Unilibrary. Oliy ta'lim muassasalarining yagona elektron kutubxona axborot tizimi.

Мастера художественного слова.

Настоящий сборник продолжает издание, увидевшее свет в 1983 году. В настоящий выпуск вошли очерки-портреты ведущих чтецов советской эстрады.

Математическое моделирование химико-технологических процессов на аналоговых вычислительных машинах

В книге освещены вопросы применения аналоговой вычислительной техники для исследования математических моделей химических реакций и объектов химической технологии.

Танланган асарлар

Ўзбекистон халқ шоири Энахон Сиддиқовани гўзал шеърлари, ҳаётий ҳикоялари орқали адабиёт ихлосмандлари жуда яхши билишади. Шоиранинг қўлингиздаги "Танланган асарлар"идан шеърлар, ривоятлар, достон, ҳужжатли лироэпик қисса, ҳикоялар жой олган. Тўпламдаги ҳар бир шеърда теран ҳислар ҳамда ҳикояларда долзарб ва ўткир мавзулар қаламга олинган.

Куйбышевское водохранилище

Книга будет полезна не только специалистам, но и широкому кругу читателей.

Сокин дарё мавжлари

Ўзбекистон ёзувчилар уюшмаси аъзоси, таниқли журналист Ҳусан Эрматовнинг ушбу тўплами муаллиф томонидан кейинги йилларда ёзилган бир қатор публицистик мақолалар, маънавий-маърифий мавзудаги суҳбат, эссе ва қатралардан иборат.

Ёқуб умарўғли

Ёқуб Умарўғли турк дунёси адабиёти ва адабий алоқаларини ривожлантиришга катта ҳисса қўшган адиб, олим ва жамоат арбобидир. Турк тилида ижод қилган атоқли ёзувчи ўзбек адиблари билан яқин дўст ва фаол ижодий ҳамкор эди.

Куйилма сув омборларнинг сув баланси

Мазкур монографияда куйилма сув омборларида сув исрофларига таъсир этувчи омилларни инобатга олиб, сув омборларининг сув балансини хисоблашнинг такомиллаштирилган усули ёритилган

Кўк тангри

Кадим туркий халкларнинг турмуш тарзи тасвирланган.

Город для человека

Создание новых гороов и развитие существующих связано с преобразованием окружающей среды и отражает динамику и характер социального строя общества.

Лабораторный практикум по химической технологии волокнистых материалов

Представлены лабораторные работы по основным разделам курса химической технологии волокнистых материалов.

Maxsus fanlarni o'qitish metodikasi

Darslik mazkur fanni o'rganishning nazariy va amaliy asoslarini qamrab olgan.

Anyone Can Code The Art and Science of Logical Creativity

Programming is about logical creativity, solving problems through logical thinking and design, and also formal methods of presenting those thoughts and solutions. In the first part of this book (Introduction, Chapters 1 and 2), I aim to provide some historical and background information on computer programming and introduce the basic concepts in logical creativity. This includes algorithmic thinking as the main approach to design and present solutions and programs that implement them.

Anyone Can Code. Algorithmic Thinking

I will never forget the blank look on some of my students' faces when they were given a programming task and simply stared at the screen not knowing how and where to start. It took me a while to realize the problem was not that the development tool they were using was not friendly or the programming language was too complex. They had a solution in their mind, and they could remember (or look up) the language syntax. But there was a link missing between what was in their mind and a working program. This book is about that missing link, Algorithmic Thinking; how to organize our thoughts into good algorithms that can be easily translated into good programs. In other terms, in order to write a program, we need to first come up with the right algorithm (step-by-step process that computer has to follow), and to design good algorithms, we need to think algorithmically.

Algorithmic Thinking. A Problem-Based Introduction

Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems.

Algorithmic Mathematics in Machine Learning

In many branches of science, economy, and industry, the amount of available data has become immense during recent years. Most of these data do not contain any valuable information. However, the differentiation between useful data and “data waste” is seldom straightforward. Moreover, in applications where expensive (practical or numerical) experiments are involved in the data acquisition process, the available data sets are rather small. To meet the different challenges on real-world data sets, like, for example, describing useful information in a more compact format (dimensionality reduction) or making predictions on unseen data (regression), many different ideas and approaches have emerged. These are usually grouped together under the name machine learning (ML) methods.

A practical guide to building agents

Large language models are becoming increasingly capable of handling complex, multi-step tasks. Advances in reasoning, multimodality, and tool use have unlocked a new category of LLM-powered systems known as agents. This guide is designed for product and engineering teams exploring howto build their first agents, distilling insights from numerous customer deployments into practical and actionable best practices. It includes frameworks for identifying promising use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure your agents run safely, predictably, and effectively. After reading this guide, you’ll have the foundational knowledge you need to confidently start building your first agent.