программирование

English Algorithmic Grammar, Georgiev H., 2006.

The ultimate goal of Computational Linguistics is to teach the computer to understand Natural Language. This research monograph presents a description of English according to algorithms which can be programmed into a computer to analyse natural language texts. The algorithmic approach uses series of instructions, written in Natural Language and organised in flow charts, with the aim of analysing certain aspects of the grammar of a sentence. One problem with text processing is the difficulty in distinguishing word forms that belong to parts of speech taken out of context. In order to solve this problem, Hristo Georgiev starts with the assumption that every word is either a verb or a non-verb. From here he presents an algorithm which allows the computer to recognise parts of speech which to a human would be obvious though the meaning of the words. Emphasis for a computer is placed on verbs, nouns, participles and adjectives. English Algorithmic Grammar presents information for computers to recognise tenses, syntax, parsing, reference, and clauses. The final chapters of the book examine the further applications of an algorithmic approach to English grammar, and suggests ways in which the computer can be programmed to recognise meaning. This is an innovative, cutting-edge approach to computational linguistics that will be essential reading for academics researching computational linguistics, machine translation and natural language processing.

JavaScript, Fifth Edition, Gosselin D., 2011.

   JavaScript, Fifth Edition teaches Web page development with JavaScript for students with little programming or database experience. Although no prior programming experience is required, knowledge of HTML and Web page design is helpful, but not required. This book covers the basics of ECMAScript Edition 3, which is compatible with recent Web browsers including Mozilla Firefox and Microsoft Internet Explorer, along with advanced topics including object-oriented programming, the Document Object Model (DOM), and AJAX. Further, this book presents JavaScript techniques using XHTML-compatible Web pages. After you complete this course, you will be able to use JavaScript to build professional quality, dynamic Web sites.

Java Persistence with Hibernate, Bauer C., King G., Gregory G., 2016.

   This book is both a tutorial and a reference for Hibernate and Java Persistence. If you’re new to Hibernate, we suggest that you start reading the book with chapter 1 and begin coding with the “Hello World” tutorial in chapter 2. If you’ve used an older version of Hibernate, you should read the first two chapters quickly to get an overview and then jump into the middle with chapter 3. We will, whenever appropriate, tell you if a particular section or subject is optional or reference material that you can safely skip during your first read.

iOS Animations by Tutorials, Third Edition, Todorov M., 2016.

   In this book, you’ll learn about various iOS animation techniques, from simple view animations, to vivid 3D animations, to view controller animations that make the navigation in your app look and feel great.
By the end of this book, you’ll have worked through the chapter content and you’ll have hands-on experience solving the challenges at the end of the chapters — and you’ll be well on your way to coming up with stunning animations for your ownapps!

Graphing Data with R, An Introduction, Hilfiger J.J., 2016.

   It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.

Математические методы в бизнесе и менеджменте, Учебное пособие, Покровский В.В., 2020.

В учебном пособии представлены методы линейного программирования и математической статистики, позволяющие предпринимателю принять оптимальное или близкое к оптимальному решение в условиях рыночной экономики. Описана методика построения математических моделей, графическое и численное решение задач оптимизации в среде MS Excel. Рассмотрено применение статистических критериев, позволяющее принимать решение на основе строгих методов, отсеивающих случайные причины. Предложены алгоритмы компьютерной обработки статистических критериев. Отдельная глава посвящена задачам и упражнениям, наиболее трудные из которых приводятся с решениями. Для студентов и преподавателей высших учебных заведений.

Программирование, Введение в профессию, Том 2, Низкоуровневое программирование, Столяров А.В., 2016.

   Второй том учебника А. В. Столярова посвящён языку ассемблера и языку Си, с которыми традиционно связывают термин «низкоуровневое программирование».
Кроме того, в книге даются сведения об инструментах программиста, включая средства отладки, утилиту автоматизированной сборки и системы контроля версий.

Программирование для нормальных с нуля на языке Python, Часть 1, Сысоева М.В., Сысоев И.В., 2023.

   Книга - учебник, задачник и самоучитель по алгоритмизации и программированию на языке Python. Она не требует предварительных знаний в области программирования и может использоваться для обучения «с нуля».
Издание адресовано студентам, аспирантам и преподавателям инженерных и естественно-научных специальностей вузов, школьникам старших классов и учителям информатики. Обучение языку в значительной степени строится на примерах решения задач обработки результатов радиофизического и биологического экспериментов.