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

Tanlangan sport turi boʻyicha mutaxassislikka kirish (suzish)

Ushbu darslik oliy o'quv yurtlari bakalavr va magistrlari, bolalar va o'smirlar sport maktablari, olimpiya zahiralari sport kollejlarining talabalari hamda suzish sport turi bo'yicha o'qituvchi va murabbiylarga mo'ljallangan. O'ylaymanki, bu tayyorlangan darslik ana shu muammolarni qisman bo'lsada hal etish borasida muayyan ahamiyat kasb etadi.

Dorivor o`simliklarni yetishtirish texnologiyasi

Mazkur darslik 0 ‘zbekiston Respublikasi Oliy va o'rta maxsus ta’lim vazirligining 2014-yil 10-martdagi 135510600-14 raqami bilan tasdiqlangan o‘quv rejasi asosida tuzilgan «Dorivor o‘simliklar yetishtirish texnologiyasi va ekologiya» nomli darslik farmatsiya, sanoat farmatsiyasi, biotexnologiya, metro-logiya. 5411100-Dorivor o‘simliklar yetishtirish va qayta ishlash texnologiyasi va kasb ta'lim yo‘nalishlarining talabalari uchun mo'ljallangan.

Мева экинлари селекцияси ва навшунослиги

Ушбу дарсликда мева экинлари селекцияси ва навшунослик фанининг қишлоқ хўжалигидаги аҳамияти, вазифалари, селекциянинг бошқа фанлар билан боғлиқлиги, тарихи қисқача баён этилган. Шунингдек, дарсликда, мева экинлари селекцияси асослари, помология - навшунос-лик асослари, мева экинлари хусусий селекцияси ва Ўзбекистонда районлаштирилган мевали ва резавор мевали ўсимликлар навлари тўғри-сида маълумот келтирилган.

Melioratsiya va yerlarni rekultivatsiyalash

Darslik ekinlarning yaxshi o‘sishi, rivojlanishi va hosildorligini oshishini ta’minlaydigan yerlarning maqbul meliorativ holatini ta’minlash, turli sabablarga ko‘ra tabiiy holati buzilib, biomassa hosil qilish qobiliyatini yo‘qotgan, degradatsiyaga uchragan yerlarni qayta tiklash - rekultivatsiya qilish bo‘yicha naza-riy bilimga va amaliy ko‘nikmaga ega bo‘lish, ularni qo‘llash bo‘yicha malakalarni shakllantirish vazifalarini bajaradi.

УСИМЛИКЛАР ФИЗИОЛОГИЯСИ

Усимликлар физиологияси усимликлар танасида содир буладиган хаётий жараёнлар, мураккаб конуниятлар ва ходисалар занжирини урганувчи фандир. Фотосинтез, нафас олиш, сув режими ва тириклик асосини ташкил этувчи бошка хаётий кечинмаларни урганиш, тахлил килиш ва уларни одам учун фойдали томонга узгартириш, яъни юкрри ва сифатли хосил олиш мазкур фаннинг асосий вазифаси хисобланади. Шу маънода Усимликлар физиологияси агрономия фанларининг назарий асосини ташкил этади.

Kompyuter tizimlari va telekommunikatsiyalar

Ushbu darslik bo'lajak axborot tizimlari va texnologiyalari mutaxassislarini tayyorlashda oliy ta'lim va ishlab chiqarish, xizmat ko'rsatish korxonalari uchun, kompyuter tizimlari va telekommunikatsiya fani orqali talabalar o'z bilimlarini onlayn kurslar, video darslar va interaktiv o'quv platformalari yordamida kengaytirishlari mumkin.

PROJECT MANAGEMENT CASE STUDIES, SECOND EDITION

Other than on-the-job training, case studies and situations are perhaps the best way to learn project management. Case studies allow the students to apply the knowledge learned in lectures. Case studies require that the students investigate what went right in the case, what went wrong, and what recommendations should be made to prevent these problems from reoccurring in the future.

Project Management Cas Studies

Other than on-the-job training, case studies and situations are perhaps the best way to learn project management. Project managers pride themselves on finding solutions to problems, and case studies are an excellent way for this to happen.

Исламское право

В учебнике раскрываются теоретические ос­новы исламского права, особенности его источ­ников, базовых концепций и принципов. Большое внимание уделяется анализу соотношения религиозной и правовой сторон исламского права.

INTRODUCTORY CHEMISTRY,

This eBook may be available as a standalone product or integrated with other Pearson digital products like MyLab and Mastering. This eBook may or may not include all assets that were part of the print version. The publisher reserves the right to remove any material in this eBook at any time.

HOSPITALITY FACILITIES MANAGEMENT and DESIGN. 3rd edition

Hospitality facilities regularly call for managerial attention. Modifications are needed due to (among other things) various levels of facility obsolescence, the Americans with disablities act and the growth of governmental and corporate requirements for additional safety and security.

Mastering C++ Programming For GUI Development With Qt

Unlock the Power of C++ and Qt to Create Stunning Cross-Platform Applications**"Mastering C++ Programming for GUI Development" is your comprehensive guide to harnessing the synergy of C++ and the Qt framework to build sophisticated, visually appealing, and cross-platform graphical user interfaces (GUIs). Whether you're a seasoned C++ developer looking to expand your skillset or a newcomer to GUI development, this book provides the knowledge and practical examples you need to create professional-grade applications that run seamlessly on Windows, macOS, Linux, and more. Key Features and Topics Covered: Essential C++ Concepts for Qt: Build a strong foundation in C++ fundamentals, including classes, inheritance, polymorphism, and memory management, tailored specifically for Qt development. Building Your First Qt GUI Application: Dive into Qt's core principles and create your first GUI application, learning about widgets, layouts, and signals and slots.

Logs and Telemetry. Using Fluent Bit, Kubernetes, streaming and more

About the book: Logs and Telemetry shows you how to turn systems data into actionable insights using Fluent Bit. You’ll start by learning the pre-built plugins for common use cases and progress to integration with powerful tools like OpenTelemetry and real-time analytical event processing. You’ll use plugins to configure routing, filtering and processing, automate your observability with Lua scripts, and configure Fluent Bit to meet the demands of highly scalable environments. About the technology: Fluent Bit is a super-fast lightweight observability tool that’s perfect for Kubernetes and containers, as well as traditional IT environments. Fluent Bit makes it a snap to extract meaning from the logs, traces, and other performance metrics generated by your applications and infrastructure. It’s also a great way to route telemetry to analysis tools like Prometheus and Grafana.

HAYYONLAR FIZIOLOGIYASI

Darslik qishloq xo’jalik oily o ’quv yurtlarining zoom uhandislik, velerinaria, qorako’lchilik va universitetlarning biologiya y o ’nalishlari uchun m o ’ljallangan. Darslikni tayorlashda qishloq xo'jalik hayvonlari fiziologiyasidan o ’zbek va rus tilida nashr qilingan adabiyotlardan shuningdek, Toshkent Davlat Agrar Universiteti, F. Xujayev nomidasi Sam arqand qishloq xo'jalik instituti, O ’zbekiston ilmiy tekshirish chorvachilik, velerinaria va qorako’lchnik ilmiy tekshirish institutlarida olib boiilgan k o ’p yillilk ilmiy ishlar natijalaridan foydalanildi Ushbu darslik qishloq xo'jalik hayvonlari fiziologiyasi kursi b o ’yicha o ’zbek tilida yozilgan dastlabki darsliklardan biri b o ’lganligi sababli u ba’zi-bir kamchiliklardan holi b o ’lmasligi m um kin

Qishloq xo'jalik texnikalariga firmaviy texnik servis ko'rsatish.

Darslikda qishloq xo'jaligida foydalanilayotgan texnika vositalariga texnik vositalariga texnik xizmat ko'rsatish bo'yicha ta'lim oluvchi bakalavrlar,magistrlar,doktorantlar hamda soha bo'yicha muhandis-texniklar va tadqiqotchilar uchun mo'ljallangan.

Machine Learning Engineering

During the past several years, machine learning (ML), for many, has become a synonym for artificial intelligence. Even though machine learning, as a field of science, has existed for several decades, only a handful of organizations in the world have fully harnessed its potential. Despite the availability of modern open-source machine learning libraries, packages and frameworks supported by the leading organizations and broad communities of scientists and software engineers, most organizations are still struggling to apply machine learning for solving practical business problems. One difficulty lies in the scarcity of talent. However, even when they have access to talented machine learning engineers and data analysts, in 2020, most organizations1 still spend between 31 and 90 days deploying one model, while 18 percent of companies are taking longer than 90 days — some spending more than a year productionizing. The main challenges organizations face when developing ML capabilities, such as model version control, reproducibility, and scaling, are rather engineering than scientific.