Adopcja na cztery łapy. Jak zaopiekować się psem i dać mu bezpieczny dom

Justyna Piekarczyk

Know-hau po psim świecie! Praktyczny poradnik o adopcji autorki popularnego fanpagea Nie kupuj Adoptuj Decyzja o przygarnięciu do swojego domu zwierzęcia wpływa na życie całej rodziny i otoczenia. Im lepiej przyszły opiekun będzie wiedział, czego może spodziewać się po adopcji psa, tym większa szansa na zbudowanie dobrej, opartej na zaufaniu relacji. Z czym wiąże się adopcja szczeniaka, a z czym dorosłego psa? Czy wielkość mieszkania ma dla czworonoga znaczenie? Jakie formalności spełnić przed adopcją i jak skompletować wyprawkę? W jaki sposób wprowadzać psa do domu, w którym mieszka już kot? Jak rozpoznać zachowania lękowe u zwierzęcia i jak na nie reagować? Justyna Piekarczyk mająca za sobą organizację kilkuset udanych adopcji krok po kroku wyjaśnia, jak wygląda ten proces. Z praktycznego poradnika dowiesz się, jak rozumieć potrzeby swojego zwierzęcia, zadbać o jego zdrowie i zapewnić najlepsze warunki do życia. Poznasz także najpowszechniejsze mity związane z adopcją. Książka zawiera szereg przydatnych wskazówek nie tylko dla osób rozważających adopcję zwierzęcia, ale także dla opiekunów psów, którzy chcą lepiej rozumieć zachowania swoich czworonożnych przyjaciół i poprawić z nimi relacje.

Adopting .NET 5. Understand modern architectures, migration best practices, and the new features in .NET 5

Hammad Arif, Habib Qureshi

.NET 5 is the unification of all .NET technologies in a single framework that can run on all platforms and provide a consistent experience to developers, regardless of the device, operating system (OS), or cloud platform they choose.By updating to .NET 5, you can build software that can quickly adapt to the rapidly changing demands of modern consumers and stay up to date on the latest technology trends in .NET.This book provides a comprehensive overview of all the technologies that will form the future landscape of .NET using practical examples based on real-world scenarios, along with best practices to help you migrate from legacy platforms.You’ll start by learning about Microsoft’s vision and rationale for the unification of the platforms. Then, you’ll cover all the new language enhancements in C# 9. As you advance, you’ll find out how you can align yourself with modern technology trends, focusing on everything from microservices to orchestrated containerized deployments. Finally, you’ll learn how to effectively integrate machine learning in .NET code.By the end of this .NET book, you’ll have gained a thorough understanding of the .NET 5 platform, together with a readiness to adapt to future .NET release cycles, and you’ll be able to make architectural decisions about porting legacy systems and code bases to a newer platform.

Adrenalina

Marta Póltorak

Namalowany przez francuskiego mistrza Jean’a-Honoré Fragonarda obraz „Huśtawka” to od ponad 250 lat znany symbol nie tylko rokoka, ale także popkultury. Choć na obrazie trwa szalona sielanka lat francuskiej monarchii absolutnej, to czuć już niewidzialną grozę, coś, co nie daje nam — ludziom obeznanym już z dalszą historią — spokoju.  Jednak ten, frywolny obraz zawsze będzie kojarzony z zabawami parkowymi, znudzonej i bogatej arystokracji, która zabija czas plotkami, seksem i imprezą na całego. Dwór Ludwika XV pełen był takich uciech, pompy, dekoracyjności, braku kontroli i... królewskiej władzy nad tymi wszystkim odcieniami kiczu i erotyki. Obraz „Huśtawka” jest dziełem na temat miłości i pożądania, o czym świadczy wiele symboli jak, chociażby wirujący pantofelek, zaglądający pod spódniczkę mężczyźni czy putta pełne erotycznych aluzji. Dzieło Fragonarda pełne jest adrenaliny. Jednak jak wspomniałam na początku, czas krwawych rewolucji jest już za progiem, daje się odczuć jako dni pełne kontrastowej dla wesołej zabawy trwogi, która wyzwala adrenalinę. Hormon ten towarzyszy nam wiernie — na dobre i na złe.  Bohaterka obrazu jest wesoła, ale też udaje, że te zaloty są dla niej miłe... Może po prostu nie wypada jej odmówić? A może nie wie, jak to powinno się zrobić? Czy wie, że towarzysze mają swoje zamiary? A może nie wypada jej protestować? Tomik „Adrenalina” jest odpowiedzią (lub jej próbą) na pytanie o samoidentyfikację, zrozumienie i zaakceptowanie lub zane-gowanie dla elementów, które mogą spotkać się ze sobą na metapoziomie rozumienia aspektów kobiecości. Aby najlepiej zrozumieć swoje ograniczenia, także te wynikające ze stereotypów, przeciwstawić się im można poprzez kamuflaż. Konwencje, które z jednej strony mogą nas wzmocnić, ale przeważnie nawet pod płaszczykiem wygody często powodują wpisanie kobiety w przekaz zwyczajowy. Co często nie pozwala, by spojrzeć na siebie autentycznie. Rola kobiety w polskim społeczeństwie to także forma kamuflażu. Musi ona nieustannie wplatać w swoje życie elementy zupełnie niepasujące do niej, ale wymagane. Musi rozwiązywać różnego rodzaju życiowe i mentalne rebusy oraz kontrolować czy jest to dostatecznie dobre dla innych. Poczucie bezradności i złości jest efektem skomplikowanej natury kobiecości przypisywanej codziennie do różnorakich frazesów. Zestawienie wierszy to połączenie pewnych scen, przedstawień czy nawet alegorii, które nie do końca są dopasowane w warstwie wstępnej percepcji. Jednak ich wspólne postrzeganie w ujęciu niepasujących ele-mentów to sztuka słowa pokazana poprzez połączenie obrazów, które w dowolny sposób można wykorzystać. Ja nadaję im charakteru współpracy, gdzie razem tworzą narrację metaforyczną, może nawet narrację poprzez zlepek metafor, które są skojarzeniami, stereotypowymi odbiorami, czy arche-typicznym artefaktem. Podobnie jak na obrazie „Huśtawka” śliczny obrazek to tylko oczekiwanie na koniec, bo przecież i obecnie te, tradycyjne kody, kurtuazja, różnorakie sytuacje, które nie mają jednoznacznych konotacji, ale zawsze pozostają głęboko, dają nie tyle do myślenia co do przemyśleń, których kierunek nie jest znany. Bo czy wiemy kim jesteśmy, gdy dookoła tyle fałszu i strachu? Czy możemy się zbuntować, zmierzyć z innym postrzeganiem i jednocześnie być akceptowane? A może to jest bunt bez sensu, który tylko pali mosty? Czego zatem potrzeba nam dziś bardziej —dam, czy rewolucji?  

Adresat nieznany

Barbara Gordon

Ciche PRL-owskie miasteczko, nieśmiali mieszkańcy i zbrodnia doskonała... W cichym Lipowie, młody mężczyzna odkrywa, że śmierć jego bliskich jest połączona z historią lokalnej fabryki. Im bardziej próbuje rozgryźć te powiązania, tym bardziej czuje się zagrożony. Czy odważy się stawić czoła prawdzie, której strzegą cienie przeszłości i...lokalna piękność? Śledztwo zostaje przydzielone doświadczonemu kapitanowi Chmurze. Czy zmowa milczenia mieszkańców może okazać się tak silna, że prawdę odkryje zbyt późno? Znajdziecie tu nie tylko zagadki kryminalne, ale i wiernie odmalowaną rzeczywistość Polski w czasach PRL. Lubicie kryminały Leopolda Tyrmanda? Jeśli tak, to pozycja dla Was! PRL kryminalnie PRL kryminalnie - seria składająca się z powieści milicyjnych najbardziej poczytnych autorek i autorów czasów PRL. Barbara Gordon - właść. Larysa Zajączkowska-Mitznerowa, polska pisarka kryminałów PRL urodzona w Kijowie. Pisała również pod innymi pseudonimami, jest autorką około 24 książek, w tym powieści takich jak "Adresat nieznany" i "Błąd porucznika Kwaśniaka".

ADT w raku prostaty 2022 - wybór czy konieczność?

Artur Drobniak, Lesław Malik

Rak prostaty jest coraz częściej występującym nowotworem złośliwym. Terapia opiera się na postępowaniu miejscowym (chirurgia, radioterapia) i leczeniu systemowym (hormonoterapia, chemioterapia). Deprywacja androgenowa odgrywa kluczową rolę w leczeniu raka stercza. Różne kombinacje leków pozwalają na coraz dłuższy czas życia pacjentów. W artykule przedstawiono wybrane zagadnienia związane z nowymi możliwościami leczenia w różnych stadiach choroby.

Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization

Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.

Advanced Blockchain Development. Build highly secure, decentralized applications and conduct secure transactions

Imran Bashir, Narayan Prusty

Blockchain technology is a distributed ledger with applications in industries such as finance, government, and media. This Learning Path is your guide to building blockchain networks using Ethereum, JavaScript, and Solidity. You will get started by understanding the technical foundations of blockchain technology, including distributed systems, cryptography and how this digital ledger keeps data secure. Further into the chapters, you’ll gain insights into developing applications using Ethereum and Hyperledger. As you build on your knowledge of Ether security, mining, smart contracts, and Solidity, you’ll learn how to create robust and secure applications that run exactly as programmed without being affected by fraud, censorship, or third-party interference. Toward the concluding chapters, you’ll explore how blockchain solutions can be implemented in applications such as IoT apps, in addition to its use in currencies. This Learning Path also highlights how you can increase blockchain scalability, and discusses the future scope of this fascinating and powerful technology. By the end of this Learning Path, you'll be equipped with the skills you need to tackle pain points encountered in the blockchain life cycle and confidently design and deploy decentralized applications.

Advanced C++. Master the technique of confidently writing robust C++ code

Gazihan Alankus, Olena Lizina, Rakesh Mane, Vivek Nagarajan, ...

C++ is one of the most widely used programming languages and is applied in a variety of domains, right from gaming to graphical user interface (GUI) programming and even operating systems. If you're looking to expand your career opportunities, mastering the advanced features of C++ is key.The book begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later chapters, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding chapter will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly.By the end of this book, you'll have developed programming skills that will set you apart from other C++ programmers.

Advanced C++ Programming Cookbook. Become an expert C++ programmer by mastering concepts like templates, concurrency, and type deduction

Dr. Rian Quinn

If you think you've mastered C++ and know everything it takes to write robust applications, you'll be in for a surprise. With this book, you'll gain comprehensive insights into C++, covering exclusive tips and interesting techniques to enhance your app development process.You'll kick off with the basic principles of library design and development, which will help you understand how to write reusable and maintainable code. You'll then discover the importance of exception safety, and how you can avoid unexpected errors or bugs in your code. The book will take you through the modern elements of C++, such as move semantics, type deductions, and coroutines. As you advance, you'll delve into template programming - the standard tool for most library developers looking to achieve high code reusability. You'll explore the STL and learn how to avoid common pitfalls while implementing templates. Later, you'll learn about the problems of multithreaded programming such as data races, deadlocks, and thread starvation. You'll also learn high-performance programming by using benchmarking tools and libraries. Finally, you'll discover advanced techniques for debugging and testing to ensure code reliability.By the end of this book, you'll have become an expert at C++ programming and will have gained the skills to solve complex development problems with ease.

Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Rowel Atienza

Recent developments in deep learning, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Reinforcement Learning (DRL) are creating impressive AI results in our news headlines - such as AlphaGo Zero beating world chess champions, and generative AI that can create art paintings that sell for over $400k because they are so human-like.Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep learning techniques available today, so you can create your own cutting-edge AI. Using Keras as an open-source deep learning library, you'll find hands-on projects throughout that show you how to create more effective AI with the latest techniques.The journey begins with an overview of MLPs, CNNs, and RNNs, which are the building blocks for the more advanced techniques in the book. You’ll learn how to implement deep learning models with Keras and TensorFlow 1.x, and move forwards to advanced techniques, as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You then learn all about GANs, and how they can open new levels of AI performance. Next, you’ll get up to speed with how VAEs are implemented, and you’ll see how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans - a major stride forward for modern AI. To complete this set of advanced techniques, you'll learn how to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.

Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

Ivan Vasilev

In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles.By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.

Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R

Bharatendra Rai

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them. This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.

Advanced Deep Learning with TensorFlow 2 and Keras. Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more - Second Edition

Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects.Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques.Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance.Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.

Advanced Elasticsearch 7.0. A practical guide to designing, indexing, and querying advanced distributed search engines

Wai Tak Wong

Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks.You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch.By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.

Advanced Excel 365. Master Excel 365 with practical tips and advanced AI integrations

Mercury Learning and Information, Ritu Arora

Excel is more than a spreadsheet—it's a powerhouse for data analysis, decision-making, and business productivity. This course begins with foundational concepts, such as cell referencing, formulas, and functions, before moving into tools like data validation, pivot tables, and conditional formatting. You'll also explore advanced techniques for working across multiple worksheets and creating impactful charts.The journey continues with in-depth coverage of VBA programming, where you'll learn to automate repetitive tasks, debug errors, and create user-friendly applications. Starting with the basics of macros and variables, you'll advance to building custom add-ins and employing sophisticated VBA techniques to handle complex data processes seamlessly. Each lesson combines practical examples with actionable insights.By the end of the course, you'll possess a versatile toolkit to handle everything from daily spreadsheet tasks to creating powerful custom solutions. Whether you're preparing reports, analyzing trends, or developing VBA-driven applications, this course equips you to work smarter and achieve more.

Advanced Express Web Application Development. For experienced JavaScript developers this book is all you need to build highly scalable, robust applications using Express. It takes you step by step through the development of a single page application so you learn empirically

Andrew Keig

Building an Express application that is reliable, robust, maintainable, testable, and can scale beyond a single server requires a bit of extra thought and effort. Express applications that need to survive in a production environment will need to reach out to the Node ecosystem and beyond, for support.You will start by laying the foundations of your software development journey, as you drive-out features under test. You will move on quickly to expand on your existing knowledge, learning how to create a web API and a consuming client. You will then introduce a real-time element in your application.Following on from this, you will begin a process of incrementally improving your application as you tackle security, introduce SSL support, and how to handle security vulnerabilities. Next, the book will take you through the process of scaling and then decoupling your application. Finally, you will take a look at various ways you can improve your application's performance and reliability.