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[booksz]

Data Science (Chapman & Hall/CRC Data Science Series) by Tiffany Timbers, Trevor Campbell, Melissa Lee
English | August 22, 2024 | ISBN: 103257223X | 452 pages | MOBI | 23 Mb
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.

Key Features:Includes autograded worksheets for interactive, self-directed learning.Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair.Is designed for a broad audience of learners from all backgrounds and disciplines.

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Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertise by John Howells
English | July 26th, 2024 | ISBN: 1837637296 | 270 pages | True PDF | 5.11 MB
Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results

Key Features:
* Master the concepts of statistics and ML to interpret models and guide decisions
* Identify valuable AI use cases and manage data science projects from start to finish
* Empower top data science teams to solve complex problems and build AI products
Book Description:
As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams.
This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.
By the end of this book, you'll be able to characterize the data within your organization and frame business problems as data science problems.
Who is this book for?
This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.
What you will learn
* Discover how to interpret common statistical quantities and make data-driven decisions
* Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning
* Find out how to evaluate statistical and machine learning models
* Understand the data science lifecycle, from development to monitoring of models in production
* Know when to use ML, statistical modeling, or traditional BI methods
* Manage data teams and data science projects effectively

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Data Science Training - Supervised Learning: Ein praktischer Einstieg ins überwachte maschinelle Lernen
Deutsch | 2024 | ISBN: 3662679590 | 595 Pages | PDF (True) | 12 MB
Dieses Lehrbuch erklärt auf narrative und direkte Weise die wichtigen Zusammenhänge zwischen Data Science, Künstlicher Intelligenz und anderen Disziplinen und Domänen wie Datenschutz und Ethik, mit Fokus auf überwachtes Lernen (Supervised Learning).Wir begleiten Anna und Karl während ihrer Traineephase in einer internationalen Versicherung. Schritt für Schritt reifen sie zu Data Scientists, indem sie sich intensiv mit der Titanic-Katastrophe auseinandersetzen. Anna kann Python programmieren, während Karl ein grafisches Werkzeug (KNIME Analytics Platform) benutzt. Bei ihren Untersuchungen stoßen sie auf interessante Fakten und Mythen. Mit Unterstützung von Max und Sophia verarbeiten sie historische Daten, um Vorhersagen zu erstellen (Predictive Analytics). Dabei benutzen sie Methoden und Algorithmen des maschinellen Lernens.Begleitende Zusatzmaterialien (KNIME Workflows, Jupyter Notebooks, Erklärvideos) stehen den Lernenden online zur Verfügung. Und wenn in diesemBuch Anna und Karl sich auf Themen des überwachten Lernens konzentrieren, werden wir künftig mit ihnen noch weitere Gebiete der Data Science entdecken.

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Data Science with .NET and Polyglot Notebooks: Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel by Matt Eland
English | August 30th, 2024 | ISBN: 183588296X | 404 pages | True PDF | 11.72 MB
Expand your skillset by learning how to perform data science, machine learning, and generative AI experiments in .NET Interactive notebooks using a variety of languages, including C#, F#, SQL, and PowerShell

Key Features
* Conduct a full range of data science experiments with clear explanations from start to finish
* Learn key concepts in data analytics, machine learning, and AI and apply them to solve real-world problems
* Access all of the code online as a notebook and interactive GitHub Codespace
Book Description
As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI. With Microsoft's .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers.
This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you'll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field.
By the end of the book, you'll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem.
Who is this book for?
This book is for experienced C# or F# developers who want to transition into data science and machine learning while leveraging their .NET expertise. It's ideal for those looking to learn ML.NET and Semantic kernel and extend their .NET skills to data science, machine learning, and Generative AI Workflows.
What you will learn
* Load, analyze, and transform data using DataFrames, data visualization, and descriptive statistics
* Train machine learning models with ML.NET for classification and regression tasks
* Customize ML.NET model training pipelines with AutoML, transforms, and model trainers
* Apply best practices for deploying models and monitoring their performance
* Connect to generative AI models using Polyglot Notebooks
* Chain together complex AI tasks with AI orchestration, RAG, and Semantic Kernel
* Create interactive online documentation with Mermaid charts and GitHub Codespaces

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Data Science with Python: From Data Wrangling to Visualization by Laszlo Bocso
English | August 30, 2024 | ISBN: N/A | ASIN: B0DFT3S114 | 544 pages | EPUB | 4.47 Mb
Data Science with Python: From Data Wrangling to Visualization

Unlock the power of data science with Python in this comprehensive guide that takes you from beginner to advanced practitioner. Whether you're an aspiring data scientist, a seasoned analyst looking to expand your skillset, or a software developer venturing into the world of data, this book is your roadmap to mastering the essential tools and techniques of modern data science.
Key Features:
* Learn Python programming fundamentals for data science
* Master data wrangling and preprocessing techniques
* Perform exploratory data analysis (EDA) to uncover insights
* Implement machine learning algorithms for predictive modeling
* Create stunning data visualizations to communicate results effectively
* Develop and deploy data-driven applications
In today's data-driven world, the ability to extract meaningful insights from vast amounts of information is a critical skill. "Data Science with Python" provides a structured approach to learning, covering the entire data science pipeline from data collection to visualization and deployment.
Starting with the basics of Python programming, you'll quickly progress to working with powerful libraries such as Pandas, NumPy, and Scikit-learn.
Through hands-on examples and real-world projects, you'll gain practical experience in:
1. Data Wrangling: Learn to clean, transform, and preprocess raw data into a format suitable for analysis. Master techniques for handling missing values, outliers, and inconsistent data.
2. Exploratory Data Analysis: Dive deep into your data using statistical methods and visualization techniques to uncover patterns, trends, and relationships.
3. Machine Learning: Implement popular algorithms for classification, regression, and clustering. Understand the principles behind model selection, training, and evaluation.
4. Data Visualization: Create compelling charts, graphs, and interactive dashboards using MatDescriptionlib, Seaborn, and Descriptionly to effectively communicate your findings.
5. Big Data Processing: Introduction to handling large datasets using tools like PySpark and Dask.
6. Deep Learning: Get started with neural networks using popular frameworks like TensorFlow and PyTorch.
7. Natural Language Processing: Learn techniques for analyzing and processing text data.
8. Time Series Analysis: Explore methods for working with time-dependent data and forecasting.
9. Deployment: Develop data-driven web applications using Flask or Streamlit and deploy them to the cloud.
Each chapter includes:
* Clear explanations of key concepts
* Step-by-step tutorials with code examples
* Practical exercises to reinforce learning
* Tips and best practices from industry experts
By the end of this book, you'll have a solid foundation in data science and be able to:
* Confidently work with various types of data using Python
* Apply machine learning algorithms to solve real-world problems
* Create insightful visualizations to communicate your findings effectively
* Build and deploy data-driven applications
Whether you're looking to start a career in data science, enhance your current role, or simply expand your skill set, "Data Science with Python" provides the knowledge and hands-on experience you need to succeed in this exciting field.
Perfect for:
* Aspiring data scientists and analysts
* Software developers transitioning to data roles
* Students in data science and analytics programs
* Professionals seeking to upskill in Python and data science
Requirements:
* Basic understanding of programming concepts
* Familiarity with Python is helpful but not required
* No prior experience in data science or statistics needed

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Data Structures for Engineers and Scientists Using Python by Rakesh Nayak, Nishu Gupta
English | September 18, 2024 | ISBN: 1032463686 | 410 pages | MOBI | 15 Mb
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using the queue model and topological sorting.

This bookiscusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms.Includes programming tips to highlight important concepts and help readers avoid common programming errors.Presents each concept of data structure with a different approach and implements the same using Python programming.Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review.Covers fundamentals of Python up to object-oriented concepts including regular expression.It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.

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Data Titans: Navigating the AI Revolution in Big Data by Dr. Hesham Mohamed Elsherif
English | January 14, 2024 | ISBN: N/A | ASIN: B0CSF6PYL1 | 294 pages | EPUB | 1.26 Mb
In an era where data is likened to oil for its immense value, the fusion of Artificial Intelligence (AI) and Big Data stands as a beacon of transformative power. This book, "Data Titans: Navigating the AI Revolution in Big Data," is born from a compelling need to dissect and understand this monumental shift. The journey of writing this book has been as enlightening as it is challenging, diving into the intricate webs spun by AI in the vast universe of Big Data.

The genesis of this exploration was a simple question: How is AI reshaping the landscape of Big Data? However, as I delved deeper, this question branched into a myriad of facets - ethical considerations, technological advancements, industry-specific applications, and the very future we are steering towards. This book is a culmination of those explorations, aimed at providing a comprehensive yet accessible guide to anyone intrigued by the interplay of AI and Big Data.
One of the primary motivations behind this book is the demystification of AI in the context of Big Data. The term 'AI' often conjures images of science fiction, yet its real-world applications are both more mundane and more profound. From predicting consumer behavior to revolutionizing healthcare diagnostics, AI's integration with Big Data is reshaping industries and, by extension, our daily lives. This book aims to shine a light on these changes, offering insights into how AI processes, interprets, and leverages vast datasets.
Another key aspect I have endeavored to address is the ethical and privacy concerns surrounding AI and Big Data. As much as these technologies promise unprecedented growth and opportunities, they also pose significant challenges related to data security, privacy, and ethical decision-making. These concerns are not just academic; they have real-world implications for businesses, governments, and individuals alike. Through this book, readers will gain an understanding of these challenges and the evolving frameworks aimed at addressing them.
Furthermore, "Data Titans" does not shy away from the technical complexities inherent in AI and Big Data. However, the technical discourse is balanced with practical insights, making it accessible to a broader audience, including professionals, students, and enthusiasts. The inclusion of case studies, industry-specific applications, and expert opinions provides a real-world anchor to the theoretical discussions.
The book also looks towards the future, offering a glimpse into emerging trends and technologies that are poised to redefine the AI and Big Data landscape. In doing so, it serves as a guide for professionals and students seeking to carve out a career in this dynamic field.
In writing "Data Titans," I have drawn not only from academic research and industry reports but also from conversations with experts, practitioners, and educators in the field of AI and Big Data. Their insights and experiences have been invaluable in shaping the narrative of this book.
As you embark on this journey through the pages of "Data Titans," I invite you to engage with an open mind and a keen sense of curiosity. Whether you are a seasoned professional in the field of AI and Big Data or an intrigued newcomer, this book aims to enrich your understanding and spark a deeper interest in this fascinating and ever-evolving domain.
Welcome to the world of Data Titans, where the future of AI and Big Data unfolds.
Dr. Hesham Mohamed Elsherif

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Data Visualization in R and Python
English | 2025 | ISBN: 1394289480 | 892 Pages | PDF | 39 MB
The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of 'artificial intelligence,' has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow.

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Data Visualization in R and Python by Marco Cremonini
English | December 12th, 2024 | ISBN: 1394289480 | 576 pages | True PDF | 24.72 MB
Communicate the data that is powering our changing world with this essential text

The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of 'artificial intelligence,' has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow.
Data Visualization in R and Python offers a thorough overview of the key dimensions of this subject. Beginning with the fundamentals of data visualization with Python and R, two key environments for data science, the book proceeds to lay out a range of tools for data visualization and their applications in web dashboards, data science environments, graphics, maps, and more. With an eye towards remarkable recent progress in open-source systems and tools, this book offers a cutting-edge introduction to this rapidly growing area of research and technological development.
Data Visualization in R and Python readers will also find:
* Coverage suitable for anyone with a foundational knowledge of R and Python
* Detailed treatment of tools including the GgDescription2, Seaborn, and Altair libraries, Descriptionly/Dash, Shiny, and others
* Case studies accompanying each chapter, with full explanations for data operations and logic for each, based on Open Data from many different sources and of different formats
Data Visualization in R and Python is ideal for any student or professional looking to understand the working principles of this key field.

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Data Wrangling: Essential Concepts for Analytics by Dr K Seefeld
English | August 7, 2024 | ISBN: N/A | ASIN: B0DCKDWD1R | 163 pages | EPUB | 3.81 Mb
Data Wrangling is the foundational step of data analytics, and the study of data wrangling is an important part of preparation for analytical work.

This book provides a solid conceptual understanding of the process of data wrangling needed for effective analytics including:
* What is data wrangling?
* Foundational skills for wrangling
* Data cleaning
* Data modifying
* Data restructuring
This book is software independent and can serve for independent study or as a text for a course in an analytics program.

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Database Design: A Practical Approach to Building and Managing Efficient Data Systems by May Sherry
English | September 5, 2024 | ISBN: N/A | ASIN: B0DG8ZYGVF | 95 pages | EPUB | 1.04 Mb
Are you new to the world of database design and eager to build a solid foundation in creating and managing efficient data systems?Database Design for Beginners: A Practical Approach to Building and Managing Efficient Data Systemsis your essential guide to mastering the principles and practices of effective database design.

This book is tailored specifically for beginners, offering a clear and practical approach to understanding the core concepts and techniques needed to design robust databases. Whether you're looking to manage data for a small project or lay the groundwork for a more complex system, this guide provides step-by-step instructions and real-world examples to help you succeed.
Inside this book, you'll find:
* Fundamental Concepts: An introduction to database systems, including relational and NoSQL databases, and the importance of database design.
* Data Modeling: Learn how to create Entity-Relationship (ER) diagrams and apply normalization techniques to ensure data integrity and reduce redundancy.
* Schema Design: Discover how to design tables, define keys, and create indexes to optimize database performance.
* Implementation: Get hands-on guidance on choosing the right Database Management System (DBMS), translating ER diagrams into SQL, and managing table creation and modification.
* Data Integrity and Security: Understand how to enforce constraints, validate data, and secure your database with proper permissions and encryption.
* Querying and Optimization: Master basic and advanced SQL queries, and learn how to tune and maintain your database for optimal performance.
* Practical Examples: Explore case studies and real-world scenarios from various domains to see how database design principles are applied in practice.
What sets this book apart:
* Beginner-Friendly Approach: Simplifies complex concepts and presents them in an accessible manner, ideal for those new to database design.
* Practical Focus: Provides actionable insights and examples to help you apply what you've learned in real-world situations.
* Future Trends: Offers a glimpse into emerging technologies and trends in database management, ensuring you stay ahead in the field.

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Database Design and Modeling with Google Cloud: Learn database design and development to take your data to applications, analytics, and AI by Abirami Sukumaran
English | December 29, 2023 | ISBN: 180461145X | 234 pages | EPUB | 13 Mb
Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needsKey FeaturesFamiliarize yourself with business and technical considerations involved in modeling the right databaseTake your data to applications, analytics, and AI with real-world examplesLearn how to code, build, and deploy end-to-end solutions with expert adviceBook Description

In the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently.
The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you'll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You'll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples.
By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.What you will learnUnderstand different use cases and real-world applications of data in the cloudWork with document and indexed NoSQL databasesGet to grips with modeling considerations for analytics, AI, and MLUse real-world examples to learn about ETL servicesDesign structured, semi-structured, and unstructured data for your applications and analyticsImprove observability, performance, security, scalability, latency SLAs, SLIs, and SLOsWho this book is for
This book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data. Table of ContentsData, Databases, and DesignHandling Data on the CloudDatabase Modeling for Structured DataSetting Up a Fully Managed RDBMSDesigning an Analytical Data WarehouseDesigning for Semi-structured DataUnstructured Data ManagementDevOps and DatabasesData to AI - Modeling Your Databases for Analytics and MLLooking Ahead - Designing for LLM Applications

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Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases by Ibrar Ahmed, Alkin Tezuysal
English | July 26, 2024 | ISBN: 1803233478 | True PDF | 222 pages | 4.46 MB
Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises

Key Features
Get to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQLExplore database integration with web apps, emerging trends, and real-world case studiesLeverage practical examples and hands-on exercises to reinforce learning
Book Description
Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.
As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you'll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world.
By the end of this book, you'll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.
What you will learn
Design a schema, create ERDs, and apply normalization techniquesGain knowledge of installing, configuring, and managing MySQL and PostgreSQLExplore topics such as denormalization, index optimization, transaction management, and concurrency controlScale databases with sharding, replication, and load balancing, as well as implement backup and recovery strategiesIntegrate databases with web apps, use SQL, and implement best practicesExplore emerging trends, including NoSQL databases and cloud databases, while understanding the impact of AI and ML
Who this book is for
This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. While prior knowledge of MySQL and PostgreSQL is not necessary, some familiarity with at least one relational database management system (RDBMS) will help you get the most out of this book.

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[booksz]

Databases for Data-Centric Geotechnics
by Kok-Kwang Phoon and Chong Tang
English | 2025 | ISBN: 1032578955 | 511 pages | True PDF EPUB | 206.58 MB

Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision making in geotechnical practice using data-driven methods. This first volume pertains to site characterization. The opening chapter presents an in-depth analysis of site data attributes, including the establishment of a new taxonomy of site data under "4S" (site generalizations, spatial features, sampling characteristics, and smart data) to provide a novel agenda for data-driven site characterization. Type 3 machine learning methods (disruptive value) are possible as sensors become more pervasive and more intelligent. A comprehensive overview of site characterization information is also presented with a focus on its availability, coverage, value to decision making, and challenges. The remaining 13 chapters cover databases of soil and rock properties and the application of these databases to rock socket behavior, rock classification, settlement on soft marine clays, permeability of fine-grained soils, and liquefaction among others. The databases were compiled from studies undertaken in many countries including Austria, Australia, Brazil, Canada, China, France, Finland, Germany, India, Iran, Japan, Korea, Malaysia, Mexico, New Zealand, Norway, Singapore, Sweden, Thailand, the United Kingdom, and the United States.

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[booksz]

Dating, Loving, and Leaving a Narcissist: Essential Tools for Improving or Leaving Narcissistic and Abusive Relationships by Darlene A Lancer LMFT
English | April 6, 2022 | ISBN: 0578373181 | 198 pages | PDF | 2.50 Mb
Do you feel trapped between your love and your pain, long for peace but feel exhausted, belittled, and confused by a narcissist?

If you're in an abusive relationship and either don't want to leave or are having difficulty doing so, Dating, Loving, and Leaving a Narcissist is for you.
It's insightful, researched, and empathetic. The core problem is that narcissists prioritize power and sacrifice the relationship to get it, while their partners prioritize the relationship and sacrifice themselves to keep it. Dating, Loving, and Leaving a Narcissist offers hope and can help you restore your self-esteem and rebalance power in an abusive or narcissistic relationship. It includes an in-depth analysis of the relationship, Essential Tools for Improving and Leaving it, how to make changes, and how to assess its prognosis. It will help you leave if that's what you choose.
This workbook is packed with healing exercises, checklists, and many suggestions, including a strategic step-by-step plan with scripts to confront abuse and get your needs met. You will reclaim yourself and improve your relationship, whether the narcissist is your partner, parent, child, sibling, or co-worker or doesn't have a narcissistic personality disorder. In sum, you will have practical plans you can implement to better your relationship with yourself and your loved one and be able to determine whether and how to leave the relationship. You williscover the diagnosis, type, and deep motivations of a narcissistRecognize the warning signs when dating a narcissistIdentify the behavior and what to expect in narcissistic relationshipsUnderstand your role and attraction to a narcissistRegain your independence, confidence, and self-esteemRebalance the power in the relationshipFind out how to confront narcissistic abuse effectivelyBe able to assess your relationship and prepare to leave
Chapter 1 examines a narcissistic personality disorder, types of narcissists, narcissistic parents, and the cause and signs of narcissism.
Chapter 2 focuses on the underlying features, behaviors, motivations, and traits. You will discover how to identify the type you're dealing with, and why narcissists act the way they do.
Chapter 3 explains narcissistic behavior and defenses and all varieties of narcissistic abuse including the most subtle forms.
Chapters 4 and 5 describe codependency and the typical personality of people who love narcissists and what makes them susceptible to narcissists and abuse.
Chapters 6 and 7 look at the relationship, starting with the mutual attraction and the signs and problems that arise when dating and loving a narcissist. They cover issues such as control, intimacy, emotional unavailability, love-bombing, trauma bonds, ghosting, and gaslighting and how to determine whether a narcissist is capable of love. If you've been repeatedly emotionally abandoned, you'll learn how to prevent its recurrence.
Chapters 8 and 9 are about taking action and changing the balance of power. A blueprint is laid out to follow in order to change the relationship dynamics. Chapter 9 details a step-by-step game plan to effectively communicate with the narcissist in your life and confront their narcissistic behavior and subtle forms of emotional abuse. Scripts are suggested you can practice setting boundaries and ask for changes that you want. It also offers advice for navigating couples therapy.
The final chapters 10-12 discuss leaving your relationship and moving on. They cover why it's so difficult, how to decide, and what to expect, including hoovering and flying monkeys, plus practical advice regarding tactics and strategies in divorcing a narcissist. The stages of recovery from narcissistic abuse are set forth with guidance and recommendations for creating a single life, dating, and therapy.

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[booksz]

Dead Meat: Competing Vitalities, Cultivated Meat Imaginaries and Anthropocene Diets
English | 2024 | ISBN: 9819790484 | 498 Pages | PDF EPUB (True) | 4.4 MB
As we confront the environmental challenges of the Anthropocene, cellular agriculture has emerged as a revolutionary technology promising to reshape global food systems. Dead Meat offers a critical examination of this biotechnological shift, exploring how cultivated meat production reconfigures the relationship between life, death, and food in the context of competing ecological, social, and ethical imperatives. Elisabeth Abergel provides a compelling analysis of cultivated meat through the lens of "competing vitalities", questioning how these new forms of food production are narrated and imagined in the Anthropocene. She delves into the sociotechnical imaginaries that promise sustainability, animal welfare, and climate resilience, while probing the tensions between these narratives and the political economy of industrial food production. Drawing on interdisciplinary perspectives from the environmental humanities, science and technology studies, political economy, and political ecology, Abergel critiques the idea that cultivated meat is a simple technological fix to the climate crisis. Instead, she exposes how these innovations both challenge and reinforce capitalist logics that dominate agricultural systems. Dead Meat is essential reading for scholars and students in environmental sociology, food politics, science and technology studies, environmental humanities, and political economy, as well as for activists and policymakers interested in sustainable food futures and planetary health.

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[booksz]

Deal or No Deal: Dominate Business Acquisitions with Seller Financing by Mike Warren
English | March 29, 2024 | ISBN: N/A | ASIN: B0CXDRVZKB | 142 pages | EPUB | 1.99 Mb
Maximize Your Investment Potential: Master Seller Financing Techniques with Mike Warren's Revolutionary Guide

Dive into the world of strategic business acquisitions and unlock the power of seller financing with Mike Warren's groundbreaking book, "Deal or No Deal: Dominate Business Acquisitions with Seller Financing." Whether you're an entrepreneur, investor, or business owner, this book is your ultimate guide to bypassing traditional financial barriers and catapulting your success in the competitive market.
Why This Book?Expert Strategies: Learn from Mike Warren, a seasoned business maverick and investor, renowned for his innovative approaches to business and real estate investments.Seller Financing Demystified: Discover the secrets to utilizing seller financing, a powerful tool that enables you to buy businesses and real estate with minimal capital.Real-Life Success Stories: Be inspired by success stories and case studies that illustrate how others have prospered by applying the strategies within.Comprehensive Guides: From negotiating terms to conducting due diligence, get step-by-step instructions that cover every aspect of seller financing deals.Inside the BookUnlock Creative Financing Solutions: Explore creative strategies for acquiring businesses and properties, including zero-down payment options and leveraging seller financing to its fullest potential.Navigate Legal and Financial Terrain: With Mike's insights, navigate the complex legal and financial considerations of seller financing, ensuring your deals are both profitable and protected.Achieve Financial Freedom: Learn how to buy low, sell high, and create a stream of passive income through smart acquisitions, setting the stage for long-term financial freedom.Who Should Read This Book?Aspiring and seasoned entrepreneurs looking to expand their business portfolios.Investors seeking alternative financing methods to traditional bank loans.Real estate professionals aiming to close more deals with creative financing options.Anyone interested in building wealth through smart and strategic business acquisitions.Transform Your Approach to Business Acquisitions
"Deal or No Deal" isn't just a book; it's a catalyst for change in your financial and professional life. Embrace the opportunity to learn from a master of business strategy and finance. Equip yourself with the knowledge to negotiate, finance, and close deals that others would walk away from, and step into a world of unlimited potential.

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[booksz]

Dealing With Difficult People: Practical Techniques For Managing Challenging Relationships by Geoff Marsh
English | March 28, 2024 | ISBN: N/A | ASIN: B0CZG3JHVW | 222 pages | EPUB | 0.27 Mb
Unlock the secrets to mastering difficult interactions.

Have you ever wondered why some people seem to effortlessly command respect, whilst others struggle to be heard?
Or wanted to know how to disarm even the most hostile adversaries with ease?
Are you tired of feeling powerless in the face of challenging personalities? Do you dread encounters with bullies, manipulators, or snipers, unsure of how to respond effectively?
This guide delves into these mysteries and more, offering practical and valuable insights to deal with difficult people and transform your interactions.
With over four decades of experience as a renowned international performance trainer and coach for some of the world's leading companies, Geoff Marsh unveils proven strategies and techniques to help you navigate even the most challenging situations with confidence and grace.
In this essential handbook, you will:Gain a deeper understanding of the psychology behind difficult behavioursUnderstand the personal biases and limiting beliefs that hinder your successLearn how to be more assertive to express your needs and set boundaries effectivelyImprove your communications skills with techniques such as 'I' messages, power questioning and active listeningThis book includes strategies for dealing with:Bullies and DominatorsAlways-right AutocratsJeering JestersDouble-Dealing DeceiversScornful SnipersMoaning MonstersAnd more...

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[booksz]

Reginald Hill, "Death Comes for the Fat Man"
English | 2008 | pages: 419 | ISBN: 0060821434 | PDF | 1,3 mb
Frombestselling and award-winning crime writer Reginald Hill, a "chilling, frightening, page-turning tale" featuring Yorkshire coppers Andy Dalziel and Peter Pascoe, "that won't let you go, even when you finally put it down." (Providence Journal).

Caught in the blast of a huge explosion, Detective Superintendent Andy Dalziel lies on a hospital bed, with only a life support system and his indomitable will between him and the Great Beyond. Meanwhile, his colleague, Chief Inspector Peter Pascoe, is determined to find those responsible.
Ignoring his own injuries, the advice of his friends, and the pleas of his wife, Pascoe follows a winding trail to the Templars, a mysterious group that believes the only way to fight terrorism is through terror. Where the arm of the law cannot reach, their work begins. Soon Pascoe comes to suspect that they may have support and sympathy in high places, from men ready to accept the death of a policeman or of any other innocent bystander as regrettable but unavoidable collateral damage.
From the streets of Manchester to the Yorkshire countryside, Pascoe searches for the truth. And above it all, like a huge zeppelin threatening to break from its moorings, hovers the disembodied spirit of Andy Dalziel.

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Jessica C. E. Gienow-Hecht, "Decentering America "
English | ISBN: 1845452054 | 2007 | 422 pages | PDF | 29 MB
"Decentering" has fast become a dynamic approach to the study of American cultural and diplomatic history. But what precisely does decentering mean, how does it work, and why has it risen to such prominence? This book addresses the attempt to decenter the United States in the history of culture and international relations both in times when the United States has been assumed to take center place. Rather than presenting more theoretical perspectives, this collection offers a variety of examples of how one can look at the role of culture in international history without assigning the central role to the United States. Topics include cultural violence, inverted Americanization, the role of NGOs, modernity and internationalism, and the culture of diplomacy. Each subsection includes two case studies dedicated to one particular approach which while not dealing with the same geographical topic or time frame illuminate a similar methodological interest. Collectively, these essays pragmatically demonstrate how the study of culture and international history can help us to rethink and reconceptualize US history today.

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