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  • Добавил: SCART56
  • Дата: 26-08-2022, 11:44
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Основы алгоритмизации и программирования. Практикум. В двух частях
Название: Основы алгоритмизации и программирования. Практикум. В двух частях
Автор: Коврижных А.Ю., Конончук Е.А., Лузина Г.Е.
Издательство: Издательство Уральского университета
Год: 2016
Страниц: 54 + 46
Формат: pdf
Размер: 10 mb
Качество: хорошее

Часть 1. Задачи и упражнения. В первой части практикума помещены задания по программированию линейных, разветвляющихся, циклических процессов, алгоритмов с использованием массивов и рассматриваются примеры выполнения этих заданий на языках Паскаль и С#. Излагаемый материал рекомендуется использовать в ходе практических и лабораторных занятий, при выполнении домашних работ и при подготовке к зачету.
Часть 2. Расчетные работы. Вторая часть практикума содержит расчетно-графические задания для самостоятельной работы по программированию, сгруппированные в тематические блоки: линейные вычислительные процессы, разветвляющиеся вычислительные процессы, итерационные циклы, циклы с параметром или счетчиком, обработка элементов массива и алгоритмы поиска. В каждом блоке приводятся теоретические сведения, знание которых необходимо для выполнения приведенных заданий, и примеры выполнения типового задания (на языке Паскаль).
Адресовано студентам, обучающимся по направлениям подготовки «Химия» и «Фундаментальная и прикладная химия».
  • Добавил: TRex
  • Дата: 26-08-2022, 08:59
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Название: Data Structures the Fun Way: An Amusing Adventure with Coffee-Filled Examples
Автор: Jeremy Kubica
Издательство: No Starch Press
Год: 2023
Формат: True PDF
Страниц: 307
Размер: 12,2 Mb
Язык: English

Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process. This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures — a critical component in any programming endeavor. You’ll learn how to work with more than 15 key data structures, from arrays, stacks, and queues, to caches, bloom filters, skip lists, and graphs. You’ll also master linked lists by virtually standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and QuadTrees by neatly organizing your kitchen cabinets, all while becoming familiar with basic computer science concepts, like recursion and running time analysis.
  • Добавил: TRex
  • Дата: 26-08-2022, 04:08
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Название: Foundations of Scalable Systems
Автор: Ian Gorton
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 340
Размер: 10 Mb
Язык: English

In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.
  • Добавил: TRex
  • Дата: 25-08-2022, 19:05
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Название: Learn JavaFX Game and App Development: With FXGL 17
Автор: Dr. Almas Baimagambetov
Издательство: Apress
Год: 2022
Формат: True PDF, ePUB
Страниц: 228
Размер: 11,3 Mb
Язык: English

Understand real-world game development concepts using the JavaFX game engine called FXGL. The core focus of the book is on developing a standalone game or an application with FXGL. We will start with an overview of the book followed by requisite concepts from Java and JavaFX that will be used throughout this book. Next, we will learn about the FXGL game engine and its wide range of real-world game development techniques. In the next chapter, we learn about entity-component model used in FXGL to create a powerful abstraction of the game world.
  • Добавил: TRex
  • Дата: 25-08-2022, 17:18
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Название: Unleash Core dаta: Fetching Data, Migrating, and Maintaining Persistent Stores
Автор: Avi Tsadok
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 335
Размер: 10 Mb
Язык: English

With many frameworks, there’s a point in the learning curve where you stop fearing the mountain of knowledge to learn and just enjoy the power to play and develop. For some reason many developers feel that point seems harder to reach with Core Data. And that’s unjustified―Core Data is a great framework that with powerful, optimized tools right out of the box. So it's time you stopped fearing the journey and took your steps further out into the world of enjoying the power of Core Data.
  • Добавил: TRex
  • Дата: 25-08-2022, 17:03
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Название: Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences
Автор: Rongpeng Li, Aiichiro Nakano
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 175
Размер: 10 Mb
Язык: English

The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.
  • Добавил: TRex
  • Дата: 25-08-2022, 16:55
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Название: Blockchain and Ethereum Smart Contract Solution Development: Dapp Programming with Solidity
Автор: Weijia Zhang, Tej Anand
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 464
Размер: 10 Mb
Язык: English

Build decentralized applications with smart contract programming. Following the curriculum from an active blockchain course taught by the author at the McCombs School of Business at the University of Texas, this book fills the gaps for you from learning about basic cryptocurrency uses of blockchain to understanding smart contracts and dapps.
  • Добавил: TRex
  • Дата: 25-08-2022, 16:22
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Название: Mapping Data Flows in Azure Data Factory
Автор: Mark Kromer
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 204
Размер: 10 Mb
Язык: English

Build scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems.
  • Добавил: TRex
  • Дата: 25-08-2022, 16:04
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Название: Mathematical Logic through Python
Автор: Yannai A. Gonczarowski, Noam Nisan
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 285
Размер: 10 Mb
Язык: English

Using a unique pedagogical approach, this text introduces mathematical logic by guiding students in implementing the underlying logical concepts and mathematical proofs via Python programming. This approach, tailored to the unique intuitions and strengths of the ever-growing population of programming-savvy students, brings mathematical logic into the comfort zone of these students and provides clarity that can only be achieved by a deep hands-on understanding and the satisfaction of having created working code. While the approach is unique, the text follows the same set of topics typically covered in a one-semester undergraduate course, including propositional logic and first-order predicate logic, culminating in a proof of Gödel's completeness theorem.
  • Добавил: TRex
  • Дата: 25-08-2022, 11:47
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Название: Time Series Forecasting in Python
Автор: Marco Peixeiro
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 458
Размер: 22,5 Mb
Язык: English

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.