Litgu.ru - Литературный Гуру

Название: Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
Автор: Quan Li
Издательство: Oxford University Press
Год: 2018
Страниц: 364
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Статистический анализ широко распространен в социальных науках, и среди наиболее популярных программ - R. Эта книга представляет собой основу для студентов и аспирантов в области социальных наук о том, как использовать язык программирования R для управления, визуализации и анализа данных. Основное внимание уделяется тому, как решать существенные вопросы с помощью анализа данных и тиражировать опубликованные результаты. Книга "Использование R для анализа данных в социальных науках" использует минималистский подход и охватывает только самые важные функции и навыки в R для проведения воспроизводимых исследований. Она подчеркивает практические потребности учащихся, использующих R, показывая, как импортировать, проверять и управлять данными, понимать логику статистического вывода, визуализировать данные и результаты с помощью гистограмм, коробочных диаграмм, диаграмм рассеяния и диагностических диаграмм, а также анализировать данные

Название: Java APIs, Extensions and Libraries: With JavaFX, JDBC, jmod, jlink, Networking, and the Process API, 2nd Edition
Автор: Kishori Sharan
Издательство: Apress
Год: 2018
Страниц: 813
Формат: PDF, EPUB
Размер: 12 Mb
Язык: English

This book completes the Apress Java learning journey and is a comprehensive approach to learning Java APIs, extensions, and modules such as Java EE integration, mobile Java modules, JavaFX, and JDBC. In this book, you'll learn how to build user interfaces with Swing and JavaFX as well as how to write network programs with the new Java 9 and much more.

Автор: Ethan Brown
Название: Web Development with Node and Express: Leveraging the jаvascript Stack
Издательство: O'Reilly Media
Год: 2014
ISBN: 9781491949306
Язык: English
Формат: pdf
Размер: 11 mb
Страниц: 332

Learn how to build dynamic web applications with Express, a key component of the Node/jаvascript development stack.

Название: Introduction to C++: Programming Concepts and Applications
Автор: John Keyser
Издательство: The Great Courses
Год: 2019
Формат: True PDF
Страниц: 307
Размер: 11.5 Mb
Язык: English

Computers are so common and affect our lives in so many ways that it’s easy to feel like they control us. In fact, we control them. Or, we do if we know how. That’s what computer programming is all аbout: taking command of the most powerful machines ever invented. And among the programming languages designed to get computers to do what we want, C++ ranks as one of the most efficient, effective, and popular. In 24 half-hour lectures, Introduction to C++: Programming Concepts and Applications instructs you how to use this celebrated tool, which is well suited to an impressive range of coding projects. Taught by award-winning Professor John Keyser of Texas A&M University, the course quickly moves from basic principles to more advanced concepts in coding, but anyone curious about how software works will find it a practical guide to computer literacy.

Название: Practical Oracle JET: Developing Enterprise Applications in jаvascript
Автор: Daniel Curtis
Издательство: Apress
Год: 2019
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 11.4 MB

Learn how to use Oracle`s jаvascript Extension Toolkit (JET) as a solution to the all too common problem of internal back office and intranet applications that are typically ugly, clunky, and cumbersome to use. JET simultaneously provides you with a jаvascript toolkit that is cutting-edge while being stable enough for enterprise development in an ecosystem that is notorious for its fast-paced rate of change. Practical Oracle JET walks through the process of developing a functional application using Oracle JET. By the end of this book you will have built a support ticket system using a variety of different components bundled with the toolkit, including lists, inputs, and visualizations. The skills acquired from reading this book and working the examples equip you to build your own applications and take your understanding even further to more advanced topics.

Название: Rethinking Productivity in Software Engineering
Автор: Caitlin Sadowski, Thomas Zimmermann
Издательство: Apress
Год: 2019
Страниц: 320
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Get the most out of this foundational reference and improve the productivity of your software teams. This book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You`ll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering.

Название: Как устроен Python. Гид для разработчиков, программистов и интересующихся
Автор: Мэтт Харрисон
Издательство: Питер
ISBN: 978-5-4461-0906-7
Серия: Библиотека программиста
Год: 2019
Формат: PDF/DjVu
Страниц: 272
Размер: 10 MB
Язык: Русский

Python в моде! Это самый популярный язык программирования. Вакансии для Python-разработчиков входят в список самых высокооплачиваемых, а благодаря бурному развитию обработки данных, знание Python становится одним из самых востребованных навыков в среде аналитиков.
Python - невероятный язык, популярный во многих областях. Он используется для автоматизации простых и сложных задач, цифровой обработки, веб-разработки, игр...
Независимо от того, перешли ли вы на Python с другого языка, руководите группой программистов, работающих на Python, или хотите расширить свое понимание, имеет смысл подойти к изучению Python со всей серьезностью.

Название: Design and Analysis of Algorithms: A Contemporary Perspective
Автор: Sandeep Sen, Amit Kumar
Издательство: Cambridge University Press
Год: 2019
Страниц: 395
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

Название: Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python
Автор: David Jamieson Bolder
Издательство: Springer
Год: 2018
Страниц: 704
Язык: английский
Формат: True PDF
Размер: 11.6 MB

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented.

Название: Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition
Автор: Abhishek Mishra
Издательство: Sybex
Год: 2019
Формат: True PDF
Страниц: 510
Размер: 18.1 Mb
Язык: English

Put the power of AWS Cloud machine learning services to work in your business and commercial applications!
Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services.