Abuzei i Tair

Ignacy Krasicki

Ignacy Krasicki Bajki i przypowieści Abuzei i Tair Winszuj, ojcze rzekł Tair w dobrym jestem stanie. Jutrom szwagier sułtana i na polowanie Z nim wyjeżdżam. Rzekł ojciec: Wszystko to odmienne. Łaska pańska, gust kobiet, pogody jesienne. Jakoż zgadł, piękny projekt wcale się nie nadał: Sułtan siost... Ignacy Krasicki Ur. 3 lutego 1735 r. w Dubiecku (Sanockie) Zm. 14 marca 1801 r. w Berlinie Najważniejsze dzieła: Myszeida (1775), Mikołaja Doświadczyńskiego przypadki (1776), Monachomachia (1778), Pan Podstoli (1778 i 1784), Bajki i przypowieści (1779), Satyry (1779 i 1782), Antymonachomachia (1779), Wojna chocimska (1780) Wybitny polski poeta, prozaik, komediopisarz i publicysta. Kasztelanic chełmski, hrabia, przeznaczony do stanu duchownego ze względu na trudną sytuację materialną rodziny. Od 1766 r. biskup warmiński. Blisko współpracował z królem Stanisławem Augustem w dziele kulturalnego ożywienia kraju. Tworzył w duchu oświecenia (m.in. napisał w latach 1781-83 dwutomową encyklopedię Zbiór potrzebniejszych wiadomości, był twórcą pierwszego pol. czasopisma, (Monitor), ale jego Hymn do miłości ojczyzny (1774) oraz przekład Pieśni Osjana odegrały znaczącą rolę w kształtowaniu polskiego romantyzmu. Kupując książkę wspierasz fundację Nowoczesna Polska, która propaguje ideę wolnej kultury. Wolne Lektury to biblioteka internetowa, rozwijana pod patronatem Ministerstwa Edukacji Narodowej. W jej zbiorach znajduje się kilka tysięcy utworów, w tym wiele lektur szkolnych zalecanych do użytku przez MEN, które trafiły już do domeny publicznej. Wszystkie dzieła są odpowiednio opracowane - opatrzone przypisami oraz motywami.

"Aby przywrócić rangę satyrze". Cenzura wobec poznańskiego tygodnika satyrycznego "Kaktus" (1957-1960)

Anna Wiśniewska-Grabarczyk

"Kaktus" to powstałe na fali odwilży poznańskie pismo satyryczne, ukazujące się w latach 1957-1960. Jak każdy tytuł prasowy wydawany oficjalnie w Polsce Ludowej, miał swoje drugie, ukryte przed szeroką publicznością oblicze, znane tylko autorom, redakcji i cenzorom. To wersja dziewicza, pierwotna, ta, która została złożona do oceny urzędu cenzury. I o niej, o tym dziewiczym obrazie "Kaktusa" jest ta książka. Materiał porównawczy stanowią 174 numery periodyku oraz zbiór kryptotekstualiów, tj. poufnych cenzorskich dokumentów oceniających artykuły z tygodnika. Są one cennym świadectwem tego, w jaki sposób władza radziła sobie z tzw. poetykami antyreżimowymi, które doszły do głosu po Październiku '56 r. W archiwach znajdują się nie tylko artykuły, eseje, felietony, dowcipy rysunkowe, komentarze satyryczne, które ukazały się drukiem, ale - co ważniejsze - ich wersje złożone do oceny cenzorów. Dzięki temu można było porównać wersje oryginalne z opublikowanymi oraz ustalić, jakie materiały zatrzymano. Przeprowadzone badania pokazują, że "ucieczka" w kostium satyryczny nie zawsze pozwalała literatom i grafikom publikującym w "Kaktusie" uniknąć cięć cenzorskich.

Accelerate Deep Learning Workloads with Amazon SageMaker. Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Vadim Dabravolski

Over the past 10 years, deep learning has grown from being an academic research field to seeing wide-scale adoption across multiple industries. Deep learning models demonstrate excellent results on a wide range of practical tasks, underpinning emerging fields such as virtual assistants, autonomous driving, and robotics. In this book, you will learn about the practical aspects of designing, building, and optimizing deep learning workloads on Amazon SageMaker. The book also provides end-to-end implementation examples for popular deep-learning tasks, such as computer vision and natural language processing. You will begin by exploring key Amazon SageMaker capabilities in the context of deep learning. Then, you will explore in detail the theoretical and practical aspects of training and hosting your deep learning models on Amazon SageMaker. You will learn how to train and serve deep learning models using popular open-source frameworks and understand the hardware and software options available for you on Amazon SageMaker. The book also covers various optimizations technique to improve the performance and cost characteristics of your deep learning workloads.By the end of this book, you will be fluent in the software and hardware aspects of running deep learning workloads using Amazon SageMaker.

Accelerate DevOps with GitHub. Enhance software delivery performance with GitHub Issues, Projects, Actions, and Advanced Security

Michael Kaufmann, Thomas Dohmke, Donovan Brown

This practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery.The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams’ success stories without merely copying what they’ve done, this book has it all in one place. As you advance, you’ll find out how you can leverage the power of GitHub to accelerate your value delivery – by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture.By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward.

Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process

Maicon Melo Alves, Lúcia Maria de Assumpçao Drummond

This book, written by an HPC expert with over 25 years of experience, guides you through enhancing model training performance using PyTorch. Here you’ll learn how model complexity impacts training time and discover performance tuning levels to expedite the process, as well as utilize PyTorch features, specialized libraries, and efficient data pipelines to optimize training on CPUs and accelerators. You’ll also reduce model complexity, adopt mixed precision, and harness the power of multicore systems and multi-GPU environments for distributed training. By the end, you'll be equipped with techniques and strategies to speed up training and focus on building stunning models.

Accelerating Angular Development with Ivy. A practical guide to building faster and more testable Angular apps with the new Ivy engine

Lars Gyrup Brink Nielsen, Jacob Andresen, Santosh Yadav

Angular Ivy is the latest rendering engine and compiler introduced in Angular. Ivy helps frontend developers to make their Angular applications faster, better optimized, and more robust. This easy-to-follow guide will help you get to grips with the new features of Angular Ivy and show you how to migrate your Angular apps from View Engine to Ivy.You'll begin by learning about the most popular features of Angular Ivy with the help of simple stand-alone examples and realize its capabilities by working on a real-world application project. You'll then discover strategies to improve your developer workflow through new debugging APIs, testing APIs, and configurations that support higher code quality and productive development features. Throughout the book, you'll explore essential components of Angular, such as Angular Component Dev Kit (CDK), Ahead-of-time (AOT) compilation, and Angular command line interface (CLI). Finally, you'll gain a clear understanding of these components along with Angular Ivy which will help you update your Angular applications with modern features.By the end of this Angular Ivy book, you will learn about the core features of Angular Ivy, discover how to migrate your Angular View Engine application, and find out how to set up a high-quality Angular Ivy project.

Accelerating DevSecOps on AWS. Create secure CI/CD pipelines using Chaos and AIOps

Nikit Swaraj

Continuous integration and continuous delivery (CI/CD) has never been simple, but these days the landscape is more bewildering than ever; its terrain riddled with blind alleys and pitfalls that seem almost designed to trap the less-experienced developer. If you’re determined enough to keep your balance on the cutting edge, this book will help you navigate the landscape with ease.This book will guide you through the most modern ways of building CI/CD pipelines with AWS, taking you step-by-step from the basics right through to the most advanced topics in this domain.The book starts by covering the basics of CI/CD with AWS. Once you’re well-versed with tools such as AWS Codestar, Proton, CodeGuru, App Mesh, SecurityHub, and CloudFormation, you’ll focus on chaos engineering, the latest trend in testing the fault tolerance of your system. Next, you’ll explore the advanced concepts of AIOps and DevSecOps, two highly sought-after skill sets for securing and optimizing your CI/CD systems. All along, you’ll cover the full range of AWS CI/CD features, gaining real-world expertise.By the end of this AWS book, you’ll have the confidence you need to create resilient, secure, and performant CI/CD pipelines using the best techniques and technologies that AWS has to offer.

Accelerating IoT Development with ChatGPT. A practical guide to building your first IoT project using AI-assisted coding and cloud integration

Jun Wen

Unlike other IoT books that focus on theory and generic applications, this guide takes a practical approach, empowering you to leverage ChatGPT to build your very first IoT prototype. With over 20 years of experience in wireless and IoT technologies and a background as an instructor, Jun Wen expertly guides you from project kick-off to a fully functional prototype.The book emphasizes the transformative impact of ChatGPT for IoT, teaching you how to use ChatGPT to generate code for your applications, even with limited coding experience. You’ll be introduced to using PlatformIO IDE within Visual Studio Code and discover the cutting-edge RISC-V architecture, the ESP32 MCU, Arduino-compatible sensors, and integration methods for AWS and the ThingsBoard dashboard. Working through 10 different project examples, including flame detection, smoke detection, and air quality measurement, you’ll become proficient in the functions and specifications of each sensor and the use cases they solve.By the end of this book, you’ll be ready to undertake IoT development projects, bridging the gap between your ideas and functional creations.