Bøger udgivet af 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.

DESCRIPTION This book gives you the knowledge to create real-world automation using Salesforce Flows. It starts with a detailed review of business process automation and the fundamentals used to discover, model, analyze, and optimize business processes. You will learn how each step of the process aligns with the information required to create efficient and effective Salesforce Flows.You will then examine how core features included within Salesforce are used to establish and enhance business processes across your instance and applications. You will see how Salesforce features were developed to help improve the collection of data, automate business processes, and enhance outcomes from the start. You will learn the best practices and frameworks used to improve how your business functions continually. With step-by-step instructions, you will learn how to create, test, debug, and improve Salesforce Flows using Flow Builder for several types of flows, including Screen, Record-triggered, and Screenless flow. You will examine how to design subflows that can reduce redundancy within your Salesforce instance. You will also learn when and how to use each flow type in an optimal way. You will examine how the use of advanced features such as AI for Flow, Flow Trigger Explorer, Flow Orchestrator, and Transform features improve your business automation outcomes. KEY FEATURES ● Learn how BPM simplifies creating flows and why hyper-automation and composability are crucial for businesses.● Work with Screen, Screenless, and Triggered flows while troubleshooting and fixing errors effectively.● Understand how AI improves automation and creates smarter workflows.WHAT YOU WILL LEARN● Learn to use Salesforce Flows to automate complex business processes.● Understand the different types of flows and when to use them.● Improve usability, scalability, and security for your applications with flows.● Identify and use best practices when creating new process automation.● Understand BPM fundamentals and how to use them to create better flows.WHO THIS BOOK IS FORThis book is for administrators, developers, business analysts, and architects who want to learn and master Salesforce Flows. It is ideal for those looking to automate complex business processes, improve efficiency, and integrate AI capabilities within their environment.

DESCRIPTION.NET Multi-platform App UI (.NET MAUI) is a cross-platform framework for creating native mobile and desktop apps with C# and eXtensible Application Markup Language (XAML). Using .NET MAUI, you can develop apps running on Android, iOS, macOS, and Windows from a single shared codebase.This book guides readers through the fundamentals of .NET MAUI cross-platform application development. It begins by exploring the concept of cross-platform development and introduces .NET MAUI, highlighting its evolution from Xamarin.Forms. The book then covers essential topics such as setting up the development environment, learning C# programming fundamentals, and mastering XAML for defining the user interface, including data binding. Through a series of practical projects, including a Color Picker, Tip Calculator, BMI Calculator, Unit Converter, and Weather App, readers gain hands-on experience in applying .NET MAUI concepts to build real-world mobile applications.The readers will gain a solid foundation in developing cross-platform applications using .NET MAUI. They will gain enough knowledge and skills to build simple applications for Windows, macOS, Android, and iOS.WHAT YOU WILL LEARN¿ Explore .NET MAUI, its evolution from Xamarin, supported platforms, and key features of this modern framework.¿ Set up a development environment with Visual Studio IDE and emulators for hands-on app creation.¿ Master C# programming essentials, the core language required for building applications in .NET MAUI.¿ Create engaging user interfaces with XAML.¿ Build five real-world apps, including a Color Picker, Tip Calculator, BMI Calculator, Unit Converter, and Weather App, using .NET MAUI.WHO THIS BOOK IS FORThis book is ideal for aspiring and intermediate developers interested in building cross-platform mobile applications. Prior programming experience, preferably with object-oriented programming concepts, is beneficial but not strictly required.

DESCRIPTION"Digital Image Processing Using Python" offers a comprehensive guide to mastering image processing techniques through practical Python implementations. It equips you with the essential tools and knowledge to manipulate, analyze, and transform digital images using the powerful programming language, Python.This book offers a comprehensive exploration of digital image processing, combining theoretical foundations with practical applications. Starting with fundamental concepts like image representation and pixel neighborhoods, the book teaches Python programming and essential libraries for image manipulation. It covers a wide range of techniques, including spatial and frequency domain filtering, non-linear processing, noise reduction, wavelet transforms, and binary morphology. Advanced topics such as phase-based processing, multi-resolution analysis, and morphological operations are also explored in depth. The book provides practical examples and exercises to reinforce learning and equip readers with the skills needed to effectively process and analyze digital images for various applications.By integrating Python code with visual examples, you will gain practical experience and insights that are directly applicable to your work. This approach ensures that you not only learn theoretical concepts but also understand how to implement them effectively in real-world situations.WHAT YOU WILL LEARN¿ Implement image processing techniques using Python libraries and tools.¿ Understand core concepts like filtering, segmentation, and enhancement.¿ Apply practical Python code to real-world image processing tasks.¿ Develop skills to analyze and manipulate digital images effectively.¿ Create and visualize image processing algorithms with hands-on examples.WHO THIS BOOK IS FORThis book is perfect for undergraduate and master's level students seeking to grasp image processing concepts or professionals working in fields like computer vision, artificial intelligence, or medical imaging.

DESCRIPTION Mastering Agile for Enterprises is the definitive guide for leaders, managers, and teams ready to embrace Agile and transform their organizations. This comprehensive resource equips you with the tools, strategies, and insights needed to implement Agile frameworks effectively, build high-performing teams, and drive sustainable business transformation across industries.This book provides a practical guide to Agile methodologies, starting with the core Agile mindset and principles. It explains the benefits of Agile, like faster delivery, better collaboration, and customer satisfaction. You will explore various frameworks with real-world examples, learn how to build strong Agile teams, and tackle challenges effectively. The book also highlights Agile's adaptability to remote work and its applications beyond software in areas like marketing, HR, and education. Lastly, it discusses emerging trends and the vital role of leadership in driving successful Agile transformations.By arming yourself with the knowledge and tools presented in this book, you will be well-positioned to use the full functionality of Agile within your organization. This translates to significant benefits, including increased efficiency, improved product quality, and enhanced customer satisfaction. KEY FEATURES ● Learn how Agile fosters innovation, teamwork, and success in any environment.● Gain practical skills to manage projects efficiently and scale effectively.● Build trust, autonomy, and safety to achieve peak performance and continuous improvement.WHAT YOU WILL LEARN● Develop an Agile mindset and implement frameworks like Scrum and SAFe.● Learn practical strategies to empower teams and build an Agile team culture. ● Learn to adapt Agile for remote teams and lead effectively across industries. ● Discover how to apply Agile across various industries, including marketing, human resources, and education.● Stay ahead with trends like AI, hybrid models, and sustainable practices.WHO THIS BOOK IS FORThis book is perfect for leaders, executives, project managers, Agile coaches, and practitioners who aim to enhance agility, innovation, and team performance. It is also for marketing, HR, and education professionals looking to apply Agile beyond software and teams navigating remote or hybrid work for better collaboration and efficiency.

DESCRIPTIONBlockchain is a revolutionary technology that shook the core of the finance world. However, Blockchain is not just about cryptocurrency.This book focuses on blockchain, its features, and the core technologies used to build the Blockchain network. In the first section, you will learn about blockchain in-depth. You will learn how these currencies work and how you can build your applications using them. This edition focuses on Ethereum as a platform for building decentralized applications (DApps) and smart contract development using Solidity. You will learn about decentralized databases like OrbitDB, BigchainDB, TiesDB, and Bluzelle, and understand their role in building next-generation applications.You will also learn about various databases and how to use them in detail. Lastly, you will understand how the existing DApps work, their architecture, and how they are incorporated into the application for the end-user.KEY FEATURES¿ Explore the engineering mechanism of blockchain, cryptocurrency, and Ethereum.¿ Know-how of peer-to-peer networks, IPFS, and decentralized databases.¿ Explore the workings of DApps and build your own blockchain app.¿ This edition includes consensus algorithms like PoW and PoS, scaling solutions, and interoperability.WHAT YOU WILL LEARN¿ Learn to build your own P2P network.¿ Cutting-edge coverage on how cryptocurrency works.¿ Learn smart techniques to develop your own DApps on the Ethereum platform.¿ Learn to use decentralized databases, including OrbitDB.¿ Implement PoW, PoS, and PBFT to secure blockchain networks and analyze sharding and layer-2 techniques for scalability.WHO THIS BOOK IS FORThis book is for anyone who wants to become a blockchain developer or wants to build an application using blockchain. Full stack developers, software engineers, web programmers, and beginners who are interested in blockchain can find this book a true handy guide to begin their career in blockchain.

DESCRIPTIONGenerative AI is revolutionizing the way we interact with technology. Imagine creating hyper-realistic images, composing original music pieces, or generating creative text formats, all with the help of AI. This book provides a comprehensive exploration of generative AI and its transformative impact across various industries.This book begins with the basics of AI, explaining ML and design patterns to build a solid foundation. It delves deeply into generative AI and then progresses through machine learning, deep learning, and essential architectures such as CNNs, GANs, Diffusion, RNNs, LSTMs, and Transformers. It covers practical applications, from regression and classification to advanced use cases such as image generation, editing, document search, content summarization, and question answering. Readers will also learn to build prototypes like a Document Q&A bot, research assistant, and prompt playground, while mastering techniques such as continued pre-training, fine-tuning, model merging, retrieval-augmented generation, and agentic AI.By the end of this book, you will transform from a curious beginner to a confident, generative AI user. You will possess the knowledge and skills to explore its capabilities for creative expression, problem-solving, and even business innovation. You will be able to confidently navigate the world of generative AI, turning your ideas into reality.WHAT YOU WILL LEARN¿ Explore concepts of AI, ML, deep learning, and generative AI.¿ Learn about computer vision and generative image AI supported by coding examples.¿ Discover NLP Techniques, Transformer architecture components and generative text AI supported by coding examples.¿ Understand prompt engineering and LLM frameworks while building prototypes.¿ Examine the role of LLM operations throughout the entire LLM lifecycle.¿ Investigate the potential impact of generative AI on enterprises and develop business strategies.WHO THIS BOOK IS FORThis book is ideal for anyone curious about generative AI, regardless of their prior technical expertise. Whether you are a business professional, a student, an artist, or simply someone fascinated by the future of technology, this book will provide you with a clear and accessible understanding of this groundbreaking field.

DESCRIPTION Vulnerability Assessment and Penetration Testing (VAPT) combinations are a huge requirement for all organizations to improve their security posture. The VAPT process helps highlight the associated threats and risk exposure within the organization. This book covers practical VAPT technologies, dives into the logic of vulnerabilities, and explains effective methods for remediation to close them.This book is a complete guide to VAPT, blending theory and practical skills. It begins with VAPT fundamentals, covering lifecycle, threat models, and risk assessment. You will learn infrastructure security, setting up virtual labs, and using tools like Kali Linux, Burp Suite, and OWASP ZAP for vulnerability assessments. Application security topics include static (SAST) and dynamic (DAST) analysis, web application penetration testing, and API security testing. With hands-on practice using Metasploit and exploiting vulnerabilities from the OWASP Top 10, you will gain real-world skills. The book concludes with tips on crafting professional security reports to present your findings effectively.After reading this book, you will learn different ways of dealing with VAPT. As we all come to know the challenges faced by the industries, we will learn how to overcome or remediate these vulnerabilities and associated risks. KEY FEATURES ● Establishes a strong understanding of VAPT concepts, lifecycle, and threat modeling frameworks.● Provides hands-on experience with essential tools like Kali Linux, Burp Suite, and OWASP ZAP and application security, including SAST, DAST, and penetration testing.● Guides you through creating clear and concise security reports to effectively communicate findings.\WHAT YOU WILL LEARN● Learn how to identify, assess, and prioritize vulnerabilities based on organizational risks.● Explore effective remediation techniques to address security vulnerabilities efficiently.● Gain insights into reporting vulnerabilities to improve an organization's security posture.● Apply VAPT concepts and methodologies to enhance your work as a security researcher or tester.WHO THIS BOOK IS FORThis book is for current and aspiring emerging tech professionals, students, and anyone who wishes to understand how to have a rewarding career in emerging technologies such as cybersecurity, vulnerability management, and API security testing.

DESCRIPTION Mastering Domain-Driven Design provides a comprehensive guide to understanding and implementing DDD, an approach to software development that helps you tackle complex projects by aligning your code with the core business concepts.The book explains the process for designing and modernizing software applications, applying Domain-Driven Design methods to all design and development stages. It describes creating business models using canvases and capability maps, gathering business requirements using domain storytelling and visual glossaries, designing the macro architecture using event storming, and designing single services using tactical and API design. It also describes how to involve all development or modernization partners, such as business experts, developers, or customers, in application development in a highly collaborative and engagement-driven process.By the end of this book, you will have the knowledge and practical skills to confidently apply Domain-Driven Design principles in your own projects. Whether you are building new software or working with existing systems, this book will help you to create robust, maintainable, and business-aligned solutions.WHAT YOU WILL LEARN● Wardley map for prioritization of capabilities.● Domain storytelling to gather business requirements.● Visual glossary to define the ubiquitous language.● Event storming to define bounded context and domain events.● OpenAPI to define synchronous interfaces.● AsyncAPI to define asynchronous interfaces.WHO THIS BOOK IS FORThis book is for software developers, architects, and technical leaders who want to learn how to build robust and maintainable software systems. Readers should have a basic understanding of software development principles and object-oriented programming concepts.

DESCRIPTION Elevate your application's performance with "Performance Engineering Best Practices." This comprehensive guide provides the knowledge and techniques to optimize your software's speed, scalability, and reliability. Learn the skills of performance engineering, refine your craft, identify and eliminate performance bottlenecks, and ensure your applications deliver exceptional user experiences. This book explores Performance Engineering, covering foundational concepts, advanced techniques, and emerging trends. It defines performance engineering versus performance testing, highlights its role in organizational success, and stresses integrating performance throughout development. Key topics include service level objectives (SLOs), cloud performance challenges, and balancing capacity with costs. The book details optimization techniques for cloud platforms, Java, databases, and architectural styles while addressing observability with logging, error handling, and alert strategies. It concludes with insights into AI/ML integration and the impact of evolving technologies.After reading the book, the reader will gain a holistic understanding of performance and what to do with the design process, implementation, and testing stages of the development lifecycle to ensure fast IT platforms. KEY FEATURES ● Learn to build high performance IT platforms, enhance runtime environments, and use Kubernetes effectively.● Discover methods to accelerate cloud platform delivery while ensuring quality with automated performance checks.● Understand efficient design patterns and coding practices to maintain fast-running distributed platforms without extensive code refactoring.WHAT YOU WILL LEARN● Understand the basics of performance engineering and how it differs from Performance Testing.● Learn to apply performance principles throughout the software development lifecycle (SDLC).● Explore cloud-specific challenges, like scaling, regional latency, and managing costs.● Master techniques for optimizing JVM, writing efficient Java code, and database performance.● Discover tools for performance automation, observability, alerting, and creating scalable architectures.WHO THIS BOOK IS FORThis book is for site reliability engineers, architects, developers, managers, and performance engineers. It showcases a holistic understanding of processes related to performance engineering for building fast IT platforms.

DESCRIPTIONThis book introduces an innovative approach to cloud management by combining Pulumi's IaC tool with TypeScript. It enables automated, error-free provisioning, simplifies collaboration, and provides practical skills for efficient resource management.The book deeply explores Pulumi, a modern IaC platform that is reshaping cloud development with TypeScript. From the foundational principles of IaC to leveraging Pulumi's multi-language support, readers are guided through building, deploying, and managing infrastructure efficiently. Key principles such as abstraction, scalability, and version control are explored, helping developers transform their cloud operations. The book highlights Pulumi's unique strengths, including support for multiple programming languages, seamless integrations with major cloud providers, and automation capabilities for DevOps workflows.By the end of this book, you will be equipped to automate your cloud infrastructure with Pulumi and TypeScript. You will have the skills to manage and deploy complex infrastructure configurations with ease, ensuring efficient and reliable cloud operations.KEY FEATURES¿ Learn Pulumi's infrastructure as code (IaC) features and integrations effectively.¿ Discover real-world examples and success stories in automation.¿ Master dynamic and scalable cloud infrastructure management.WHAT YOU WILL LEARN¿ Use Pulumi to automate and orchestrate cloud infrastructure.¿ Leverage TypeScript for declarative and dynamic IaC development.¿ Implement robust disaster recovery and redundancy strategies.¿ Integrate seamlessly with DevOps workflows and CI/CD pipelines.¿ Optimize resource management and enhance scalability.WHO THIS BOOK IS FORThis book is for infrastructure engineers automating cloud provisioning, TypeScript developers extending skills to infrastructure, DevOps professionals optimizing workflows with IaC, and cloud enthusiasts exploring modern tools for scalable, secure infrastructure.

DESCRIPTIONThis book is a comprehensive guide to mastering Golang, one of the most efficient and developer-friendly programming languages available today. It is designed to help developers, software engineers, and tech enthusiasts alike, to build high-performance, secure, and scalable applications using Go.This book introduces you to Go programming, focusing on efficient software development while addressing common challenges. It starts with Go installation, setting up the Vim IDE, and core concepts like concurrency using goroutines and channels. You will explore advanced topics, including data structures, algorithms, high-performance networking, and building secure applications. The book also covers essential deployment strategies like microservices and CI/CD pipelines, along with expert techniques for debugging and error handling. It concludes with a detailed case study, a review of Go basics, and a quick-reference cheat sheet, giving you practical tools to master Go programming and tackle real-world projects with confidence.By the end of this book, you will be well-versed in Golang's capabilities, allowing you to confidently apply the language to your job roles in software development, backend engineering, and system design. This book is an essential resource for anyone looking to leverage Golang to build robust, high-performing applications in a variety of professional settings.KEY FEATURES¿ Comprehensive guide to Golang, covering basic to advanced programming concepts.¿ In-depth focus on concurrency, networking, security, and error handling in Go.¿ Practical insights for building high-performance, scalable, and secure applications.WHAT YOU WILL LEARN¿ Set up and configure a Go development environment using Vim IDE.¿ Leverage Go's concurrency model to build high-performance applications.¿ Implement efficient data structures to optimize your Go programs.¿ Develop secure applications by following Go's best security practices.¿ Deploy Go applications efficiently for production environments.¿ Apply advanced error handling and debugging techniques for stability.WHO THIS BOOK IS FORThis book is primarily intended for software developers and engineers who are interested in learning and mastering the Go programming language. Prior experience with programming in any language is beneficial but not strictly required.

DESCRIPTIONThis book will help you master the software testing strategies, by providing foundational knowledge about software testing, practical insights and forward-looking perspectives. The book starts with the core principles of software testing and its critical role as a risk management function, ensuring the reliability and quality of software systems.The book covers topics such as test environment setup, performance optimization and data-driven decision making, providing the reader with the tools to tackle complex testing challenges. Ethical considerations, lean testing practices, and the application of testing strategies across various phases of development are highlighted to encourage a holistic approach to software quality assurance.Looking ahead, the book explores the emerging trends and future directions in software testing, including the impact of AI, IoT, and blockchain, and the growing importance of continuous learning in the field. By the end of this book, you will be a confident and competent software testing professional, capable of safeguarding the quality and reliability of your applications.KEY FEATURES¿ Learn to build effective testing strategies for different project types.¿ Utilize various testing techniques, including performance, security, and usability testing.¿ Learn how to design, build, and manage effective test environments.WHAT YOU WILL LEARN¿ Master core principles and methodologies of software testing.¿ Develop effective and adaptable testing strategies.¿ Integrate human intuition and automation.¿ Tackle challenges with advanced tools and data-driven techniques.¿ Prepare for future trends, including AI and IoT testing.WHO THIS BOOK IS FORThis book is for software testers, developers, and QA professionals seeking to enhance their understanding of testing strategies and practices. It is also valuable for managers and teams aiming to improve software quality.

DESCRIPTIONGit is a widely used version-control system in software development, essential for managing infrastructure as code (IaC), where code defines infrastructure. Kubernetes enhances IaC with GitOps, using Git as the single source of truth for managing operations. The Argo Family offers cloud-native tools designed to simplify the management of jobs and applications on Kubernetes, seamlessly integrating with the GitOps framework.This book begins with a quick start on setting up Argo Projects in a local cluster, followed by an in-depth look at concepts and architecture. Readers will then explore production readiness, security considerations, and team-specific needs, such as user access with single sign-on, declarative configuration changes, observability, and disaster recovery. Once familiar with a production-ready setup, the book deliberates on integrating Argo Workflow, Argo Events, and Argo Rollouts, highlighting their combined capabilities. Finally, the book compares Argo with alternative tools, helping readers assess and choose the best options for their needs.By the end of the book, readers will have a solid understanding of GitOps fundamentals, Kubernetes integration, and advanced deployment strategies. Covering the entire Argo ecosystem with Argo CD, Argo Workflows, Argo Rollouts, and Argo Events. This guide will help readers utilize the full potential of these powerful tools, transforming how they manage and deliver applications in their organizations.WHAT YOU WILL LEARN¿ Automate deployment processes with Argo CD.¿ Deploy new features and software versions confidently with Rollouts.¿ Leverage cloud-native workflows to automate daily tasks in familiar Kubernetes environments.¿ Collaborate seamlessly across teams using Argo Projects' robust capabilities, such as Argo CD Notifications and Argo Events.¿ Use Argo tools like Argo Rollouts to identify and resolve issues quickly.¿ Stay up-to-date with the latest DevOps trends and technologies.WHO THIS BOOK IS FORThe target audience for this book includes developers, DevOps engineers, platform engineers, and individuals in leadership roles or senior architects who want to learn about cloud-native technologies and Argo Projects.

DESCRIPTIONAdvanced Malware Analysis and Intelligence teaches you how to analyze malware like a pro. Using static and dynamic techniques, you will understand how malware works, its intent, and its impact. The book covers key tools and reverse engineering concepts, helping you break down even the most complex malware.This book is a comprehensive and practical guide to understanding and analyzing advanced malware threats. The book explores how malware is created, evolves to bypass modern defenses, and can be effectively analyzed using both foundational and advanced techniques. Covering key areas such as static and dynamic analysis, reverse engineering, malware campaign tracking, and threat intelligence, this book provides step-by-step methods to uncover malicious activities, identify IOCs, and disrupt malware operations. Readers will also gain insights into evasion techniques employed by malware authors and learn advanced defense strategies. It explores emerging trends, including AI and advanced attack techniques, helping readers stay prepared for future cybersecurity challenges.By the end of the book, you will have acquired the skills to proactively identify emerging threats, fortify network defenses, and develop effective incident response strategies to safeguard critical systems and data in an ever-changing digital landscape.WHAT YOU WILL LEARN¿ Gain a complete understanding of malware, its behavior, and how to analyze it using static and dynamic techniques.¿ Reverse engineering malware to understand its code and functionality.¿ Identifying and tracking malware campaigns to attribute threat actors.¿ Identify and counter advanced evasion techniques while utilizing threat intelligence to enhance defense and detection strategies.¿ Detecting and mitigating evasion techniques used by advanced malware.WHO THIS BOOK IS FORThis book is tailored for cybersecurity professionals, malware analysts, students, and incident response teams. Before reading this book, readers should have a basic understanding of operating systems, networking concepts, any scripting language, and cybersecurity fundamentals.

DESCRIPTIONStatistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based on data. This book teaches you how to use Python to implement statistical concepts and techniques in a practical and effective way. You will also learn how to perform data science and analysis to generate insights, patterns, and trends.This book introduces the basics of statistics, such as descriptive and inferential statistics, ML, probability distributions, hypothesis testing, and confidence intervals. It also covers advanced topics such as regression analysis, linear algebra, statistical tests, time series, survival, and correlation analysis. You will learn how to identify patterns, interpret data, and make data-driven decisions. The book emphasizes practical learning with examples, exercises, and code snippets using popular Python libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy to perform various statistical tasks.By the end of this book, you will have a solid foundation in statistics and Python programming. You will be able to explore, analyze, and visualize data using Python. You will also be able to perform various statistical tests and interpret the results.WHAT YOU WILL LEARN¿ Master data manipulation, cleaning, and visualization techniques using Python.¿ Apply core statistical methods to analyze real-world datasets.¿ Build and evaluate statistical models for regression, classification, and clustering.¿ Interpret and communicate insights derived from statistical analyses effectively.¿ Explore advanced statistical techniques like time series and survival analysis.WHO THIS BOOK IS FORThis book is ideal for data scientists, ML engineers, statisticians, Python practitioners, researchers, and anyone who works with data and statistics.