Ionic 2 Cookbook. The rich flavors of Ionic at your disposal - Second Edition

Hoc Phan

Developing real-time apps is the need of the hour, and apps that deal with humongous amounts of user data and real-time information that needs to be updated frequently are in high demand. Currently, one of the most popular frameworks for this task is Ionic Framework, which is undergoing a major makeover.This book will get you started with Ionic and help you create Angular 2 components that interact with templates. From there, you’ll work with Ionic components and find out how to share data efficiently between them. You’ll discover how to make the best use of the REST API to handle back-end services and then move on to animating the application to make it look pretty. You’ll learn to add in a local push notification in order to test the app. You’ll work with Cordova to support native functionalities on both iOS and Android. From there, you’ll get to grips with using the default themes for each platform as well as customizing your own. Finally, you’ll see how best to deploy your app to different platforms.This book will solve all your Ionic-related issues through dedicated recipes that will help you get the best out of Ionic.

Machine Learning for Time-Series with Python. Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods - Second Edition

Ben Auffarth

The Python time-series ecosystem is a huge and challenging topic to tackle, especially for time series since there are so many new libraries and models. Machine Learning for Time Series, Second Edition, aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and helping you build better predictive systems.This fully updated second edition starts by re-introducing the basics of time series and then helps you get to grips with traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will gain a deeper understanding of loading time-series datasets from any source and a variety of models, such as deep learning recurrent neural networks, causal convolutional network models, and gradient boosting with feature engineering. This book will also help you choose the right model for the right problem by explaining the theory behind several useful models. New updates include a chapter on forecasting and extracting signals on financial markets and case studies with relevant examples from operations management, digital marketing, and healthcare.By the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time series.

Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career

Sonyl Nagale

Knowledge of Python is a great foundation for learning other languages. This book will help you advance in your software engineering career by leveraging your Python programming skills to learn JavaScript and apply its unique features not only for frontend web development but also for streamlining work on the backend.Starting with the basics of JavaScript, you’ll cover its syntax, its use in the browser, and its frameworks and libraries. From working with user interactions and ingesting data from APIs through to creating APIs with Node.js, this book will help you get up and running with JavaScript using hands-on exercises, code snippets, and detailed descriptions of JavaScript implementation and benefits. To understand the use of JavaScript in the backend, you’ll explore Node.js and discover how it communicates with databases. As you advance, you’ll get to grips with creating your own RESTful APIs and connecting the frontend and backend for holistic full-stack development knowledge.By the end of this Python JavaScript book, you’ll have the knowledge you need to write full-fledged web applications from start to finish. You’ll have also gained hands-on experience of working through several projects, which will help you advance in your career as a JavaScript developer.

Wireshark Network Security. A succinct guide to securely administer your network using Wireshark

Piyush Verma

Enhanced Test Automation with WebdriverIO. Unlock the superpowers of hybrid testing frameworks

Paul M. Grossman, Larry C. Goddard, Angie Jones

This book helps you embark on a comprehensive journey to master the art of WebdriverIO automation, from installation through to advanced framework development.You’ll start by following step-by-step instructions on installing WebdriverIO, configuring Node packages, and creating a simple test. Here you’ll gain an understanding of the mechanics while also learning to add reporting and screen captures to your test results to enhance your test case documentation. In the next set of chapters, you’ll delve into the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites. The book goes beyond the basics, exploring testing techniques tailored for Jenkins as well as LambdaTest cloud environments. As you progress, you’ll gain a deep understanding of both TypeScript and JavaScript languages and acquire versatile coding skills.By the end of this book, you’ll have developed the expertise to construct a sophisticated test automation framework capable of executing an entire suite of tests using WebdriverIO in either TypeScript or JavaScript, as well as excel in your test automation endeavors and deliver reliable, efficient testing solutions.

Learning Vue.js 2. Learn how to build amazing reactive web applications easily with Vue.js

Olga Filipova

Vue.js is one of the latest new frameworks to have piqued the interest of web developers due to its reactivity, reusable components, and ease of use.This book shows developers how to leverage its features to build high-performing, reactive web interfaces with Vue.js. From the initial structuring to full deployment, this book provides step-by-step guidance to developing an interactive web interface from scratch with Vue.js.You will start by building a simple application in Vue.js which will let you observe its features in action. Delving into more complex concepts, you will learn about reactive data binding, reusable components, plugins, filters, and state management with Vuex. This book will also teach you how to bring reactivity to an existing static application using Vue.js. By the time you finish this book you will have built, tested, and deployed a complete reactive application in Vue.js from scratch.

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Explore the capabilities of the open-source deep learning framework MXNet to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in Computer Vision, natural language processing, and more. The Deep Learning with MXNet Cookbook is your gateway to constructing fast and scalable deep learning solutions using Apache MXNet.Starting with the different versions of MXNet, this book helps you choose the optimal version for your use and install your library. You’ll work with MXNet/Gluon libraries to solve classification and regression problems and gain insights into their inner workings. Venturing further, you’ll use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. From building and training deep-learning neural network architectures from scratch to delving into advanced concepts such as transfer learning, this book covers it all. You'll master the construction and deployment of neural network architectures, including CNN, RNN, LSTMs, and Transformers, and integrate these models into your applications.By the end of this deep learning book, you’ll wield the MXNet and Gluon libraries to expertly create and train deep learning networks using GPUs and deploy them in different environments.

Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis

Ahmed Sherif

Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business.The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company.It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.