Название: Введение в объектно-ориентированный дизайн с Java
Автор: Тимур Машнин
Издательство: СИ
Год: 2022
Формат: PDF
Страниц: 247
Размер: 12,6 Mb
Язык: Русский

Эта книга ориентирована на тех, кто уже знаком с языком программирования Java и хотел бы углубить свои знания и изучить объектно-ориентированный анализ и проектирование программного обеспечения. Вы познакомитесь с основными принципами и паттернами объектно-ориентированного дизайна, используемыми при разработке программных систем Java. Вы научитесь моделировать системы Java с помощью UML диаграмм, познакомитесь с основными понятиями и принципами объектно-ориентированного подхода, изучите порождающие, структурные и поведенческие шаблоны проектирования. Вы узнаете, как создавать модульное, гибкое и многоразовое программное обеспечение, применяя объектно-ориентированные принципы и шаблоны проектирования.

Название: Elements of Numerical Mathematical Economics with Excel: static and dynamic optimization
Автор: Giovanni Romeo
Издательство: Academic Press
Год: 2020
Формат: True PDF
Страниц: 815
Размер: 25,1 Mb
Язык: English

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel.

Название: Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
Автор: Mahmoud Parsian
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 438
Размер: 12,5 Mb
Язык: English

Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.
In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.

Название: Data Science on the Google Cloud Platform, 2nd Edition
Автор: Valliappa Lakshmana
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 462
Размер: 17,2 Mb
Язык: English

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.
Through the course of this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.

Название: Atomic Kotlin (Final Release)
Автор: Bruce Eckel and Svetlana Isakova
Издательство: Leanpub
Год: 2021-11-22
Формат: PDF, ePUB, MOBI
Страниц: 588
Размер: 10 Mb
Язык: English

For both beginning and experienced programmers! From the author of the multi-award-winning Thinking in C++ and Thinking in Java together with a member of the Kotlin language team comes a book that breaks the concepts into small, easy-to-digest "atoms," along with exercises supported by hints and solutions directly inside IntelliJ IDEA!
Version 1.1 (November 2021) includes updates for Kotlin 1.5 (works with 1.6) and all corrections/clarifications since the original release.

Название: Machine Learning Using Python
Автор: U Dinesh Kumar Manaranjan Pradhan
Издательство: Wiley
Год: 2019
Формат: PDF
Страниц: 366
Размер: 15 Mb
Язык: English

This book is written to provide a strong foundation in Machine Learning using Python libraries by providing real-life case studies and examples. It covers topics such as Foundations of Machine Learning, Introduction to Python, Descriptive Analytics and Predictive Analytics. Advanced Machine Learning concepts such as decision tree learning, random forest, boosting, recommender systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.

Название: Oracle Database Programming with Java: Ideas, Designs, and Implementations
Автор: Ying Bai
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 605
Размер: 17,5 Mb
Язык: English

Databases have become an integral part of modern life. Today’s society is an information-driven society, and database technology has a direct impact on all aspects of daily life. Decisions are routinely made by organizations based on the information collected and stored in databases. Database management systems such as Oracle are crucial to apply data in industrial or commercial systems. Equally crucial is a graphical user interface (GUI) to enable users to access and manipulate data in databases. The Apache NetBeans IDE with Java is an ideal candidate for developing a GUI with programming functionality.

Название: Документирование программного обеспечения: В помощь техническому писателю
Автор: Панюкова Т.А.
Издательство: М.: Либроком
Год: 2012
Cтраниц: 264
Формат: pdf
Размер: 59 мб
Язык: русский

В учебном пособии рассказывается о важности процесса документирования, его месте в процессе создания программного средства и о работе технического писателя. Рассмотрены различные виды программной документации и существующие российские и международные стандарты, знание которых необходимо техническому писателю. В заключение приводится краткое описание современных, издательских систем и CASE-средств, используемых для создания документации различного уровня.

Название: Artificial Intelligence in Games
Автор: Paul Roberts
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 310
Размер: 17,8 Mb
Язык: English

This book covers all the necessary topics that a professional game AI programmer needs to know, from math and steering behaviours to terrain analysis, pathfinding and decision-making. Written to be easily accessible, each topic is accompanied by an example game that allows the reader to add their own code to see the effects their changes have.
Each chapter is split into two parts. The first part covers the necessary theory in a friendly, conversational manner, using visual examples and fictional game scenarios to give additional context. The second part is a coding tutorial in C# for the topic at hand. Each chapter has its own example game available to download, written in C# in the Unity Game Engine.

Название: Analytical Groundwater Modeling Theory and Applications using Python
Автор: Mark Bakker and Vincent Post
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 243
Размер: 10 Mb
Язык: English

This book provides a detailed description of how Python can be used to give insight into the flow of groundwater based on analytic solutions. Starting with simple problems to illustrate the basic principles, complexity is added step by step to show how one-dimensional and two-dimensional models of one or two aquifers can be implemented. Steady and transient flow problems are discussed in confined, semi-confined, and unconfined aquifers that may include wells, rivers, and areal recharge. Special consideration is given to coastal aquifers, including the effect of tides and the simulation of interface flow.