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Problem Solving with Python. Using Computational Thinking in Everyday Life

An innovative new way to teach computational thinking and problem solving that makes programming accessible to anyone. Problem solving with computation has become a basic literacy required of modern life, but the traditional way we teach students to code doesn’t work for everyone. This innovative textbook provides a highly engaging alternative approach. Problem Solving with Python is a hands-on introduction to computational thinking, useful computer science concepts, and the art of computer programming, where skills and ideas are introduced in service of solving an interesting problem. Each chapter begins with an ambiguous problem description drawn from everyday life that resolves with a piece of working code. Gradually progressing in difficulty, the book’s three-act structure charts a clear developmental path from novice to skilled programmer. Michael Smith first presents the basics of programming through repeated application of a worklist algorithm, allowing the reader to become comfortable in problem decomposition and fundamentals before attempting more complicated algorithms and approaches. He then shows how to solve real-world problems using the power of abstraction, algorithms, and the right data structures. Finally, the exercises in the book’s last act fully transition the reader from programmer to problem solver.

Visualizing Generative AI. How AI Paints, Writes, and Assists

Generative AI has the potential to innovate and evolve business processes, but workers are still figuring out how to build with, optimize, and prompt GenAI tools to fit their needs. And of course, there are pitfalls to avoid, like security risks and hallucinations. Getting it right requires an intuitive understanding of the technology’s capabilities and limitations. This approachable guidebook helps learners of all levels navigate GenAI―and have fun while doing it. Loaded with insightful diagrams and illustrations, Visualizing Generative AI is the perfect entry point for curious IT professionals, business leaders who want to stay on top of the latest technologies, students exploring careers in cloud computing and AI, and anyone else interested in getting started with GenAI. You’ll traverse the generative AI landscape, exploring everything from how this technology works to the ways organizations are already leveraging it to great success.

Строение ткани и современные методы ее проектирования

Написана болгарскими и советским специалистами. Освещены вопросы строения ткани, факторы, определяющие это строение. Рассматриваются методы проектирования тканей по заданным толщине, поверхностной плотности, пористости, линейной плотности нитей, коэффициенту наполнения ткани, прочности на разрыв и др.

O'zbek tilini sohada qoʻllash

Darslik ikki qismdan iborat. Birinchi qismda terminlarning kelishi, yaratilishi, xususiyatlari haqida turlari hamda adabiy tilning oʻziga xos ma'lumot berilgan. Ikkinchi qismda nazariy bilimlarni amalda tatbiq etish maqsadida qishtoq xo'jaligining turli sohalari boʻyicha matn va topshiriqlar berilgan.

Основы теории вязания

В книге изложены сущность и последовательность петлеобразования трикотажа на одинарных машинах и дан анализ операций петлеобразования, рассмотрены особенности петлеобразования на двойных машинах. Приведена классификация трикотажных переплетений.

Технология швейных изделий

В книге даны сведения об одежды, ассортименте и конструкции швейных изделий. Освещены процессы раскройного производства и рассмотрены основы технологии одежды; стежки, строчки, швы и процессы их образования; технологическая характеристика швейных машин; клеевое соединение и сваривание деталей одежды; влажно-тепловая обработка швейных изделий.

The Sage Handbook of Intercultural Communication

We would like to thank everyone who assisted us as we progressed through the journey to complete this Sage Handbook o f Intercultural Communication. We thank the three anonymous reviewers for their valuable comments on the book proposal. Their positive comments on the proposal were especially encouraging, and their suggestions for improvement helped us to rethink and reshape the structure and scope of this globally oriented handbook.

Ўзбекистоннинг ижтимоий-иқтисодий тараққиёти миллий моделини яратиш асослари

Ватанимизни ҳар жиҳатдан мустаҳкам ва мукаммал давлат сифатида шакллантириш учун катта саъй-ҳаракатлар амалга оширилмоқда.

Rhetorikal Studies

I have incurred many debts in the course of editing this handbook. I would like to begin by extending my heartfelt thanks to the 60 contributors whose hard work, professional ism, and generosity of spirit have made this volume possible.

Group Dynamics for Teams

Many people helped shape this book. My understanding of work teams, including both manufacturing and professional teams, was fostered by the many opportunities I have had to study and consult with actual teams in industry.

Metrologiya va oʻlchashlar yagonaligini ta'minlash

Darslikda metrologiya fanining axamiyati va rivojlanishi, metrologiyaning rivojlanish bosqichlari, ishlab chiqarish va uning tarmoqlarini metrologik ta'minlash, respublikada metrologiyaning rivojlanishi, fizik-kimyoviy oʻlchovlarning xususiyatlari va boshqa m`lumotlar berilgan.

Thinking Programs. Logical Modeling and Reasoning About Languages, Data, Computations, and Executions. (2nd ed.)

This book describes some basic principles that allow developers of computer programs (computer scientists, software engineers, programmers) to clearly think about the artifacts they deal with in their daily work: data types, programming languages, programs written in these languages that compute wanted outputs from given inputs, and programs that describe continuously executing systems. The core message is that clear thinking about programs can be expressed in a single, universal language, the formal language of logic. Apart from its universal elegance and expressiveness, this “logical” approach to the formal modeling of, and reasoning about, computer programs has another advantage: due to advances in computational logic (automated theorem proving, satisfiability solving, model checking), nowadays much of this process can be supported by software. This book therefore accompanies its theoretical elaborations by practical demonstrations of various systems and tools that are based on or make use of the presented logical underpinnings.

Navoiyshunoslik

Ushbu darslik respublika oliy o'quv yurtlari o'zbek filologiyasi hamda o'zbek tili va adabiyotini o'qitish, shuningdek, nofilologik yo'nalishlarda tahsil olayotgan talabalar uchun mo'ljallangan bo'lib, unda Alisher Navoiy hayoti va ijodi hamda asarlan poetikasi bilan bog'liq eng muhim ma'lumotlar qamrab olingan, buyuk mutafakkir ijodiga doir yangicha talqinlar berilgan. Darslik navoiyshunoslikda qo'lga kiritilgan eng so'nggi yutuqlarni o'zida aks ettirganligi bilan alohida ahamiyat kasb etadi.

Essentials of MIS fourteenth edition

Microsoft and or its respective suppliers make no representations about the suitability of the information contained in the documents and related graphics published as part of the services for any purpose. All such documents and related graphics are provided “as is” without warranty of any kind. Microsoft and/or its respective suppliers hereby disclaim all warranties and conditions with regard to this information, including all warranties and conditions of merchantability, whether express, implied or statutory, fitness for a particular purpose, title and non-infringement.

Large Vision-Language Models. Pre-training, Prompting, and Applications

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing. These powerful models, trained on vast amounts of multimodal data mixed with images and text, have demonstrated remarkable capabilities in tasks ranging from image classification and object detection to visual content generation and question answering. This book provides a comprehensive and up-to-date exploration of large vision-language models, covering the key aspects of their pre-training, prompting techniques, and diverse real-world computer vision applications. It is an essential resource for researchers, practitioners, and students in the fields of computer vision, natural language processing, and artificial intelligence.

Large Vision-Language Models. Pre-training, Prompting, and Applications

The rapid progress in the field of large multimodal foundation models, especially vision-language models, has dramatically transformed the landscape of machine learning, computer vision, and natural language processing. These powerful models, trained on vast amounts of multimodal data mixed with images and text, have demonstrated remarkable capabilities in tasks ranging from image classification and object detection to visual content generation and question answering. This book provides a comprehensive and up-to-date exploration of large vision-language models, covering the key aspects of their pre-training, prompting techniques, and diverse real-world computer vision applications. It is an essential resource for researchers, practitioners, and students in the fields of computer vision, natural language processing, and artificial intelligence.