Böcker utgivna av BPB Publications

Blockchain revolution: Pioneering the next wave of digital innovation¿¿DESCRIPTION Blockchain secures individual transactions with cryptography, creating a tamper-proof chain. In contrast, distributed ledger technologies cover various technologies that may not adhere strictly to blockchain's specific structure.We will start the book by defining blockchain elements, comparing it to DLT, exploring security mechanisms, and looking at Bitcoin's history, transactions, wallets, keys, mining, and forensics. Further in the book, we will explore Ethereum's evolution, Ethereum virtual machine, and smart contracts. We will also discover permissioned blockchains with Hyperledger Fabric and understand crypto assets, ERC20, ERC721 tokens, NFTs, and cryptocurrencies. With real-world examples and practical insights, you will gain a solid grasp of the fundamentals and practical applications that make blockchain a game-changer in various industries. By the end of this book, you will be equipped with the understanding of blockchain technology, its potential applications, and its impact on the future. You will be able to confidently discuss blockchain concepts and evaluate its potential for your own projects.WHAT YOU WILL LEARN¿ Concept of distributed ledger system and blockchain.¿ Concept of consensus and mining in blockchain through the Bitcoin network.¿ Understanding Ethereum and develop-deploy smart contracts using different tools and frameworks.¿ Exploring permissioned blockchain and Hyperledger Fabric.¿ Applying blockchain to different domains such as IoT, AI, and cybersecurity.WHO THIS BOOK IS FORWhether you are a student, developer, entrepreneur, or curious individual, this book is your gateway to unlock the possibilities that blockchain and DLT bring to the forefront of innovation.

DESCRIPTIONThe purpose of the book Web Automation Testing Using Playwright is to teach you how to use Playwright to automate your web testing. Playwright, a powerful automation tool developed by Microsoft, is a modern web automation framework that is fast, reliable, and easy to use.This book begins by introducing automation testing, its benefits, and Playwright, covering setup, scripting, and Playwright's architecture. It guides you through creating frameworks, selector strategies, and handling complex web elements like shadow DOM and iframes. Explore Playwright features such as Codegen, Inspector, UI mode, debugging with Trace Viewer, and generating detailed reports. Learn advanced techniques like building frameworks using Page Object Model (POM), integrating Cucumber/BDD, API testing, HTTP request interception, and accessibility and visual testing. Additionally, the book explores test execution in CI/CD tools, parallel testing, AI-driven test automation, leveraging generative AI like ChatGPT, and future trends in test automation.By the end of this book, you will be a web automation expert, writing efficient tests that validate web app functionality. Automate complex scenarios, handle edge cases, and leverage AI for intelligent testing.WHAT YOU WILL LEARN¿ Writing testing scripts for end-to-end, functional, API, accessibility, and visual tests with Playwright.¿ Mastering UI elements like alerts, tabs, drag-and-drop, iframes, and shadow DOM handling.¿ Debugging effectively using Playwright features like Codegen, Inspector, UI mode, and Trace Viewer.¿ Implementing Cucumber/BDD, Page Object Model (POM), and CI/CD pipeline integration with Playwright.¿ Leveraging AI tools for test automation, including script creation, debugging, and understanding generative AI like ChatGPT.WHO THIS BOOK IS FORThe target audience for this book is test automation engineers, web developers, product owners, and anyone who wants to learn about tool Playwright and test their application from scratch to the end of the applications.

DESCRIPTIONExplore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc.This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly.This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI.KEY FEATURES¿ Comprehensive guide to mastering generative AI and deep learning basics.¿ Covers text, audio, and video generation with practical examples.¿ Insights into emerging trends and potential advancements in the field.WHAT YOU WILL LEARN¿ Understand the fundamentals of deep learning and neural networks.¿ Master generative models like GANs, VAEs, and Transformers.¿ Implement AI techniques for text, audio, and video creation.¿ Apply generative AI in real-world scenarios and applications.¿ Navigate ethical challenges and explore the future of AI.WHO THIS BOOK IS FORThis book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning.

DESCRIPTIONPostgreSQL, a robust and versatile relational database management system (RDBMS), is gaining immense popularity due to its reliability, scalability, and rich feature set. This book is your indispensable companion to mastering PostgreSQL, helping you become a great PostgreSQL developer and create amazing database-driven applications.This book provides a thorough introduction to PostgreSQL, covering the fundamentals of database creation and management to advanced topics like data modeling, query optimization, and performance tuning. Explore PostgreSQL's powerful features, including multi-version concurrency control (MVCC), data types, constraints, and indexing. Learn how to install, configure, and apply PostgreSQL in real-world scenarios. You will also develop essential SQL skills to manipulate and analyze data, design efficient schemas with normalization, and use stored procedures and triggers to automate tasks effectively.By the end of this book, you will have a solid understanding of PostgreSQL's core concepts and best practices. You will be able to create complex database structures, write efficient SQL queries, optimize database performance, and implement robust data management strategies.KEY FEATURES¿ A comprehensive overview of PostgreSQL, covering all essential topics from database fundamentals to advanced features.¿ Relates concepts to real-world scenarios, helping you understand how to apply PostgreSQL in practical applications.¿ Provides step-by-step instructions and guidance, making it easy to follow along and learn effectively. It also includes MCQs in each chapter to engage the readers.WHAT YOU WILL LEARN¿ Database fundamentals like creation, structure, data types, and constraints.¿ Data manipulation operations like insert, update, delete, retrieve, filter, and sort.¿ Subqueries, joins and data formats for advanced data manipulation¿ Optimize database performance using indexes and views.¿ Examine closely advanced topics like transactions, procedures, functions, triggers, and administration.WHO THIS BOOK IS FORThis book is for anyone who wants to learn or improve their skills in using PostgreSQL. It is suitable for developers, data analysts, database administrators, and students who are interested in working with databases and building data-driven applications.

DESCRIPTIONTableau is one of the leading business intelligence and data visualization tools that fulfill almost all the requirements for getting insights from huge data and solving complex business queries using simple and complex visualizations. This book covers all the features supported by Tableau, from basics to advanced.Master data storytelling with Tableau by learning to connect, clean, and analyze data from various sources. This book covers essential chart types like bar, line, and pie charts while introducing advanced features like filters, LOD expressions, and dual-axis charts. Create interactive dashboards by combining visualizations, adding controls, and customizing designs to engage your audience. Use storytelling techniques to present insights effectively. With advanced visualizations like combo and Gantt charts, this guide equips you with the skills to communicate data clearly and make informed, data-driven decisions.This book begins with very basic information that even a beginner can understand. Gradually, the book covers intermediate and advanced features of Tableau, so it can help readers of all levels become experts in Tableau.WHAT YOU WILL LEARN¿ Understand different types of data sources and how to connect them.¿ Learn techniques for cleaning and preparing data for visualization.¿ Perform calculations, aggregations, and level of detail (LOD) expressions.¿ Create both, simple and advanced visualizations to present data.¿ Design visually engaging dashboards and storyboards to answer business questions effectively.WHO THIS BOOK IS FORThis book is for students and professionals who want to learn and have a rewarding career in data visualization using Tableau. It is also for anyone who wants to become a data analyst, Tableau developer, business analyst, etc.

DESCRIPTIONFor most modern-day data, graph data models are proving to be advantageous since they facilitate a diverse range of data analyses. This has spiked the interest and usage of graph databases, especially Neo4j. We study Neo4j and cypher along with various plugins that augment database capabilities in terms of data types or facilitate applications in data science and machine learning using plugins like graph data science (GDS).A significant portion of the book is focused on discussing the structure and usage of graph algorithms. Readers will gain insights into well-known algorithms like shortest path, PageRank, or Label Propagation among others, and how one can apply these algorithms in real-world scenarios within a Neo4j graph.Once readers become acquainted with the various algorithms applicable to graph analysis, we transition to data science problems. Here, we explore how a graph's structure and algorithms can enhance predictive modeling, prediction of connections in the graph, etc. In conclusion, we demonstrate that beyond its prowess in data analysis, Neo4j can be tweaked in a production setup to handle large data sets and queries at scale, allowing more complex and sophisticated analyses to come to life.KEY FEATURES¿ Utilizing graphs to improve search and recommendations on graph data models.¿ Understand GDS and Neo4j graph algorithms including cluster detection, link prediction, and centrality.¿ Complex problem-solving for predicting connections, application in ML pipelines and GNNs using graphs.WHAT YOU WILL LEARN¿ Understand Neo4j graphs and how to effectively query them with cypher.¿ Learn to employ graphs for effective search and recommendations around graph data.¿ Work with graph algorithms to solve problems like finding paths, centrality metrics, and detection of communities and clusters.¿ Explore Neo4j's GDS library through practical examples.¿ Integrate machine learning with Neo4j graphs, covering data prep, feature extraction, and model training.WHO THIS BOOK IS FORThe book is intended to serve as a reference for data scientists, business analysts, graph enthusiasts, and database developers and administrators who work or intend to work on extracting critical insights from graph-based data stores.

DESCRIPTIONIntroducing "Salesforce Automation with Salesforce Flow and Apex", a practical guide designed for anyone wanting to learn Salesforce automation. Whether you are just starting out or looking to build on your existing skills, this book is here to help you navigate the world of Salesforce flow and automation techniques.This book provides a comprehensive guide to Salesforce flow, a powerful automation tool within the Salesforce platform. It covers foundational concepts like flow types, elements, and debugging techniques. The book explains advanced topics such as screen flows, record-triggered flows, schedule-triggered flows, and platform event-triggered flows. It also explores the integration of flows with Apex to enhance functionality. Additionally, the book covers best practices for performance optimization, error handling, and security. It provides guidance on migrating from traditional automation tools like workflow rule and process builder to flow.By the end of this book, you will be ready to make a real impact with your Salesforce skills, driving efficiency and innovation in your organization.KEY FEATURES¿ A comprehensive introduction to Salesforce flow and automation with Apex and its benefits.¿ Practical guidance on creating and configuring user-friendly interfaces with screen flows.¿ Best practices for optimizing flow performance, handling errors, and ensuring security.WHAT YOU WILL LEARN¿ Grasp the importance of Salesforce automation and its transformative impact on business efficiency.¿ Explore Salesforce flow features and learn to create, debug, and optimize various flows, including screen and record-triggered flows.¿ Master autolaunched flows, integrate them with Apex, and enhance automation using platform events and scheduled flows.¿ Implement secure flow sharing, migrate from legacy automation tools, and integrate flows with external systems for seamless data exchange.¿ Combine flows and Apex triggers to build advanced, real-time automation solutions tailored to business needs.WHO THIS BOOK IS FORThis book is intended for Salesforce professionals, beginners, and students eager to learn automation within the Salesforce ecosystem. It is ideal for those pursuing roles such as Salesforce administrators, developers, business analysts, testers/QA, consultants, and architects.

DESCRIPTIONAdopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration.Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges. Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business.WHAT YOU WILL LEARN¿ Grasp how AI is revolutionizing business operations and driving innovation.¿ Understand AI adoption frameworks and learn how to choose the right one for your organization.¿ Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.¿ Discover the role of AI in Web 3.0 and its intersection with blockchain.¿ Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.

DESCRIPTIONThis book explores how AI, blockchain, and the IoT can work together to build a more sustainable and efficient tech ecosystem. This book breaks down complex concepts, making them accessible to readers of all backgrounds. By focusing on the convergence of these technologies, it reveals how they are shaping a future where autonomous systems could operate independently of human intervention.This book explores the intersection of AI, blockchain, and robotics, covering their history, technology, and real-world applications. It explains decentralization and its technical foundations. The book also addresses ethical and practical issues, providing valuable insights for those interested in the future of technology and its impact on society. By examining AI, blockchain, and robotics both individually and in combination, it helps readers understand their potential and the broader implications for industries and communities.From privacy and security considerations to real-world case studies, this book offers a roadmap for understanding and leveraging the next wave of disruptive technologies. By the end, you will be equipped with a clear vision of the future and the knowledge to navigate it, empowered to make informed decisions about this exciting tech revolution.KEY FEATURES¿ Explores AI, blockchain, and robotics individually and in combination.¿ Provides historical context, technical explanations, practical applications, ethical considerations, and future outlook.¿ Features insights from experts and offers practical advice for individuals and organizations.WHAT YOU WILL LEARN¿ Convergence of AI, blockchain, and robotics to create autonomous ecosystems.¿ The potential impact of tech on industries and society.¿ Key privacy and security considerations in emerging technologies.¿ Real-world applications and case studies of tech integration.¿ The future of innovation and sustainable technological development.WHO THIS BOOK IS FORThis book explores emerging technologies at the concept level making it suitable for novice readers. Then, the convergence of these technologies are explored, eventually offering insights into building a sustainable, autonomous future.

DESCRIPTIONThis book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described.This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics.This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries.WHAT YOU WILL LEARN¿ Understand cloud computing concepts, including service models, deployment models, and security.¿ Explore cloud robotics history, benefits, and AI integration in robotic systems.¿ Learn AI algorithms, ML, and deep learning for robotics applications.¿ Gain skills in computer vision, object detection, and enhancing robot perception using AI.¿ Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience.WHO THIS BOOK IS FORThe primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming.