The Complete Guide to Defense in Depth. Learn to identify, mitigate, and prevent cyber threats with a dynamic, layered defense approach

Akash Mukherjee, Jason D. Clinton

In an era of relentless cyber threats, organizations face daunting challenges in fortifying their defenses against increasingly sophisticated attacks. The Complete Guide to Defense in Depth offers a comprehensive roadmap to navigating the complex landscape, empowering you to master the art of layered security.This book starts by laying the groundwork, delving into risk navigation, asset classification, and threat identification, helping you establish a robust framework for layered security. It gradually transforms you into an adept strategist, providing insights into the attacker's mindset, revealing vulnerabilities from an adversarial perspective, and guiding the creation of a proactive defense strategy through meticulous mapping of attack vectors. Toward the end, the book addresses the ever-evolving threat landscape, exploring emerging dangers and emphasizing the crucial human factor in security awareness and training. This book also illustrates how Defense in Depth serves as a dynamic, adaptable approach to cybersecurity.By the end of this book, you’ll have gained a profound understanding of the significance of multi-layered defense strategies, explored frameworks for building robust security programs, and developed the ability to navigate the evolving threat landscape with resilience and agility.

Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions

Mohamed Abouahmed, Omar Ahmed

With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you’ll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.

Dancing with Python. Learn to code with Python and Quantum Computing

Robert S. Sutor

Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files.The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning.By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.

Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python

Cuantum Technologies LLC

Generative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation.The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field.Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.

Redux Made Easy with Rematch. Reduce Redux boilerplate and apply best practices with Rematch

Sergio Moreno

Rematch is Redux best practices without the boilerplate. This book is an easy-to-read guide for anyone who wants to get started with Redux, and for those who are already using it and want to improve their codebase.Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will take you from the simplest through to the most complex layers of Rematch. You’ll learn how to migrate from Redux, and write plugins to set up a fully tested store by integrating it with vanilla JavaScript, React, and React Native. You'll then build a real-world application from scratch with the power of Rematch and its plugins. As you advance, you’ll see how plugins extend Rematch functionalities, understanding how they work and help to create a maintainable project. Finally, you'll analyze the future of Rematch and how the frontend ecosystem is becoming easier to use and maintain with alternatives to Redux.By the end of this book, you'll be able to have total control of the application state and use Rematch to manage its scalability with simplicity.

Learning Highcharts. Whether you’re a novice or an advanced web developer, this practical tutorial will enable you to produce stunning interactive charts using Highcharts. With a foreword by the creator, it’s the only guide you’ll need to get started

Highsoft Solutions AS, Joe Kuan

Highcharts is a popular web charting software that produces stunning and smooth animated JavaScript and HTML5 SVG graphs. It is among the leading web charting software in the market and has been used in many different sectors ó from financial to social websites. Although it is built on top of jQuery, it is so simple to construct that you need little programming skill to create a simple web chart. Highcharts works on all modern browsers and is solely based on native browser technologies and doesn't require client side plugins like Flash or Java.Learning Highcharts is a comprehensive tutorial with clear and practical examples. This book follows a step by step approach towards making artistic, presentable, or professional style charts and other types of charts that you won't find elsewhere. It also shows you how to integrate Highcharts with other popular frameworks, such as jQuery, jQuery Mobile, and ExtJS and even how to run it on the server side.The book starts off with an introduction to Highcharts and demonstrates usage of its rich set of options. This is followed by an introduction to each type of basic chart, beginning with simple illustrations and ending with more artistic and productive additions to the charts. The book then guides you how to use the Highcharts API and events handling which are important to build interactive applications. It then goes on to show you how to apply Highcharts onto a popular AJAX Framework or even jQuery, jQuery Mobile and Ext JS. Finally the book shows readers how to set up Highcharts running on server side. Learning Highcharts aims to teach you everything you need to know about Highcharts, and take the advanced leap from Flash to JavaScript, with this extremely productive and effective Charting software available, thus helping you build basic charts and even multiple series and axes charts. The book also shows you the flexibility of Highcharts and how to create other special charts. The programming side of APIs and event handling will benefit the readers in building advanced web applications with Highcharts. The book also guides readers on how to integrate Highcharts with popular frameworks such as jQuery Mobile and Ext JS. By the end of the book, you should be able to use Highcharts to suit your web page or application needs.

Elasticsearch 7.0 Cookbook. Over 100 recipes for fast, scalable, and reliable search for your enterprise - Fourth Edition

Alberto Paro

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

Mario Döbler, Tim Großmann

Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.