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Mastering Python: A Comprehensive Approach for Beginners and Beyond
English | 2025 | ASIN: B0F6XCRT9H | 429 pages | EPUB (True) | 27.52 MB
Mastering Python is a comprehensive guide that takes you on a practical journey from the fundamentals of Python programming to advanced techniques across various domains. This book is carefully crafted for both beginners and aspiring developers who want to build real-world skills and apply Python in modern technological fields.

The book begins by establishing a strong foundation in Python - covering essential concepts such as variables, data types, loops, functions, and object-oriented programming - before moving on to more powerful capabilities like file handling, working with APIs, and managing data structures.
What makes Mastering Python unique is its hands-on approach to teaching through modules that reflect real-world needs. Readers will explore the pyttsx3 library for converting text to speech, enabling them to build applications with voice output. With the Faker module, they'll learn how to generate realistic data for testing and development, making them more efficient in software creation.
For those interested in visual content, the book dives into the turtle module for drawing and simple animation, and Pillow (PIL) for professional image editing and manipulation. Readers will also gain practical knowledge in creating QR codes, setting up lightweight HTTP servers, sending emails using yagmail, and working with databases using SQLite3.
Other critical modules like pickle and json are explained in-depth to help readers master data serialization, a vital concept in modern software applications. Even the use of emojis is explored, showing how Python can be expressive and fun while remaining powerful.
Beyond the modules, Mastering Python prepares readers for broader opportunities. Whether your goal is to move into app development, graphic design, game development, data analysis, automation, or even artificial intelligence and machine learning, this book lays the essential groundwork. Each chapter is packed with explanations, examples, and mini-projects that gradually build your confidence and skills.
By the end of this book, readers won't just know Python-they will have mastered it in a way that opens doors to building real applications, solving real problems, and venturing into fields where Python is the backbone.
Mastering Python isn't just a book. It's a roadmap - a transformation from curious beginner to skilled Pythonist, equipped with the tools, libraries, and mindset needed to thrive in today's tech-driven world.

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[booksz]

Mastering Python Basics: Python, #1
English | 2025 | ISBN: 9798230248903 | 426 pages | EPUB (True) | 2.23 MB
Book Description for "Mastering Python Basics: A Beginner's Guide"

Are you ready to dive into the world of Python programming but don't know where to start? "Mastering Python Basics: A Beginner's Guide" is the ultimate resource for absolute beginners looking to build a strong foundation in Python.
This book takes you on a step-by-step journey, covering everything from basic syntax and data types to essential programming concepts like loops, functions, and object-oriented programming (OOP). With easy-to-follow explanations, practical examples, and hands-on exercises, you'll gain the confidence to start coding your own Python projects in no time!
What You'll Learn:
✅ Introduction to Python - Understand why Python is the most beginner-friendly language.
✅ Basic to Advanced Concepts - Learn variables, loops, conditionals, functions, and OOP.
✅ Real-World Applications - Apply Python to automation, web development, and more.
✅ Hands-On Exercises - Reinforce your learning with practical coding challenges.
✅ Step-by-Step Guidance - No prior programming experience needed!
Whether you want to kickstart your coding journey, build projects, or prepare for a career in programming, this book is your perfect starting point.
Start mastering Python today!

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Mastering Regular Expressions in Python: A Comprehensive Guide to Text Processing and Pattern Matching (Python Beast Series: Mastering the Code Jungle)
English | December 27, 2024 | ASIN: B0DRS5175W | 330 pages | PDF | 1.20 MB
"Mastering Regular Expressions in Python: A Comprehensive Guide to Text Processing and Pattern Matching"

Unlock the power of text processing and pattern matching with "Mastering Regular Expressions in Python." This comprehensive guide takes you on a journey from Regex novice to expert, providing a structured approach to understanding and implementing Regular Expressions in Python.
Whether you're a beginner programmer, experienced developer, data scientist, or web scraper, this book offers invaluable insights into harnessing the full potential of Python's 're' module. With a focus on practical applications and hands-on learning, you'll master the art of crafting efficient and powerful Regular Expressions to solve real-world programming challenges.
Key Features:
* Progressive learning path: Start with the basics and advance to complex concepts
* Hands-on approach: Packed with code snippets, exercises, and practical projects
* Real-world applications: Learn how to apply Regex in data validation, web scraping, and text analysis
* Performance optimization: Discover techniques to write efficient and optimized expressions
What You'll Learn:
1. Fundamentals of Regular Expressions
2. Python's 're' module and its functionalities
3. Basic and advanced pattern matching techniques
4. Grouping, capturing, and backreferences
5. Lookaheads, lookbehinds, and conditional matching
6. Optimizing Regex for performance
7. Applying Regex in real-world scenarios
This book is your ultimate companion for mastering text processing in Python. Each chapter builds upon the previous, ensuring a solid understanding of core concepts before moving on to more advanced topics. By the end of this book, you'll have the skills and confidence to tackle even the most complex text processing tasks with ease.
Perfect for:
* Python developers looking to enhance their text processing skills
* Data scientists working with unstructured text data
* Web developers handling form validation and data extraction
* Software engineers dealing with log parsing and analysis
* Students and educators in computer science and programming
* Anyone looking to automate text-based tasks in Python
Why This Book Stands Out:
* Comprehensive coverage: From basic syntax to advanced techniques
* Practical focus: Real-world examples and case studies
* Clear explanations: Complex concepts broken down into digestible chunks
* Interactive learning: Exercises and projects to reinforce understanding
* Up-to-date content: Covers the latest Python and Regex features
Don't let the power of Regular Expressions remain untapped in your Python toolkit. Whether you're looking to streamline your code, improve data processing efficiency, or tackle complex text analysis, "Mastering Regular Expressions in Python" is your go-to resource.
Elevate your Python programming skills, enhance your problem-solving abilities, and join the ranks of developers who harness the full potential of Regular Expressions. This book is not just about learning syntax; it's about mastering a skill that will prove invaluable throughout your programming career.
About the Author:
With years of experience in Python development and a passion for teaching, the author brings a unique blend of technical expertise and clear, accessible instruction. Having faced the challenges of learning Regex firsthand, the author crafted this book to be the guide they wish they had when starting out.
Ready to unlock the full potential of text processing in Python? Dive into "Mastering Regular Expressions in Python" and transform the way you work with text data. Whether you're automating tasks, analyzing large datasets, or building robust applications, the skills you'll gain from this book will prove invaluable time and time again.

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Mastering Regular Expressions: Unlock the Power of Pattern Matching for Text Processing, Data Validation, and Automation Across Multiple Languages
English | September 29, 2024 | ASIN: B0DJ98L4LT | 189 pages | PDF | 1.03 MB
Unlock the full potential of regular expressions (regex) with this comprehensive guide designed for developers, data scientists, and anyone who works with text. "Mastering Regular Expressions" takes you from the basics of pattern matching to advanced concepts, offering practical examples, real-world applications, and hands-on exercises to ensure you can use regex efficiently across multiple programming languages, including Python, JavaScript, Java, and more. Whether you're validating input, scraping data, or automating tasks, this book equips you with the knowledge and skills to handle text processing tasks like a pro.

Inside, you will learn:
How regular expressions work and their role in modern computing.
Basic and advanced regex syntax, including character classes, quantifiers, lookaheads, and lookbehinds.
Practical applications such as email validation, URL extraction, and text parsing.
How to use regex in different programming environments like Python, JavaScript, and Java.
Debugging and optimizing your regular expressions for maximum performance.
Hands-on exercises and practice problems to reinforce learning.

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Mastering Terraform: A practical guide to building and deploying infrastructure on AWS, Azure, and GCP
English | 2024 | ASIN: B0CZKFZ6NK | 789 pages | EPUB (True) | 14.72 MB
Learn from Terraform expert Mark Tinderholt and excel in designing and automating your infrastructure and CI/CD pipelines with Terraform across major cloud platforms and paradigms

Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Comprehensive guide to building end-to-end solutions with Terraform using VMs, Kubernetes, and Serverless architectures
In-depth coverage of integrating Terraform with HashiCorp tools and popular platforms like Packer, Docker, Kubernetes, and Helm
Practical insights on streamlining operations with GitHub Actions CI/CD pipelines using the Gitflow workflow
Book Description
As cloud technology and automation evolve, managing infrastructure as code, integrating security, and handling microservices complexity have become critical challenges. This book takes a hands-on approach to teaching Terraform, helping you build efficient cloud infrastructure using real-world scenarios and best practices.
It begins with an introduction to Terraform's architecture, covering its command-line interface and HashiCorp Configuration Language. You'll learn best practices, architectural patterns, and how to implement Terraform across virtual machines, Docker/Kubernetes, serverless environments, and cloud platforms like AWS, Azure, and GCP. The book also covers integrating Terraform into CI/CD pipelines with other technologies to automate infrastructure provisioning and management.
Additional chapters focus on security, monitoring, troubleshooting, and cost optimization. You'll also gain insights into preparing for the Terraform Associate certification. By the end, you'll have the skills to build, automate, and manage cloud infrastructure effectively.
What you will learn
Explore Terraform architecture and configurations in depth
Integrate Packer with Terraform for VM-based solutions
Containerize apps with Docker and Kubernetes
Explore GitOps and CI/CD deployment patterns
Transform existing applications into serverless architectures
Migrate and modernize legacy apps for the cloud
Implement Terraform on AWS, Azure, and GCP
Use Terraform with teams of varying size and responsibility
Who this book is for
This book is for DevOps engineers, cloud engineers, platform engineers, infrastructure engineers, site reliability engineers, developers, and cloud architects who want to utilize Terraform to automate their cloud infrastructures and streamline software delivery. Prior knowledge of cloud architecture, infrastructure, and platforms, as well as Terraform basics, will help you understand the topics present in this book.
Table of Contents
Understanding Terraform Architecture
Using HashiCorp Configuration Language
Harnessing HashiCorp Utility Providers
Foundations of Cloud Architecture - Virtual Machines and Infrastructure-as-a-Service
Beyond VMs - Core Concepts of Containers and Kubernetes
Connecting It All Together - GitFlow, GitOps, and CI/CD
Getting Started on AWS - Building Solutions with AWS EC2
Containerize with AWS - Building Solutions with AWS EKS
Go Serverless with AWS - Building Solutions with AWS Lambda
Getting Started on Azure - Building Solutions with Azure Virtual Machines
Containerize on Azure - Building Solutions with Azure Kubernetes Service
Go Serverless on Azure - Building Solutions with Azure Functions
Getting Started on Google Cloud - Building Solutions with GCE
Containerize on Google Cloud - Building Solutions with GKE

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Mastering the Essentials of Data Analysis Using Python
English | 2024 | ASIN: B0DJYP8GHF | 69 pages | PDF | 5.12 MB
Unlock the potential of data analysis with this comprehensive, beginner-friendly course, Mastering the Essentials of Data Analysis Using Python. This course is designed for anyone eager to dive into the world of data analysis, even if you have no prior experience. With seven meticulously crafted modules, you'll journey from the basics of Python to advanced data analysis techniques, empowering you with practical skills to make informed decisions using data.

Course Highlights:
Module 1: Introduction to Data Analysis
Get an overview of the data analysis landscape, its importance, and how it impacts various industries.
Module 2: Getting Started with Python
Learn the fundamentals of Python, a powerful and versatile language widely used in data analysis and beyond.
Module 3: Data Manipulation with Pandas
Master the Pandas library, a vital tool for data manipulation, cleaning, and transformation.
Module 4: Data Visualization
Discover how to create compelling visual representations of data, helping you to convey insights effectively.
Module 5: Data Cleaning and Preparation
Learn essential techniques to clean, preprocess, and prepare data for analysis.
Module 6: Statistical Analysis
Explore the foundations of statistics and how to apply them in Python for insightful data interpretations.
Module 7: Real-World Project
Apply everything you've learned by working on a mini project, which will give you hands-on experience with a real dataset.
Whether you're looking to enhance your skillset for career growth or want to explore a new field, this course will give you the tools you need to start your journey in data analysis with Python. Join us and master the essentials to make data-driven decisions confidently!

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Mastering Transformers: The Journey from BERT to Large Language Models and Stable Diffusion
English | June 3, 2024 | ASIN: B0BVFP8227 | 701 pages | EPUB (True) | 23.63 MB
Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively

Key Features
Understand the complexity of deep learning architecture and transformers architecture
Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems
Explore challenges in the preparation process, such as problem and language-specific dataset transformation
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Transformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.
Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You'll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you'll focus on using vision transformers to solve computer vision problems. Finally, you'll discover how to harness the power of transformers to model time series data and for predicting.
By the end of this transformers book, you'll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.
What you will learn
Focus on solving simple-to-complex NLP problems with Python
Discover how to solve classification/regression problems with traditional NLP approaches
Train a language model and explore how to fine-tune models to the downstream tasks
Understand how to use transformers for generative AI and computer vision tasks
Build transformer-based NLP apps with the Python transformers library
Focus on language generation such as machine translation and conversational AI in any language
Speed up transformer model inference to reduce latency
Who this book is for
This book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book's hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.
Table of Contents
From Bag-of-Words to the Transformer
A Hands-On Introduction to the Subject
Autoencoding Language Models
Autoregressive Language Models
Fine-Tuning Language Model for Text Classification
Fine-Tuning Language Models for Token Classification
Text Representation
Boosting Your Model Performance
Parameter Efficient Fine-Tuning
Zero-Shot and Few-Shot Learning in NLP
Explainable AI (XAI) for NLP
Working with Efficient Transformers
Cross-Lingual Language Modeling
Serving Transformer Models

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Mastering Webhooks in C#: A Step-by-Step Guide to Building, Consuming, and Securing Webhooks
English | 2025 | ASIN: B0DYZPV791 | 193 pages | EPUB (True) | 133.26 KB
Mastering Webhooks in C#: A Step-by-Step Guide to Building, Consuming, and Securing Webhooks

Webhooks have revolutionized how modern applications communicate, enabling real-time event-driven integrations between services. Whether you're working with APIs, automating workflows, or integrating third-party services, understanding how to create and consume webhooks in C# is an essential skill for any developer.
Mastering Webhooks in C# is a comprehensive guide that teaches you everything you need to know about webhooks, from the basics to advanced security, testing, and deployment. This book provides a step-by-step approach, ensuring that you can confidently implement webhooks in ASP.NET Core and work with services like GitHub, Stripe, PayPal, and more.
What You Will Learn:
Fundamentals of Webhooks - What they are, how they work, and their role in modern applications.
Creating Webhooks in C# - Build a webhook receiver and process real-time event data.
Sending Webhook Requests - Learn how to send webhook notifications and handle responses.
Security Best Practices - Implement authentication, validation, and prevent common security risks.
Debugging and Testing Webhooks - Use tools like ngrok to inspect and troubleshoot webhook calls.
Working with Third-Party Webhooks - Integrate GitHub, Stripe, PayPal, and other popular services.
Deploying and Scaling Webhooks - Host webhook services on Azure, AWS, or a VPS and ensure reliability.
Who Is This Book For?
C# developers who want to integrate webhooks into their applications.
Software engineers looking to build event-driven systems with real-time data exchange.
Backend developers who need to implement and manage webhook-based communication.
Tech enthusiasts eager to expand their knowledge of modern API and event-driven design.
Why Learn Webhooks in C#?
C# and ASP.NET Core are among the most widely used backend technologies for web applications, offering scalability, performance, and security. With the increasing demand for real-time integrations, learning how to build and manage webhooks will make you a more proficient and sought-after developer.
Whether you're building an internal API, integrating payment gateways, or automating event-driven workflows, this book provides practical knowledge and hands-on coding examples to help you master webhooks in C#.

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Mastering Windows Server 2025 - Fifth Edition
English | 2025 | ISBN: 9781837029914 | 566 Pages | EPUB | 39 MB
Written by a 10-time Microsoft MVP with 25 years of experience in IT and technical coaching, this book is a hands-on, practical guide to professionally managing Windows Server environments. From building servers and connecting them to securing and intentionally breaking them for learning purposes, this book offers comprehensive, experience-based coverage designed to take you deep into real-world administration.

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Kusum D. Jashnani, "Maternal Mortality - Lessons Learnt from Autopsy"
English | ISBN: 9811934193 | 2022 | 249 pages | EPUB | 293 MB
The book discusses about 45 cases of maternal autopsies. These maternal mortalities are related to pregnancy-related diseases, pre-existing diseases that worsen or manifest during pregnancy and diseases for which pregnant patient has increased risk. As the study of maternal mortality is a healthcare quality indicator and plays an important role in the improvement of obstetric care, the book aims at discussing autopsy findings, which is the gold standard for establishing not only the causes of death, but also to uncover the various pathological lesions produced by the physiologic phenomenon of pregnancy. This helps in identifying the direct and indirect causes, which can be reviewed at multidisciplinary review meetings.

The chapters are arranged according to direct and indirect causes of maternal death, involving varied target organ systems i.e. central nervous system, cardiovascular system, respiratory system, gastro-intestinal tract, hepato-biliary system and pancreas, urinary system, female genital tract and others. However, it does not include diseases coincidental in pregnancy.
Read more

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Math into LaTeX: Essentials: A Complete Beginner's Guide to Creating Mathematical Documents with LaTeX (Math into LaTeX: Masterclass Series)
English | 2025 | ASIN: B0F3V2JDPL | 73 pages | Epub | 331.29 KB
Unlock the Power of Professional Math Documents-Even If You've Never Written a Line of LaTeX Before!

Are you a student, professor, math teacher, researcher, or academic content creator who wants to create elegant, publication-ready mathematical documents? Do you struggle with formatting equations in Word or Google Docs? If so, Math into LaTeX: Essentials is the perfect beginner's companion to help you level up your academic writing with ease and confidence.
�� What You'll Learn in This Book:
This first book in the Math into LaTeX: Masterclass Series starts from absolute zero-no coding or LaTeX experience required! You'll be guided step-by-step through the fundamentals of LaTeX, using real-world examples designed specifically for mathematics and STEM subjects.
✅ Chapter 1: Getting Started with LaTeX
* What LaTeX is and why it's the gold standard for academic writing
* How to install LaTeX on any system (Windows, macOS, Linux)
* A beginner-friendly tour of popular editors like TeXmaker, TeXstudio, and Overleaf
✅ Chapter 2: Your First LaTeX Document
* Create a basic document from scratch (Minimal Working Example)
* Learn document structure: documentclass, egin, section{}
* Tips to organize your document with sections, subsections, and spacing
✅ Chapter 3: Math Mode Basics
* Write inline and display equations that look clean and professional
* Use subscripts, superscripts, fractions, roots, and summation notation
* Understand the difference between $...$, [...], and equation environments
✅ Chapter 4 Preview: Advanced Equations and Matrices
* Learn what's coming in the next book: align environments, matrices, cases, and more!
�� Why LaTeX?
LaTeX is not just a tool-it's a career investment. Whether you're writing a university assignment, a thesis, a research paper, or lecture notes, LaTeX ensures your work stands out with professional formatting, automatic references, and precision typesetting. Once you learn the basics, you'll never go back to clunky equation editors again.
�� Why This Book Stands Out:
�� Beginner-Friendly: Written in plain language, with no prior experience assumed
�� Math-Focused: Tailored for students and professionals in mathematics, physics, engineering, and computer science
�� Step-by-Step Instructions: Every command is explained clearly with output previews
�� Series-Ready: Leads perfectly into future books on equations, symbols, tables, figures, beamer presentations, and more
�� Who Should Read This Book?
✔ High School & College Students writing math or science papers
✔ Professors preparing LaTeX-based handouts or exams
✔ Researchers submitting journal articles in math-heavy fields
✔ Content creators making digital notes, eBooks, or Udemy courses
✔ Anyone tired of fighting with equation editors in Word or Google Docs

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Math Olympiad Handbook
English | 2025 | ASIN: B0F2ZJNLPV | 494 Pages | Epub | 33.29 MB
Are you preparing for a mathematical Olympiad or a competitive math exam? This book provides a structured approach to problem-solving, guiding you from fundamental concepts to advanced techniques used in national and international math competitions.

Inside, you'll find:
✅ A well-organized collection of topics, including number theory, combinatorics, geometry, functional equations, and inequalities.
✅ Step-by-step solutions with clear explanations to help you understand problem-solving techniques.
✅ Carefully selected problems, ranging from introductory to advanced levels, to build confidence and mastery.
✅ Insights into Olympiad strategies and creative mathematical thinking.
Whether you are a student aiming for top performance or a teacher looking for valuable resources, this book is designed to sharpen your mathematical intuition and problem-solving skills.

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Mathematical Book Histories: Printing, Provenance, and Practices of Reading
by Philip Beeley, Ciarán Mac an Bhaird
English | 2024 | ISBN: 3031326091 | 613 Pages | True ePUB | 231 MB

This book both articulates and responds to increasing scholarly interest in the materiality of the book. Taking as its base the unique collection of mathematical books in the Russell Library at Maynooth, it addresses questions related to printing techniques and print culture, book production, provenance, and reading practices. It considers the histories of individual items of the Russell Collection, their previous locations and owners, and explores ways in which annotations, underlinings, hand-drawn diagrams, and the like reveal patterns of reading and usage. Finally, it seeks to elicit more information on a previously under-researched topic: the historical role of mathematics in the extensive network of Irish colleges that once covered Catholic Europe, located in places such as Salamanca, Rome, Douai, and Prague. Alongside delivering important new insights into print culture as a medium for transmitting scientific ideas, Mathematical Book Histories is thus also intended to contribute to a broader understanding of the role and significance of mathematics in the context of clerical instruction and more broadly in the academic tradition of Ireland up to the beginning of the twentieth century. Many of the volumes in the Russell Library reflect the remarkably rich book-trade that flourished in seventeenth and early eighteenth century Dublin and which was quite distinct from that in London. Booksellers often bought in their wares directly from abroad, with the result that publications could enter collections that did not enter the purview of contemporary English or Scottish scholars in Britain.

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Mathematical Modeling of the Healthy and Diseased Lung:
Linking Structure, Biomechanics, and Mechanobiology
English | 2025 | ISBN: 3031953215 | 369 Pages | PDF EPUB (True) | 75 MB

The lung is a complex multiscale organ that serves as the primary interface between the environment and the tissues of the body. Homeostatic maintenance of lung function throughout life is essential for health. While failure of lung homeostasis underlies many of the most common chronic diseases that afflict mankind, the precise pathophysiologic mechanisms involved are often unclear. Investigative techniques such as microscopic imaging and atomic force microscopy are providing new insights into lung tissue properties at the micro scale. It nevertheless remains to be seen how this growing body of information can be integrated into a comprehensive picture of the lung. Mathematical and computational modeling has emerged as an essential tool for gaining such a holistic understanding. This book introduces the reader to the art of modeling as a means of linking lung structure to function over multiple length scales from the intracellular level to that of the whole organ, with specific attention given to the pathophysiology of a number of common lung diseases and aging.

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Mathematical Modeling with Modern Applications
English | 2025 | ISBN: 303189040X | 311 Pages | PDF EPUB (True) | 48 MB
his book contains selected, peer-reviewed articles presented at the International Conference on Mathematical Modeling and Modern Applications (M3A_24), held in Istanbul, Türkiye, on June 4-6 2024. The selected articles are all real-life problem oriented and present numerical methods from the following fields: partial differential equations, approximation, applied linear and multilinear algebra, probability and statistics, artificial intelligence and deep learning. The developed tools are of special interest for understanding and taking an active part into the challenges posed by the increasing needs of the industry. A special focus is given to the large-scale methods in response to massive amount of data to process in many problems. Each article contains an initial section enabling non-specialists to grasp the issues at stake in the problem under consideration, as well as theoretical reminders and references enabling readers to deepen their understanding. This will enable researchers to present their advances, while at the same time allowing them to be disseminated to industry and students.

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