your application with Google analytics Learn about Progressive Web App Who this book is for This book is for JavaScript developers who have some previous knowledge of the Angular framework and want to start developing serverless applications with Angular and Firebase. If you are looking for a more practical and less theory-based approach to learn these concepts, then this book is for you.
SQL Server on Linux
by Jasmin AzemovicBring the performance and security of SQL Server to Linux About This Book • Design and administer your SQL Server solution on the open source Linux platform • Install, configure, and fine-tune your database application for maximum performance • An easy-to-follow guide teaching you how to implement various SQL Server CTP 2.x offerings on Linux—from installation to administration Who This Book Is For This book is for the Linux users who want to learn SQL Server on their favorite Linux distributions. It is not important if you are experienced database user or a beginner as we are starting from scratch. However, it is recommended that you have basic knowledge about relational models. More advanced readers can pick the chapters of their interest and study specific topics immediately. Users from Windows platform can also benefit from this book to expand their frontiers and become equally efficient on both platforms. What You Will Learn • Install and set up SQL Server CTP 2.x on Linux • Create and work with database objects using SQL Server on Linux • Configure and administer SQL Server on Linux-based systems • Create and restore database back-ups • Protect sensitive data using the built-in cryptographic features • Optimize query execution using indexes • Improve query execution time by more than 10x using in-memory OLTP • Track row-versioning using temporal tables In Detail Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment. Style and approach This book follows a step-by-step approach to teach readers the concepts of SQL Server on Linux using the bash command line and SQL programming language trough examples which can easily be adapted and applied in your own solutions.
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV
by Abhinav DadhichA practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Book Description In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. What you will learn Learn the basics of image manipulation with OpenCV Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST Understand image transformation and downsampling with practical implementations. Explore neural networks for computer vision and convolutional neural networks using Keras Understand working on deep-learning-based object detection such as Faster- R-CNN, SSD, and more Explore deep-learning-based object tracking in action Understand Visual SLAM techniques such as ORB-SLAMWho this book is for This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Python: Data Analytics and Visualization
by Phuong Vo.T.H Martin Czygan Kirthi Raman Ashish KumarUnderstand, evaluate, and visualize data About This Book • Learn basic steps of data analysis and how to use Python and its packages • A step-by-step guide to predictive modeling including tips, tricks, and best practices • Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn • Get acquainted with NumPy and use arrays and array-oriented computing in data analysis • Process and analyze data using the time-series capabilities of Pandas • Understand the statistical and mathematical concepts behind predictive analytics algorithms • Data visualization with Matplotlib • Interactive plotting with NumPy, Scipy, and MKL functions • Build financial models using Monte-Carlo simulations • Create directed graphs and multi-graphs • Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization—predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan ? Learning Predictive Analytics with Python, Ashish Kumar ? Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization
RESTful Java Web Services - Third Edition
by Bogunuva Mohanram BalachandarMaster core REST concepts and create RESTful web services in Java About This Book • Build efficient and secure RESTful web APIs in Java.. • Design solutions to produce, consume and visualize RESTful web services using WADL, RAML, and Swagger • Familiarize the role of RESTful APIs usage in emerging technology trends like Cloud, IoT, Social Media. Who This Book Is For If you are a web developer with a basic understanding of the REST concepts and envisage to get acquainted with the idea of designing and developing RESTful web services, this is the book for you. As all the code samples for the book are written in Java, proficiency in Java is a must. What You Will Learn • Introduce yourself to the RESTful software architectural style and the REST API design principles • Make use of the JSR 353 API, JSR 374 API, JSR 367 API and Jackson API for JSON processing • Build portable RESTful web APIs, making use of the JAX-RS 2.1 API • Simplify API development using the Jersey and RESTEasy extension APIs • Secure your RESTful web services with various authentication and authorization mechanisms • Get to grips with the various metadata solutions to describe, produce, and consume RESTful web services • Understand the design and coding guidelines to build well-performing RESTful APIs • See how the role of RESTful web services changes with emerging technologies and trends In Detail Representational State Transfer (REST) is a simple yet powerful software architecture style to create lightweight and scalable web services. The RESTful web services use HTTP as the transport protocol and can use any message formats, including XML, JSON(widely used), CSV, and many more, which makes it easily inter-operable across different languages and platforms. This successful book is currently in its 3rd edition and has been used by thousands of developers. It serves as an excellent guide for developing RESTful web services in Java. This book attempts to familiarize the reader with the concepts of REST. It is a pragmatic guide for designing and developing web services using Java APIs for real-life use cases following best practices and for learning to secure REST APIs using OAuth and JWT. Finally, you will learn the role of RESTful web services for future technological advances, be it cloud, IoT or social media. By the end of this book, you will be able to efficiently build robust, scalable, and secure RESTful web services using Java APIs. Style and approach Step-by-step guide to designing and developing robust RESTful web services. Each topic is explained in a simple and easy-to-understand manner with lots of real-life use-cases and their solutions.
Magento 2 - Build World-Class online stores
by Bret Williams Fernando J. Miguel Jonathan Bownds Ray Bogman Vladimir KerkhoffCreate rich and compelling solutions for Magento 2 by developing and implementing solutions, themes, and extensions About This Book • Be proficient in the main functionalities, resources, and system structure of Magento 2 • Get to grips with this practical and hands-on guide to raise your web development skills to the next level • Packed with several advanced recipes, not just to manage your online store, but to extend and design it as well Who This Book Is For The ideal target audience for this course could be anyone who wants to mould their skills in building amazing e-commerce websites using Magento. We begin right from getting you started with Magento to becoming an expert at building your own online stores with it. What You Will Learn • Install and set up the Magento Ecosystem • Carry out performance adjustments to speed up your Magento system • Transfer your Magento 1 database to Magento 2 using the Magento 2 system tools • Build a Magento 2 multi-store by creating a root catalog, subdirectories, and products • Design custom themes within the Magento 2 framework • Create extensions using Magento 2 • Discover what makes Magento 2 different and more powerful In Detail Magento is the leading e-commerce software trusted by world`s leading organizations. Used by thousands of merchants for their transactions worth billions, it provides the flexibility to customize the content and functionality of your website. Our Magento Course will help you gain knowledge and skills that are required to design & develop world class online stores. Magento 2 Development Essentials - This book begins by setting up Magento 2 before gradually moving onto setting the basic options of the Sell System. You will learn Search Engine Optimization aspects, create design and customize theme layout, and adjust the Magento System to achieve great performance. Magento 2 Cookbook – This book is divided into several recipes, which show you which steps to take to complete a specific action. It will cover configuring your categories and products, performance tuning, creating a theme, developing a module etc. At the end of this book, you will gain the knowledge to start building a success website. Mastering Magento 2 - This is a comprehensive guide to using the all new features and interface of Magento 2 to build, extend, and design online stores. This book is your roadmap to managing your Magento store which teaches advanced and successful techniques. Focusing on Magento's Community version, this book offers you advanced guidance on managing, optimizing, and extending your store while taking advantage of the new features of Magento 2. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products • Magento 2 Development Essentials by Fernando J. Miguel • Magento 2 Cookbook by Ray Bogman and Vladimir Kerkhoff • Mastering Magento 2 by Bret Williams and Jonathan Bownds Style and approach This course begins by setting up Magento 2 before gradually moving on to setting the basic options of the Sell System. You will master Search Engine Optimization aspects, create designs and customize theme layouts, develop new extensions, and adjust the Magento System to achieve great performance. The book covers everything from creating and managing multiple stores to fine-tuning Magento for speed and performance.
Hands-On Penetration Testing on Windows: Unleash Kali Linux, PowerShell, and Windows debugging tools for security testing and analysis
by Phil BramwellMaster the art of identifying vulnerabilities within the Windows OS and develop the desired solutions for it using Kali Linux.Key FeaturesIdentify the vulnerabilities in your system using Kali Linux 2018.02Discover the art of exploiting Windows kernel driversGet to know several bypassing techniques to gain control of your Windows environmentBook DescriptionWindows has always been the go-to platform for users around the globe to perform administration and ad hoc tasks, in settings that range from small offices to global enterprises, and this massive footprint makes securing Windows a unique challenge. This book will enable you to distinguish yourself to your clients.In this book, you'll learn advanced techniques to attack Windows environments from the indispensable toolkit that is Kali Linux. We'll work through core network hacking concepts and advanced Windows exploitation techniques, such as stack and heap overflows, precision heap spraying, and kernel exploitation, using coding principles that allow you to leverage powerful Python scripts and shellcode.We'll wrap up with post-exploitation strategies that enable you to go deeper and keep your access. Finally, we'll introduce kernel hacking fundamentals and fuzzing testing, so you can discover vulnerabilities and write custom exploits. By the end of this book, you'll be well-versed in identifying vulnerabilities within the Windows OS and developing the desired solutions for them.What you will learnGet to know advanced pen testing techniques with Kali Linux Gain an understanding of Kali Linux tools and methods from behind the scenesSee how to use Kali Linux at an advanced levelUnderstand the exploitation of Windows kernel driversUnderstand advanced Windows concepts and protections, and how to bypass them using Kali LinuxDiscover Windows exploitation techniques, such as stack and heap overflows and kernel exploitation, through coding principlesWho this book is forThis book is for penetration testers, ethical hackers, and individuals breaking into the pentesting role after demonstrating an advanced skill in boot camps. Prior experience with Windows exploitation, Kali Linux, and some Windows debugging tools is necessary
ArcGIS Pro 2.x Cookbook: Create, manage, and share geographic maps, data, and analytical models using ArcGIS Pro
by Tripp CorbinCreating and Sharing Maps and Data using ArcGIS Pro Key Features Leverage the power of ArcGIS to build beautiful 2D and 3D maps. Work with ArcGIS to analyze and process data. Extend the power of ArcGIS to ArcGIS Online to create and edit content. Book Description ArcGIS is Esri's catalog of GIS applications with powerful tools for visualizing, maintaining, and analyzing data. ArcGIS makes use of the modern ribbon interface and 64-bit processing to increase the speed and efficiency of using GIS. It allows users to create amazing maps in both 2D and 3D quickly and easily. If you want to gain a thorough understanding of the various data formats that can be used in ArcGIS Pro and shared via ArcGIS Online, then this book is for you. Beginning with a refresher on ArcGIS Pro and how to work with projects, this book will quickly take you through recipes about using various data formats supported by the tool. You will learn the limits of each format, such as Shapefiles, Geodatabase, and CAD files, and learn how to link tables from outside sources to existing GIS data to expand the amount of data that can be used in ArcGIS. You'll learn methods for editing 2D and 3D data using ArcGIS Pro and how topology can be used to ensure data integrity. Lastly the book will show you how data and maps can be shared via ArcGIS Online and used with web and mobile applications. What you will learn Edit data using standard tools and topology Convert and link data together using joins and relates Create and share data using Projections and Coordinate Systems Access and collect data in the field using ArcGIS Collector Perform proximity analysis and map clusters with hotspot analysis Use the 3D Analyst Extension and perform advanced 3D analysis Share maps and data using ArcGIS Online via web and mobile apps Who this book is for GIS developers who are comfortable using ArcGIS, and are looking to increase their capabilities and skills, will find this book useful.
Mastering Adobe Captivate 2017
by Packt Publishing<P><P>Create responsive SCORM-compliant quizzes, demonstrations, and eLearning content that fit on any device <P><P>Key Features <P><P>Create highly engaging interactive eLearning content with Adobe Captivate <P><P>Create SCORM-compliant Quizzes and host them in your favorite LMS <P><P>Make your eLearning content look great on any device with the advanced Responsive features of Adobe Captivate <P><P>Book Description <P><P>Adobe Captivate is used to create highly engaging, interactive, and responsive eLearning content. This book gives you the expertise you need to reinforce your own professional-quality eLearning course modules. <P><P>The book takes you through the production of three pieces of eLearning content. First, you will learn how to create a typical interactive Captivate project. This will give you the opportunity to review all Captivate objects one by one and uncover the application's main tools. Then, you will use the built-in capture engine of Captivate to create an interactive software simulation and a Video Demo that can be uploaded to your YouTube channel or published as an MP4 video. Finally, you will approach the advanced responsive features of Captivate to create a project that can be viewed on any device. At the end of the book, you will empower your workflow and projects with the most advanced features of the application, including variables, advanced actions, using Captivate with other applications, and more. <P><P>This book is an advanced tutorial, containing all the assets required to build its sample projects. Self-exploration is encouraged through extra exercises, experimentation, and external references. <P><P>What you will learn <P><P>Learn how to use features and objects in Adobe Captivate <P><P>Drive engagement by adding interactivity to your eLearning content <P><P>Add multimedia elements, such as audio and video, to create engaging, state-of-the-art learning experiences <P><P>Use themes to craft a unique visual experience that reinforces the learning process <P><P>Capture on-screen action and create highly engaging interactive software demonstrations and simulations <P><P>Use question slides to create SCORM-compliant quizzes and surveys that integrate seamlessly with your favorite LMS <P><P>Make your content look awesome on any device with the advanced responsive features of Captivate <P><P>Integrate Captivate with other applications (such as PowerPoint and Photoshop) to establish a professional eLearning production workflow. <P><P>Unleash the true power of Captivate with variables and advanced actions
Statistics for Data Science
by James D. MillerGet your statistics basics right before diving into the world of data science About This Book • No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; • Implement statistics in data science tasks such as data cleaning, mining, and analysis • Learn all about probability, statistics, numerical computations, and more with the help of R programs Who This Book Is For This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful. What You Will Learn • Analyze the transition from a data developer to a data scientist mindset • Get acquainted with the R programs and the logic used for statistical computations • Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more • Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis • Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks • Get comfortable with performing various statistical computations for data science programmatically In Detail Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on. This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks. By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically. Style and approach Step by step comprehensive guide with real world examples
Qt 5 Projects: Develop cross-platform applications with modern UIs using the powerful Qt framework
by Marco Aldo Piccolino BonifortiDesign, build, and deploy powerful applications with amazing user interfaces on embedded, mobile, and desktop platforms Key Features Easily compile, run, and debug your applications from the powerful Qt Creator IDE Future-proof your applications with Qt Test and modern architecture principles Build multi-platform projects that target Android, iOS, Windows, macOS, Linux, and more Book Description Qt is a professional cross-platform application framework used across industries like automotive, medical, infotainment, wearables, and more. In this book you’ll initially create a to-do style app by going via all stages for building a successful project. You'll learn basics of Qt's C++ and QML APIs, test-driven development with Qt Test, application architecture, and UIs with Qt Quick & Quick Controls 2. Next, you’ll help two startups build their products. The first startup, Cute Comics, wants to help independent comic creators with a suite of apps that let them experiment with comic pages, image composition, comic dialogues, and scene descriptions. While developing these apps you’ll deepen your knowledge of Qt Quick's layout systems, and see Qt 3D and Widgets in action. The second startup, Cute Measures, wants to create apps for industrial and agricultural sectors, to make sense of sensor data via a monitoring system. The apps should run seamlessly across devices and operating systems like Android, iOS, Windows, or Mac, and be cost-effective by integrating with existing web technologies. You take the role of lead developer and prototype the monitoring system. In doing so you’ll get to know Qt's Bluetooth and HTTP APIs, as well as the Charts and Web Engine UI modules. These projects will help you gain a holistic view of the Qt framework. What you will learn Learn the basics of modern Qt application development Develop solid and maintainable applications with BDD, TDD, and Qt Test Master the latest UI technologies and know when to use them: Qt Quick, Controls 2, Qt 3D and Charts Build a desktop UI with Widgets and the Designer Translate your user interfaces with QTranslator and Linguist Get familiar with multimedia components to handle visual input and output Explore data manipulation and transfer: the model/view framework, JSON, Bluetooth, and network I/O Take advantage of existing web technologies and UI components with WebEngine Who this book is for This book is for developers who want to successfully build and maintain cross-platform applications with advanced UI and connectivity features. Basic knowledge of C++ is required.
Mastering Angular Components: Build component-based user interfaces using Angular, 2nd Edition
by Gion KunzMastering Angular Components is for you if you are an Angular developer who already has a good understanding of basic frontend web technologies such as JavaScript, HTML, and CSS.
Practical Internet of Things with JavaScript (ES5/ES6): Build standalone exciting IoT projects with Raspberry Pi 3 and JavaScript (ES5/ES6)
by Arvind Ravulavaru Vijaya Kumar SudaKey Features Leverage the capability of IoT with the combination of Raspberry Pi 3 and JavaScript (ES5/ES6) Develop a health monitoring device along with some cool projects like Smart Agriculture & Raspberry Pi 3 based surveillance. A practical book which will help you build Mobile/Web/Desktop apps that will show how to manage and monitor data from sensors and actuators in real time. Book Description In this world of technology upgrades, IoT is currently leading with its promise to make the world a more smarter and efficient place. This book will show you how to build simple IoT solutions that will help you to understand how this technology works. We would not only explore the IoT solution stack, but we will also see how to do it with the world’s most misunderstood programming language - JavaScript. Using Raspberry Pi 3 and JavaScript (ES5/ES6) as the base to build all the projects, you will begin with learning about the fundamentals of IoT and then build a standard framework for developing all the applications covered in this book. You will then move on to build a weather station with temperature, humidity and moisture sensors and further integrate Alexa with it. Further, you will build a smart wearable for understanding the concept of fall detection. You will then extend it with the 'If This Then That' (IFTTT) rules engine to send an email on fall detection. Finally, you will be working with the Raspberry Pi 3 camera module and surveillance with a bit of facial detection using Amazon Rekognition platform. At the end of the book, you will not only be able to build standalone exciting IoT applications but also learn how you can extend your projects to another level. What you will learn Integrate sensors and actuators with the cloud and control them for your Smart Weather Station. Develop your very own Amazon Alexa integrating with your IoT solution Define custom rules and execute jobs on certain data events using IFTTT Build a simple surveillance solutions using Amazon Recognition & Raspberry Pi 3 Design a fall detection system and build a notification system for it. Use Amazon Rekognition for face detection and face recognition in your Surveillance project
Mobile DevOps: Deliver continuous integration and deployment within your mobile applications
by Jhalak Modi Rohin TakThis step-by-step guide will teach you to continuously improve your mobile application development processKey Features●Efficiently deliver continuous integration and deployment within all the stages of your application's lifecycle●Learn to implement mobile DevOps with Xamarin and Visual Studio●Deliver high quality and performing mobile applicationsBook DescriptionToday's world is all about perfection, and there are hundreds of applications that are released each day out of which only a few succeed. Making sure that the app looks, performs, and behaves as expected is one of the biggest challenge developers face today.The main goal of this book is to teach developers to implement DevOps to build, test, and deliver. This book will teach you to implement Mobile DevOps at every stage of your application's lifecycle with Visual Studio and Xamarin Mobile Lifecycle solutions. Later, it will also show you how to leverage Mobile Center's continuous integration and automated testing to develop a high-quality applications. Next, you’ll see how to mobilize your on-premises data to the cloud and increase your productivity with code reuse. Finally, you’ll discover how to find and fix bugs beforehand, improving the efficiency of your application while it is being developed.By the end of this book, you will be well-versed with Mobile DevOps techniques, delivering high quality and high performance mobile apps.What you will learn●Become fluent with the basic components of Mobile Devops●Find out how to use code repositories and install Git on an EC2 server and manage users and groups●Set up an Android device for development and install Visual Studio and Xamarin on Windows●Create an Android project and UI for applications●Add permissions to Android Manifest●Write tests with Xamarin. UI and test using test cloud to check it on multiple devices●Monitor and optimize the application using the Android monitoring tool●Debug the mobile application and improve its efficiency Who this book is forIf you are a programmer and developer who wants to increase the efficiency and scalability of your mobile application with the implementation of DevOps, then this book is for you. You need basic experience of the application process development.
SciPy Recipes: A cookbook with over 110 proven recipes for performing mathematical and scientific computations
by Luiz Felipe Martins Ruben Oliva Ramos Kishore Ayyadevara Tomas Oliva Ke WuKey Features Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlibEffective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and moreA must-have book if you're looking to solve your data-related problems using SciPy, on-the-goBook DescriptionWith the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease.This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.What you will learn Get a solid foundation in scientific computing using Python Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack Implement data wrangling tasks efficiently using pandas Visualize your data through various graphs and charts using matplotlib
Learn Node.js by Building 6 Projects: Build six practical and instructive Node.js projects
by Eduonix Learning Solution Pvt. LtdThis is an advanced, practical guide to harnessing the power of Node.js by creating 6 full-scale real-world projects, from creating a chat application to an eLearning system. Key FeaturesDevelop scalable and lightweight applications using Node.jsLearn how to interface Node.js with other popular technologies such as MongoDB, MySQL, and more Your companion to master the Node ecosystem through six real-world projectsBook DescriptionWith its event-driven architecture and efficient web services capabilities, more and more companies are building their entire infrastructure around Node.js. Node has become a de facto part of web development that any serious developer needs to master.This book includes six Node.js projects that gradually increase in complexity. You'll start by building a simple web server and create a basic website. You will then move to create the login system, blog system, chat system, and e-learning system.By creating and following the example projects in this book, you’ll improve your Node.js skills through practical working projects, and you'll learn how to use Node.js with many other useful technologies, such as ExpressJS, Kickstart, and Heroku.What you will learnCreate powerful applications using Node.jsBuild scalable and lightweight web applicationsUse the Express Framework to build web applicationsUnderstand the coding principles behind practical web applicationsUnderstand the concepts of network programmingUse Node.js with other technologies including Kickstart and HerokuUse Node with database technologies Cassandra and MongoDBWho this book is forIf you are a web developer or a student who wants to learn about Node.js in a hands-on manner, this book will be perfect for you. A basic understanding of HTML, JavaScript, and some front-end programming experience is required.
Progressive Web Apps with React: Create lightning fast web apps with native power using React and Firebase
by Scott DomesEnhance the performance of your applications by using React and adding the Progressive web app capability to itAbout This BookBring the best of mobile sites and native apps to your users with progressive web applicationsCreate fast, reliable, and engaging PWAs with React and FirebaseCreate high-performance applications even with low connection speeds by leveraging modern web technologiesWho This Book Is ForThis book is for Javascript Developers who want to develop high performance Web User Interfaces. This book requires basic knowledge of HTML, CSS and JavaScript.What You Will LearnSet up Webpack configuration, as well as get the development server runningLearn basic Firebase configuration and deploymentCreate routes, manage multiple components, and learn how to use React Router v4 to manage the flow of dataUse React life cycle methods to load dataAdd a service worker to the app and learn how it worksUse a service worker to send Push NotificationsConfigure Webpack to split up the JavaScript bundle and lazy load component filesLearn how to use the web Cache API to use your app offlineAudit PWAs with Google's Lighthouse toolIn DetailFor years, the speed and power of web apps has lagged behind native applications. Progressive Web Apps (PWAs) aim to solve this by bridging the gap between the web apps and native apps, delivering a host of exciting features. Simultaneously, React is fast becoming the go-to solution for building modern web UIs, combining ease of development with performance and capability. Using React alongside PWA technology will make it easy for you to build a fast, beautiful, and functional web app.After an introduction and brief overview of the goals of PWAs, the book moves on to setting up the application structure. From there, it covers the Webpack build process and the process of creating React components. You'll learn how to set up the backend database and authentication solution to communicate with Firebase and how to work with React Router. Next, you will create and configure your web app manifest, making your PWA installable on mobile devices. Then you'll get introduced to service workers and see how they work as we configure the app to send push notifications using Firebase Cloud Messaging. We'll also explore the App Shell pattern, a key concept in PWAs and look at its advantages regarding efficient performance. Finally, you'll learn how to add offline capabilities to the app with caching and confirm your progress by auditing your PWA with Lighthouse. Also, you'll discover helper libraries and shortcuts that will help you save time and understand the future of PWA development.Style and approachThis is a step-by-step book, wherein, you will use the React framework to create a complete progressive web app.
Mastering Entity Framework Core 2.0: Dive into entities, relationships, querying, performance optimization, and more, to learn efficient data-driven development
by Prabhakaran AnbazhaganLearn how to leverage the features of the new Entity Framework Core APIs and use them to build pure .NET Core applications. About This Book • Learn how to effectively manage your database to make it more productive and maintainable. • Write simplified queries using LINQ to acquire the desired data easily • Raise the abstraction level from data to objects so teams can function independently, resulting in easily maintainable code Who This Book Is For This book is for .NET Core developers who would like to integrate EF Core in their application. Prior knowledge of .NET Core and C# is assumed. What You Will Learn • Create databases and perform CRUD operations on them • Understand and build relationships (related to entities, keys, and properties) • Understand in-built, custom, and remote validation (both client and server side) • You will learn to handle concurrency to build responsive applications • You will handle transactions and multi-tenancy while also improving performance In Detail Being able to create and maintain data-oriented applications has become crucial in modern programming. This is why Microsoft came up with Entity Framework so architects can optimize storage requirements while also writing efficient and maintainable application code. This book is a comprehensive guide that will show how to utilize the power of the Entity Framework to build efficient .NET Core applications. It not only teaches all the fundamentals of Entity Framework Core but also demonstrates how to use it practically so you can implement it in your software development. The book is divided into three modules. The first module focuses on building entities and relationships. Here you will also learn about different mapping techniques, which will help you choose the one best suited to your application design. Once you have understood the fundamentals of the Entity Framework, you will move on to learn about validation and querying in the second module. It will also teach you how to execute raw SQL queries and extend the Entity Framework to leverage Query Objects using the Query Object Pattern. The final module of the book focuses on performance optimization and managing the security of your application. You will learn to implement failsafe mechanisms using concurrency tokens. The book also explores row-level security and multitenant databases in detail. By the end of the book, you will be proficient in implementing Entity Framework on your .NET Core applications. Style and approach This book is filled with various examples that will help you use Entity Framework Core 2.0 to write efficient software.
PostGIS Cookbook: Store, organize, manipulate, and analyze spatial data, 2nd Edition
by Mayra Zurbarán Thomas Kraft Stephen Vincent Mather Bborie Park Pedro WightmanCreate and manage spatial data with PostGISKey FeaturesImport and export geographic data from the PostGIS database using the available tools Maintain, optimize, and fine-tune spatial data for long-term viability Utilize the parallel support functionality that was introduced in PostgreSQL 9.6Book DescriptionPostGIS is a spatial database that integrates the advanced storage and analysis of vector and raster data, and is remarkably flexible and powerful. PostGIS provides support for geographic objects to the PostgreSQL object-relational database and is currently the most popular open source spatial databases. If you want to explore the complete range of PostGIS techniques and expose related extensions, then this book is for you. This book is a comprehensive guide to PostGIS tools and concepts which are required to manage, manipulate, and analyze spatial data in PostGIS. It covers key spatial data manipulation tasks, explaining not only how each task is performed, but also why. It provides practical guidance allowing you to safely take advantage of the advanced technology in PostGIS in order to simplify your spatial database administration tasks. Furthermore, you will learn to take advantage of basic and advanced vector, raster, and routing approaches along with the concepts of data maintenance, optimization, and performance, and will help you to integrate these into a large ecosystem of desktop and web tools.By the end, you will be armed with all the tools and instructions you need to both manage the spatial database system and make better decisions as your project's requirements evolve.What you will learnImport and export geographic data from the PostGIS database using the available toolsStructure spatial data using the functionality provided by a combination of PostgreSQL and PostGISWork with a set of PostGIS functions to perform basic and advanced vector analysesConnect PostGIS with PythonLearn to use programming frameworks around PostGISMaintain, optimize, and fine-tune spatial data for long-term viabilityExplore the 3D capabilities of PostGIS, including LiDAR point clouds and point clouds derived from Structure from Motion (SfM) techniquesDistribute 3D models through the Web using the X3D standardUse PostGIS to develop powerful GIS web applications using Open Geospatial Consortium web standardsMaster PostGIS RasterWho this book is forThis book is for developers who need some quick solutions for PostGIS. Prior knowledge of PostgreSQL and spatial concepts would be an added advantage.
Java 9 Dependency Injection: Write loosely coupled code with Spring 5 and Guice
by Nilang Patel Krunal PatelCreate clean code with Dependency Injection principlesKey FeaturesUse DI to make your code loosely coupled to manage and test your applications easily on Spring 5 and Google GuiceLearn the best practices and methodologies to implement DIWrite more maintainable Java code by decoupling your objects from their implementationsBook DescriptionDependency Injection (DI) is a design pattern that allows us to remove the hard-coded dependencies and make our application loosely coupled, extendable, and maintainable. We can implement DI to move the dependency resolution from compile-time to runtime. This book will be your one stop guide to write loosely coupled code using the latest features of Java 9 with frameworks such as Spring 5 and Google Guice. We begin by explaining what DI is and teaching you about IoC containers. Then you’ll learn about object compositions and their role in DI. You’ll find out how to build a modular application and learn how to use DI to focus your efforts on the business logic unique to your application and let the framework handle the infrastructure work to put it all together. Moving on, you’ll gain knowledge of Java 9’s new features and modular framework and how DI works in Java 9. Next, we’ll explore Spring and Guice, the popular frameworks for DI. You’ll see how to define injection keys and configure them at the framework-specific level. After that, you’ll find out about the different types of scopes available in both popular frameworks. You’ll see how to manage dependency of cross-cutting concerns while writing applications through aspect-oriented programming.Towards the end, you’ll learn to integrate any third-party library in your DI-enabled application and explore common pitfalls and recommendations to build a solid application with the help of best practices, patterns, and anti-patterns in DI. What you will learnUnderstand the benefits of DI and fo from a tightly coupled design to a cleaner design organized around dependencies See Java 9’s new features and modular frameworkSet up Guice and Spring in an application so that it can be used for DIWrite integration tests for DI applicationsUse scopes to handle complex application scenariosIntegrate any third-party library in your DI-enabled applicationImplement Aspect-Oriented Programming to handle common cross-cutting concerns such as logging, authentication, and transactions Understand IoC patterns and anti-patterns in DI Who this book is forThis book is for Java developers who would like to implement DI in their application. Prior knowledge of the Spring and Guice frameworks and Java programming is assumed.
Full-Stack Vue.js 2 and Laravel 5: Bring the frontend and backend together with Vue, Vuex, and Laravel
by Ashley Menhennett Anthony GoreKey Features End-to-end guide on full-stack development with Vue.js 2 and Laravel 5 Developing modern user interfaces with a reusable component-based architecture Use Webpack to improve applications performance and development workflow Explore the features of Vuex to build applications that are powerful, consistent, and maintainable Book Description Vue is a JavaScript framework that can be used for anything from simple data display to sophisticated front-end applications and Laravel is a PHP framework used for developing fast and secure web-sites. This book gives you practical knowledge of building modern full-stack web apps from scratch using Vue with a Laravel back end. In this book, you will build a room-booking website named "Vuebnb". This project will show you the core features of Vue, Laravel and other state-of-the-art web development tools and techniques. The book begins with a thorough introduction to Vue.js and its core concepts like data binding, directives and computed properties, with each concept being explained first, then put into practice in the case-study project. You will then use Laravel to set up a web service and integrate the front end into a full-stack app. You will be shown a best-practice development workflow using tools like Webpack and Laravel Mix. With the basics covered, you will learn how sophisticated UI features can be added using ES+ syntax and a component-based architecture. You will use Vue Router to make the app multi-page and Vuex to manage application state. Finally, you will learn how to use Laravel Passport for authenticated AJAX requests between Vue and the API, completing the full-stack architecture. Vuebnb will then be prepared for production and deployed to a free Heroku cloud server. What you will learn Core features of Vue.js to create sophisticated user interfaces Build a secure backend API with Laravel Learn a state-of-the-art web development workflow with Webpack Full-stack app design principles and best practices Learn to deploy a full-stack app to a cloud server and CDN Managing complex application state with Vuex Securing a web service with Laravel Passport
Salesforce Lightning Reporting and Dashboards
by Johan YuLearn how to build advanced reports and dashboards in Salesforce Lightning experience About This Book • Visualize and create advanced reports and dashboards using Lightning Experience • Improve overall business efficiency with advanced and effective reports and dashboards • Understand and create custom reports and dashboards Who This Book Is For This book is targeted at Salesforce.com administrators, business analysts, and managers who use Salesforce.com for their daily job and want to learn in depth about Salesforce Reporting and Dashboard in Lightning Experience. Readers should have a basic knowledge of Salesforce, such as: Accounts, Contacts, Leads, Opportunities and custom objects. What You Will Learn • Navigate in Salesforce.com within the Lightning Experience user interface • Secure and share your reports and dashboards with other users • Create, manage, and maintain reports using Report Builder • Learn how the report type can affect the report generated • Explore the report and dashboard folder and the sharing model • Create reports with multiple formats and custom report types • Explore various dashboard features in Lightning Experience • Use Salesforce1, including accessing reports and dashboards In Detail Built on the Salesforce App Cloud, the new Lightning Experience combines the new Lightning Design System, Lightning App Builder, and Lightning Components to enable anyone to quickly and easily create modern enterprise apps. The book will start with a gentle introduction to the basics of Salesforce reports and dashboards. It will also explain how to access reports in depth. Then you will learn how to create and manage reports, to use Schedule Report, and create advanced report configurations. The next section talks about dashboards and will enable you to understand and compare various types of dashboard component and how you can benefit the most from each of them. Then we move on to advanced topics and explain tips and tricks related to reports and dashboards, including reporting snapshots, report parameters, and collaboration. Finally, we will discuss how to access dashboards and reports from the Salesforce1 mobile app. Style and approach This comprehensive guide covers the advanced features of the all new Salesforce Lightning concepts and communicates them through a practical approach to explore the underlying concepts of how, when, and why to use them.
IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions
by Keith McCormick Jose Jesus Salcedo Bowen WeiKey Features Get up–and-running with IBM SPSS Modeler without going into too much depth. Identify interesting relationships within your data and build effective data mining and predictive analytics solutions A quick, easy–to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business Book Description IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler’s easy to learn “visual programming” style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model’s performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models. What you will learn Understand the basics of data mining and familiarize yourself with Modeler’s visual programming interface Import data into Modeler and learn how to properly declare metadata Obtain summary statistics and audit the quality of your data Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields Assess simple relationships using various statistical and graphing techniques Get an overview of the different types of models available in Modeler Build a decision tree model and assess its results Score new data and export predictions