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Mastering Serverless Development with Python: Create and Launch Scalable Applications with Ease: A Comprehensive Guide for Python Developers! by Andrew M. Jones
English | September 5, 2024 | ISBN: N/A | ASIN: B0DG8DJ7N7 | 213 pages | EPUB | 0.37 Mb
Build Powerful Cloud Applications with Serverless Python

Dream of creating scalable, cost-effective web applications that deploy instantly? "Mastering Python Serverless Framework" is your guide to using Python to build amazing serverless applications.
What you'll learn:Set up easily: Learn how to start using the serverless framework without needing deep cloud knowledge.Master serverless Python: Understand how to use the core features of the serverless framework.Design great architectures: Learn how to structure your code for optimal performance and scalability.Work with databases: Learn how to use databases with serverless applications.Build real-world apps: Create practical applications like APIs and chat apps.Advanced topics: Explore security, authentication, and monitoring.This book will help you:Build powerful applications: Create scalable and cost-effective applications.Focus on code: Spend less time on infrastructure and more time writing code.Join the serverless revolution: Be part of the latest trend in application development.Order your copy today and start building amazing serverless applications!

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Mastering the Fundamentals of Software Architecture for Beginners: From Beginner to Pro - Navigate Your Journey in the Digital World! Master the Skills to Design, Build, and ... Software system. by Andrew M. Jones
English | September 1, 2024 | ISBN: N/A | ASIN: B0DF65PMDD | 179 pages | EPUB | 0.37 Mb
Crafting Software Architecture: A Beginner's Guide to Mastery

Are you a software developer seeking to elevate your skills beyond writing lines of code? Do you aspire to design robust, scalable, and maintainable systems? Then this book is your essential companion.
Fundamentals of Software Architecture for Beginners provides a clear and accessible introduction to the fundamental principles that underpin software design. From understanding design patterns to building scalable systems, this book equips you with the knowledge and tools to create exceptional software.
Key Topics Covered:Core Concepts: A solid foundation in architectural concepts, including modularity, encapsulation, and abstraction.Design Principles: Explore SOLID principles, such as Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion, to create well-structured code.Scalability and Performance: Learn techniques to design systems that can handle increasing loads and maintain high performance.Architectural Patterns: Discover the benefits of popular patterns like MVC, MVP, and Microservices, and when to apply them effectively.Communication and Integration: Understand how different components of a system interact using APIs, messaging, and other mechanisms.Best Practices: Gain insights into best practices for software architecture, including documentation, testing, and continuous improvement.Why Choose This Book:Clear and Concise: The book is written in a straightforward style, making complex concepts easy to understand.Practical Examples: Real-world scenarios and code examples illustrate the application of architectural principles.Step-by-Step Guidance: Follow a structured approach to learning software architecture, starting with the basics and progressing to more advanced topics.Expert Insights: Benefit from the expertise of experienced software architects who share their knowledge and best practices.Whether you're a beginner or an experienced developer looking to enhance your skills, this book is your gateway to mastering software architecture. Start your journey today and unlock your potential to create exceptional software solutions.

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Matched By Ally Condie
2011 | 400 Pages | ISBN: 014241977X | EPUB | 4 MB
Cassia has always trusted the Society to make the right choices for her: what to read, what to watch, what to believe. So when Xander's face appears on-screen at her Matching ceremony, Cassia knows he is her ideal mate . . . until she sees Ky Markham's face flash for an instant before the screen fades to black. The Society tells her it's a glitch, a rare malfunction, and that she should focus on the happy life she's destined to lead with Xander. But Cassia can't stop thinking about Ky, and as they slowly fall in love, Cassia begins to doubt the Society's infallibility and is faced with an impossible choice: between Xander and Ky, between the only life she's known and a path that no one else has dared to follow. Look for the sequel, CROSSED, and the epic series finale, REACHED!

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Stéphane Avril, Sam Evans, "Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics"
English | 2016 | ISBN: 3319450700, 3319832026 | PDF | pages: 161 | 5.8 mb
The articles in this book review hybrid experimental-computational methods applied to soft tissues which have been developed by worldwide specialists in the field. People developing computational models of soft tissues and organs will find solutions for calibrating the material parameters of their models; people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.

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Penny Van Esterik, "Materializing Thailand (Materializing Culture)"
English | 2000 | pages: 286 | ISBN: 1859733115, 1859733069 | PDF | 1,4 mb
Thailand has become well known throughout the world for wonderful cuisine, great package holidays, sumptuous temples and textiles. Noticeably absent from glossy tourist brochures but equally well known throughout the Western world is Thailand's seedier side - the world of child exploitation, rampant prostitution and AIDS. Thailand maintains its appeal by slipping the ugly and painful out of sight and by promoting women as exotic visual icons through beauty contests, state rituals and the sex trade. This book explores the construction of gender in Thailand and in particular the role Bangkok plays in establishing gender relations for the whole of the country. It examines the historical and cultural processes underlying Thai public culture, including historical theme parks. The author demonstrates how the materiality of the Thai world shapes gender relations and how Buddhism discourages essentialisms, including fixed binary gender identities. Throughout the book, appearances are shown to be critically important, and the essentialism of gender is maintained through display, public presentations, and everyday material practices. Anyone wishing to understand the complexity of Thailand will find this book provides a highly readable and insightful analysis.

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Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering (The Materials Research Society Series) by Stefan Sandfeld
English | May 9, 2024 | ISBN: 3031465644 | 644 pages | MOBI | 63 Mb
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented "from scratch" using Python and NumPy.

The book starts with an introduction to statistics and probabilities, explaining important concepts such as random variables and probability distributions, Bayes' theorem and correlations, sampling techniques, and exploratory data analysis, and puts them in the context of materials science and engineering. Therefore, it serves as a valuable primer for both undergraduate and graduate students, as well as a review for research scientists and practicing engineers.
The second part provides an in-depth introduction of (statistical) machine learning. It begins with outlining fundamental concepts and proceeds to explore a variety of supervised learning techniques for regression and classification, including advanced methods such as kernel regression and support vector machines. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques. Additionally, feature engineering, feature importance, and cross-validation are introduced.
The final part on neural networks and deep learning aims to promote an understanding of these methods and dispel misconceptions that they are a "black box". The complexity gradually increases until fully connected networks can be implemented. Advanced techniques and network architectures, including GANs, are implemented "from scratch" using Python and NumPy, which facilitates a comprehensive understanding of all the details and enables the user to conduct their own experiments in Deep Learning.

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Maternal Fetal Transmission of Human Viruses and their Influence on Tumorigenesis By György Berencsi III, Maria Takács (auth.), György Berencsi III (eds.)
2012 | 464 Pages | ISBN: 9400742150 | PDF | 5 MB
The human foetus is separated from the maternal blood by the syncytiotrophoblast induced by endogeneous human retrovirus-encoded proteins. This barrier is a highly developed one, which suppors apical-basolateral transport of maternal idiotype and anti-idiotype IgG, IgG-virus complexes. The selective maternal-fetal transport of epitope- and paratope-bearing entities can influence the developping fetal immune system during pregnancy. The bidirectional maternal-fetal transfer of cells are of even more importance during pregnancy. Maternal cells with latent viruses transport viruses without impairment of fetal development. Cells with premaligant and malignant genetic transformation are also transported to the fetus. Fetal and neonatal tumours are initiated by such cells in spite of the antitumour potential of fetal organism. On the contary, the fetal cells repair maternal tissue injouries and survive in the organisms of the recipients for decades. These possess new consequences for the neonatal immunity and organ transplatation surgery.

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Mathematical Engineering of Deep Learning
by Liquet, Benoit, Moka, Sarat, Nazarathy, Yoni
English | 2025 | ISBN: 1032288280 | 415 pages | True PDF EPUB | 39.76 MB

Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms and progresses through the key ideas of deep learning. These ideas and architectures include deep neural networks, convolutional models, recurrent models, long/short-term memory, the attention mechanism, transformers, variational auto-encoders, diffusion models, generative adversarial networks, reinforcement learning, and graph neural networks. Concepts are presented using simple mathematical equations together with a concise description of relevant tricks of the trade. The content is the foundation for state-of-the-art artificial intelligence applications, involving images, sound, large language models, and other domains. The focus is on the basic mathematical description of algorithms and methods and does not require computer programming. The presentation is also agnostic to neuroscientific relationships, historical perspectives, and theoretical research. The benefit of such a concise approach is that a mathematically equipped reader can quickly grasp the essence of deep learning. Key Features: A perfect summary of deep learning not tied to any computer language, or computational framework. An ideal handbook of deep learning for readers that feel comfortable with mathematical notation. An up-to-date description of the most influential deep learning ideas that have made an impact on vision, sound, natural language understanding, and scientific domains. The exposition is not tied to the historical development of the field or to neuroscience, allowing the reader to quickly grasp the essentials. Deep learning is easily described through the language of mathematics at a level accessible to many professionals. Readers from fields such as engineering, statistics, physics, pure mathematics, econometrics, operations research, quantitative management, quantitative biology, applied machine learning, or applied deep learning will quickly gain insights into the key mathematical engineering components of the field.

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Mathematical Modeling and Simulation of Systems
English | 2024 | ISBN: 3031673476 | 429 Pages | PDF EPUB (True) | 63 MB
Modern complex multi-domain systems require increased efficiency, reliability and availability combined with reduced cost. This book contains papers on mathematical modeling and simulation of processes in various areas: in ecology and the environment, production and energy, information technology, samples of special purpose equipment, and cyber-physical systems.

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V. Stoltenberg-Hansen, "Mathematical Theory of Domains "
English | ISBN: 0521383447 | | 361 pages | PDF | 13 MB
Domain theory is the mathematical framework that is used to model the semantics of computer programs and the theory of computation. This is the first book on the subject that attempts to provide a rigorous introduction to the topic in a manner accessible to computer scientists by motivating the mathematics with computer science examples.

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Francesca Beauman, "Matrimony, Inc.: From Personal Ads to Swiping Right, a Story of America Looking for Love"
English | 2020 | pages: 208 | ISBN: 1643135783 | EPUB | 13,6 mb
A clever, thoughtful, and funny history that reveals how the Union of states was built on a much more personal union of people.

Have you ever used a dating app or website? Then you have more in common than you know with lonely homesteaders in 18th century New England. At once heartwarming and heartbreaking, Matrimony, Inc. reveals the unifying thread that weaves its way through not just marriage and relationships over the centuries, but American social history itself: advertising for love.
Amazingly, America's first personal ad appeared in the Boston Evening Post as early as 1759. A "person who flatters himself that he shall not be thought disagreeable" was in search of a "young lady, between the age of eighteen and twenty-three, of a middling stature, brown hair, of good Morals..." As family-arranged marriages fell out of fashion, "Husband Wanted" or "Seeking Wife" ads were soon to be found in every state in the nation.
From the woman in a Wisconsin newspaper who wanted "no brainless dandy or foppish fool" to the man with a glass eye who placed an ad in the New York Times hoping to meet a woman with a glass eye, the many hundreds of personal ads that author Francesca Beauman has uncovered offer an extraordinary glimpse into the history of our hearts' desires, as well as a unique insight into American life as the frontier was settled and the cities grew. Personal ads played a surprisingly vital role in the West: couple by couple, shy smile by shy smile, letter by letter from a dusty, exhausted miner in California to a bored, frustrated seamstress in Ohio. Get ready for a new perspective on the making of modern America, a hundred words of typesetter's blurry black ink at a time.
"So anxious are our settlers for wives that they never ask a single lady her age. All they require is teeth," declared the Dubuque Iowa News in 1838 in a state where men outnumbered women three to one. While the dating pools of 21st century New York, Chicago or San Francisco might not be quite so dentally-fixated, Matrimony Inc. will put idly swiping right on Tinder into fascinating and vividly fresh historical context. What do women look for in a man? What do men look for in a woman? And how has this changed over the past 250 years?

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Maven Made Easy: Your First Multi-Module Java Project: A Step-by-Step Approach to Mastering Maven for Java Web Development by R. Parvin
English | September 2, 2024 | ISBN: N/A | ASIN: B0DFZY26MF | 516 pages | EPUB | 1.22 Mb
Embark on a journey to simplify Java project management and build automation with Maven!

Maven Made Easy: Your First Multi-Module Java Project provides a clear, step-by-step path to mastering Maven, the powerful build tool that streamlines Java development. Whether you're new to Maven or looking to enhance your skills, this book will guide you through the essentials and advanced techniques, empowering you to build robust, scalable, and maintainable Java web applications.
Inside, you'll discover:Maven Fundamentals: Understand Maven's core purpose, installation, project structure, and the pivotal POM file.Core Concepts: Master dependency management, plugin usage, repositories, the build lifecycle, and profiles for customized builds.Multi-Module Mastery: Learn to design, build, and deploy a real-world multi-module Java project, step-by-step.Advanced Techniques: Explore dependency management in multi-module projects, create project templates with archetypes, integrate with Git, and implement robust testing and continuous integration.Real-World Use Cases: Apply Maven's power to build Java web applications, integrate with Spring and Hibernate, and develop RESTful APIs and microservices.Troubleshooting and Best Practices: Navigate common errors, adopt efficient development strategies, and ensure your projects are optimized for success.-
By the end of this book, you'll be able to:Confidently navigate Maven's command-line interface and leverage its capabilities for efficient project management.Construct well-structured, multi-module Java projects that promote maintainability and scalability.Efficiently manage project dependencies, ensuring your projects have access to the necessary libraries.Automate your build processes, freeing you from manual tasks and enabling faster development cycles.Integrate Maven with version control systems and testing frameworks to streamline your development workflow.Apply Maven best practices to optimize your projects and enhance collaboration within your development team.-
Whether you're a student, a budding developer, or an experienced professional, "Maven Made Easy" is your comprehensive guide to mastering this essential tool and building successful Java web applications.

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Maximum Likelihood Estimation with Stata, Fifth Edition
by Jeffrey Pitblado;Brian Poi;William Gould;
English | 2024 | ISBN: 159718411X | 472 pages | True EPUB | 12.71 MB

Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in all disciplines who wish to write maximum likelihood (ML) estimators in Stata. Beyond providing comprehensive coverage of Stata's command for writing ML estimators, the book presents an overview of the underpinnings of maximum likelihood and how to think about ML estimation.
The fifth edition includes a new second chapter that demonstrates the easy-to-usemlexpcommand. This command allows you to directly specify a likelihood function and perform estimation without any programming.
The core of the book focuses on Stata'smlcommand. It shows you how to take full advantage ofml's noteworthy features:
- Linear constraints
- Four optimization algorithms (Newton-Raphson, DFP, BFGS, and BHHH)
- Observed information matrix (OIM) variance estimator
- Outer product of gradients (OPG) variance estimator
- Huber/White/sandwich robust variance estimator
- Cluster-robust variance estimator
- Complete and automatic support for survey data analysis
- Direct support of evaluator functions written in Mata
When appropriate options are used, many of these features are provided automatically bymland require no special programming or intervention by the researcher writing the estimator.
In later chapters, you will learn how to take advantage of Mata, Stata's matrix programming language. For ease of programming and potential speed improvements, you can write your likelihood-evaluator program in Mata and continue to usemlto control the maximization process. A new chapter in the fifth edition shows how you can use themoptimize()suite of Mata functions if you want to implement your maximum likelihood estimator entirely within Mata.
In the final chapter, the authors illustrate the major steps required to get from log-likelihood function to fully operational estimation command. This is done using several different models: logit and probit, linear regression, Weibull regression, the Cox proportional hazards model, random-effects regression, and seemingly unrelated regression. This edition adds a new example of a bivariate Poisson model, a model that is not available otherwise in Stata.
The authors provide extensive advice for developing your own estimation commands. With a little care and the help of this book, users will be able to write their own estimation commands-commands that look and behave just like the official estimation commands in Stata.
Whether you want to fit a special ML estimator for your own research or wish to write a general-purpose ML estimator for others to use, you need this book.

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Vicki Cox, "Maya Angelou (Black Americans of Achievement)"
English | 2006 | pages: 129 | ISBN: 0791092240 | PDF | 0,7 mb
This biography chronicles the life and contributions of Maya Angelou, as well as her influence on later generations. Angelou became famous with the 1970 publication of her autobiography I Know Why the Caged Bird Sings. In the years following the book, millions more would come to know her through her work as a performer, civil rights activist, children's book author, and poet. She received a Lifetime Achievement Award for Literature in 1999 and was named one of the top 100 writers in the 20th century by Writer's Digest. Maya Angelou: Poet is an insightful look into the life of an artist who continues to inspire social and personal change with her message about the triumph of the human spirit.

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Mayo Clinic First-Aid Guide for Outdoor Adventures by Neha P. Raukar
English | June 4, 2024 | ISBN: N/A | ASIN: B0CB8DR3PY | 232 pages | EPUB | 26 Mb
Adventure safely with Mayo Clinic expertise: an easy-to-use illustrated guide, printed on water-resistant paper. It's your ultimate companion to the great outdoors.

Wherever your travels take you,Mayo ClinicFirst-AidGuide for Outdoor Adventuresis here to help you survive your next trek in the wilderness.This rugged, pocket‑sized guide is lightweight, water-resistant and designed to toss into your backpack, kayak, or boat-even thatfirst-aid kit in the trunk of your car.It's the must‑have addition to your packing list. So, dust off that headlamp, shake out your sleeping bag and commit to being prepared. It could mean the difference between life and death!
Easy‑to‑follow step‑by‑step instructions with close to 100 illustrations on medical emergencies like:What to do if you're bitten by a snake.How do yourecognize frostbite?How do you remove a fishhook?What to do if a friend is struck by lightning.What to pack, prepare, and how to avoid injury in the first place!

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