Spark for Data Science. Click here to enter text

Srinivas Duvvuri, Bikramaditya Singhal

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.

C++ Programming for Linux Systems. Create robust enterprise software for Linux and Unix-based operating systems

Desislav Andreev, Stanimir Lukanov, Milena Lazarova

Around 35 million Linux and almost 2 billion Android users rely on C++ for everything from the simplest embedded and IoT devices to cloud services, supercomputing, and space exploration. To help you produce high-quality software, two industry experts have transformed their knowledge and experience into practical examples in system programming with C++ Programming for Linux Systems.In this book, you'll explore the latest C++20 features, while working on multiple specific use cases. You’ll get familiar with the coroutines and modern approaches in concurrent and multithreaded programming. You'll also learn to reshape your thinking when analyzing system behavior in Linux (POSIX) environments. Additionally, you'll discover advanced discussions and novel solutions for complex challenges, while approaching trivial system operations with a new outlook and learning to choose the best design for your particular case.You can use this workbook as an introduction to system programming and software design in Linux or any Unix-based environment. You’ll also find it useful as a guideline or a supplement to any C++ book.By the end of this book, you’ll have gained advanced knowledge and skills for working with Linux or any Unix-based environment.

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner.The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding.As you progress, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you’ll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area.By the end of this book, you’ll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.

Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation

Koki Saitoh

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You’ll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you’ll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning.

Web Penetration Testing with Kali Linux. Build your defense against web attacks with Kali Linux 2.0

Juned Ahmed Ansari, Juned Ahmed Ansari

RESS Essentials. If you're involved in Responsive Web Design, then you'll find this book on the fundamental features and techniques of RESS a very useful tool. It's the ideal introduction to a revolutionary new methodology

Jerzy Kurowski, Joanna Krenz-Kurowska, Jerzy Kurowski

RESS is a new methodology in the world of web design and development. It attempts to solve the problems that accompany the RWD (responsive web design) approach to web design. RESS is still in its infancy, but it is growing at an exponential rate.RESS Essentials shows you how to make server-side applications smarter and more aware of a visitor's environment limitations (device, screen size, and browser). This allows you to create faster and more reliable websites. Through this book, you will build a solid base of knowledge on RESS-related technologies, while the step-by-step tutorials will help you to create your own RESS system.This book is an introduction to RESS alchemy and gives you an incentive to build your own RESS lab. It will give you a broad overview of the multiple techniques used to code responsive websites in responsible ways. Beginning with an overview of RWD, you will learn the steps involved in setting up RWD for client-side development. You will then learn how to scale images using client- and server-side technology. By the end of this book, you will have learned about the implementation of RESS application patterns, browser feature detection, and various RESS architectures. RESS Essentials will also teach you how to use jQuery with some RWD design patterns and how to employ REST API for RWD pages.

Unreal Engine 4 AI Programming Essentials. Create responsive and intelligent game AI using Blueprints in Unreal Engine 4

Jie Feng, Peter Newton

Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game.

AI and Business Rule Engines for Excel Power Users. Capture and scale your business knowledge into the cloud – with Microsoft 365, Decision Models, and AI tools from IBM and Red Hat

Paul Browne, Alex Porcelli

Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel.This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft’s business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You’ll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing.By the end of the book, you’ll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You’ll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools.

Learning Tableau. Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards

Joshua N. Milligan

Responsive Web Design with HTML5 and CSS. Build future-proof responsive websites using the latest HTML5 and CSS techniques - Fourth Edition

Ben Frain

Responsive Web Design with HTML5 and CSS, Fourth Edition, is a fully revamped and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS techniques for responsive web design. It emphasizes pragmatic application, teaching you the approaches needed to build most real-life websites, with downloadable examples in every chapter.Written in the author's friendly and easy-to-follow style, this edition covers all the newest developments and improvements in responsive web design, including approaches for better accessibility, variable fonts and font loading, and the latest color manipulation tools making their way to browsers. You can enjoy coverage of bleeding-edge features such as CSS layers, container queries, nesting, and subgrid.The book concludes by exploring some exclusive tips and approaches for front-end development from the author.By the end of the book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. Read through as a complete guide or dip in as a reference for each topic-focused chapter.

Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects

Cory Lesmeister

RAG-Driven Generative AI. Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone

Denis Rothman

RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs.This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs.You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.

Atlassian DevOps Toolchain Cookbook. Recipes for building, automating, and managing applications with Jira, Bitbucket Pipelines, and more

Robert Wen, Alex Ortiz, Edward Gaile, Rodney Nissen

Implementing DevOps practices and toolchains for automated testing and deployment can accelerate product development with minimal errors in the production environment. However, creating DevOps toolchains by integrating tools from various vendors presents challenges for both administrators and developers. Written by four well-known experts from the Atlassian community, this book addresses the complexities of DevOps toolchain creation and integration by leveraging Atlassian’s Open DevOps solution.Starting with a holistic overview of the DevOps and Atlassian Open DevOps solution, you’ll learn to integrate Jira with other tools. You’ll then find out how to create and integrate a CI/CD pipeline in Bitbucket for automated testing and deployment to Docker containers. With step-by-step guidance, you’ll connect Jira and Bitbucket with other tools, such as Snyk for security and SonarQube for testing, to form an extensive toolchain. You’ll also learn how Compass uses CheckOps for observability and how to use Confluence for documentation and reporting. Finally, you’ll leverage Opsgenie’s ChatOps functionality to enhance collaboration between developers and operations teams.By the end of this book, you’ll be able to establish your DevOps toolchain by integrating Atlassian tools to automate and optimize the software development lifecycle and beyond.

Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud

Scott Bateman, Janahan Gnanachandran, Jeff DeMuth

Managing geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data.You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning.By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.

Learning Construct 2. Design and create your own engaging, extensible, and addictive game using Construct 2

Aryadi Subagio

Oracle SOA Governance 11g Implementation. Successfully implement SOA governance using Oracle SOA Governance Suite 11g with the help of practical examples and real-world use cases with this book and

Luis Augusto Weir, Luis Weir

Service-oriented Architecture (SOA) is an architectural style created to address the challenges posed by today’s highly distributed, fast-paced computing. This goal is achieved by constructing business-focused software systems from loosely coupled, interoperable building blocks called Services. Organizations often fail to successfully implement SOA due to a lack of effective governance. Oracle SOA Governance is a comprehensive, service-orientated architecture governance solution that is designed to make the transition to SOA easier.Oracle SOA Governance 11g Implementation illustrates how to successfully implement SOA governance in your organization. To achieve this, we describe how goals and objectives need to be clearly laid out and used to align governance processes with governance tools, governance tools with people, and people with the different roles and responsibilities that are required to implement effective governance.Oracle SOA Governance 11g Implementation begins with a short but concise overview of SOA governance. We then go to explore real world examples, based on previous experiences and working solutions, in order to learn the concepts of Oracle SOA Governance Suite.We will also learn how to implement an OER-centric SDLC process to address your organizations design-time governance requirements. Next, we will explore OSR, and discover how to use it to expose service implementations to consumers based on UDDI concepts. We will explore the features available within Web Service Manager (WSM), Oracle Enterprise Manager (OEM), and Business Transaction Manager (BTM). Finally, we discover how OER can be extended to govern Oracle Application Integration Architecture (AIA) implementations.Discover and learn how to use Oracle SOA Governance Suite to address your specific design-time and runtime governance challenges.