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

ELEKTR APPARATLARI VA AVTOMATLASHTIRISH VOSITALARI

Ushbu qo‘llanma talabalarning konchilik korxonalaridagi va issiqlik elektr stansiyasidagi mavjud elektr uskunalarni ekspluatatsiya qilishda qo‘llaniladigan elektr apparatlari va avtomatlashtirish vositalarini ishlatishda talab qilinadigan bilim va ko‘nikmalarni hosil qilish uchun mo‘ljallangan. Qo‘llanma ishlab chiqaruvchi korxonalarning kadrlarga bo‘lgan talab va istaklarini inobatga olgan holda tayyorlandi.

TAHLILNING FIZIKА-KIMYOVIY USULLARI

O'quv qo'llanmada ―Tаhlilning fizikа-kimyoviy usullаri‖ fаnidа mоddаlаrni tаrkibini vа miqdоrini аniqlаsh, аniqlаshdа mахsus tаhlil usullаrini qo'llаsh, tаhlil usullаrini klаssifikаtsiyasi,ishlаsh printsipi, tаhlilning fizikаkimyoviy usullаrininguskunаlаri ulаrning ishlаsh printsipi vа qo'llаnilish sоhаlаri to'g'risidа bаtаfsil tushunchаlаr keltirilgan. Bu esa tahlilning aniqligini, tezligini oshirishni, hamda texnologik jarayonlarni avtomatlashtirishni talab etadi. Shuning uchun ham tahlilning fizikakimyoviy (instrumental) va avtomatlashtirilgan fizik usullariga katta e‘tibor berilgan. Shu soha talabalari, magistrlari, kasb-hunar kollejlari talabalari va ilmiy – tekshirish hamda sanoat korxonalarida faoliyat yuritayotgan muxandis – texnik xodimlarga foydali bo'lishi mumkin.

Производство электрических аккумуляторов

В учебном пособии изложено производство электрических аккумуляторов, даны необходимые сведения об устройстве, важнейшие электрические и эксплуатационные характеристики.

Материаллар каршилиги

Ўқув қўлланма, материаллар қаршилиги фанидан амалий машғулотлар масалаларни ечишда берилган топшириқнинг мақбул ечисини аниқлаш келтирилган

KON LAHIMLARINI BARPO QILISH TEXNOLOGIYASI

Ushbu o‘quv qo‘llanma texnika yo‘nalishidagi oliy o‘quv yurtlarining 5311600 – “Konchilik ishi” ta’lim yo‘nalishlari talabalariga yer osti kon lahimlarini barpo qilish bo‘yicha asosiy nаzаriy bilimlаrni berishgа mo‘ljаllаngаn. Unda tog‘ jinslari va ularning xossalari, yer osti kon lahimlarini o‘tish usullari, ularning ko‘ndalang kesim yuzasini tanlash va hisoblash usullari, kon lahimlarini barpo qilish jarayonlari va texnologiyasi, ularda qo‘llaniladigan kon-transport jihozlari haqida nazariy ma’lumotlar berilgan.

MARKSHEYDERLIK ISHI BO‘YICHA MASALA VA MASHQLAR TO‘PLAMI

O‘quv qo‘llanmada foydali qazilma konlarini razvedka qilish, hamda qazib olish jarayonlarida bajariladigan asosiy marksheyderlik ishlari bo‘yicha masala va mashqlar keltirib o‘tilgan. Qo‘llanmada o‘lchash natijalari aniqligini baholash, marksheyderlik tasvirga olish ishlarida qo‘llaniladigan asboblar va ular bilan ishlash tartibi, yuzalarni aniqlash, karyerlarda marksheyderlik ishlari, shaxta qurilishida marksheyderlik ishlari va shuningdek, konlarni geometriyalash, kon lahimlarini o‘tishda marksheyderlik ishlari, gorizontal va vertikal tasvirga olish ishlari va hisoblash is hlariga alohida e’tibor qaratilgan.

Python dasturlash tili

Python dasturlash tilining imkoniyatlari va unda 'lovalar yaratish bo yicha ma’lumotlar talabalar amaliy ko’nikmalarga ega bo' Iishlari uchun bob va mavzular kesimida amaliy misollar yordamida tushintirib berilgan. Shuningdek, o'quv qo'llanmada Python tili bo'yicha asosiy tushunchalar amaliy masalalar bilan bog'lab mustaqil o'rganishga yo'naltiriladi.

Buxgalteriya hisobiga kirish

Mazkur o'quv qo'llanma "Buxgalteriya hisobiga kirish" fani bo'yicha o'tilgan mavzularni mustahkamlash va o'zlashtirib olishda asos bo'lib xizmat qiladi. Qo'llanma buhgalteriya hisobining iqtisodiyotda tutgan o'rni, vazifasi, tamoyillari va usullari kabi nazariy bilimlar bo'yicha talabalarda tushuncha hamda ko'nikma hosil qilishga mo'ljallangan.

Jismoniy tarbiya va sport

Mazkur o'quv qo'llanmada Davlat ta'lim standartlari va uning o'quv dasturiga binoan talabalar o'zlashtirishlari kerak bo'lgan nazariy bilim, amaliy ko'nikma va malakalar bayon qilingan.

Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value (The Pragmatic Programmers)

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python. Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data. This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume.

Materiallar qarshiligi 2 qism

O'quv qo'llanmada tashqi kuchlar ta'sirida materiallar qarshiligining tajriba natijalari bilan tasdiqlangan qonunlar nazariyasi keltirib chiqarishni o'z ichiga oladi

Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language. Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitter have played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.

Python testing with pytest. Simple, rapid, effective, and scalable

Although the goal of the book is to teach you how to effectively and efficiently use pytest, it does it in the context of a working application. Throughout the book I discuss various testing topics that relate to my philosophy of testing. Although it isn't a book intended to teach you all you need to know about test strategy, there is some of that in there. I don't assume much Python and/or testing experience. Experienced folks won't get bored, either. I've had people tell me that they've been testing for years with pytest and realized while reading the book many ways to improve their testing.

Materiallar qarshiligi 1 qism

O'quv qo'llanmada tashqi kuchlar ta'sirida materiallar qarshiligining tajriba natijalari bilan tasdiqlangan qonunlar nazariyasi keltirib chiqarishni o'z ichiga oladi

Game programming patterns

The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.

Bulutli hisoblash

Mazkur o'quv qo'llanmada bulutli hisoblash tehnologiyalari, xizmat ko'rsatish modellari, turkumlanishi, bulutli hisoblash provayderlari tomonidan ko'rsatilayotgan xizmatlar, bulutli hisoblashning dasturiy ta'minoti bayon etilgan. Bakalavriyatning "Bulutli hisoblash" fanidan o'quv qo'llanma sifatida tavsiya etiladi.