Название: Как не надо программировать на C++
Автор: С. Уэллин
Издательство: "Питер"
ISBN: 5-469-00112-1
Год: 2004
Страниц: 241
Формат: DjVu
Размер: 10 Mб
Язык: Русский
Качество: Хорошее

Как известно, умный учится на чужих ошибках, а глупец - на своих. Книга Стива Уэллина "Как не надо программировать на C++. 111 нерабочих и 3 рабочих программы, или Почему 2 + 2 = 5986?" содержит впечатляющую подборку ошибок, часто встречающихся при программировании на C++, от элементарных до самых сложных и изощренных. В сущности, это увлекательный сборник головоломок для программистов, щедро усыпанный профессиональными байками и фольклором.

Автор: Тан К.Ш., Стиб В.-Х., Харди Й.
Название: Символьный C++: Введение в компьютерную алгебру с использованием объектно-ориентированного программирования
Издательство: М.: Мир
Год: 2001
ISBN: 5-03-003355-6
Язык: Русский
Формат: pdf
Размер: 11,4 mb
Страниц: 622с.: ил.

В книге представлен подход к разработке новой системы компьютерной алгебры, основанной на объектно-ориентированном программировании.

Название: C Programming Sample Questions for Exams and Interviews: Useful for Students in Exams and Interviews
Автор: Rashmi V.
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 231
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

The Author is in Computer Science and Engineering teaching field for Engineering colleges. During the service when the questions are asked on any sub-topic of C programming, many students used to get confusion to give the right answer. The same way they used to get confusion from the questions raised by the interviewer also for Jobs. In order to share the knowledge in the form of questions and show the C program solutions in the form of Kindle book. The are many C Programming books. In general the students seek the real programming questions either for their exams or for the job interviews.

Название: MATLAB SimBiology Reference
Автор: MathWorks, Inc.
Издательство: MathWorks, Inc.
Год: 2020
Страниц: 1204
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

SimBiology provides apps and programmatic tools for modeling, simulating, and analyzing dynamic systems, focusing on quantitative systems pharmacology (QSP), physiologically-based pharmacokinetic (PBPK), and pharmacokinetic/pharmacodynamic (PK/PD) applications. You can build models interactively using the SimBiology block diagram editor or programmatically using the MATLAB language. Your models can be created from scratch, imported as SBML formatted files, or built on the model examples provided in SimBiology.

Название: Develop Intelligent iOS Apps with Swift: Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using NLP
Автор: Ozgur Sahin
Издательство: Apres
Год: 2020
Страниц: 173
Язык: английский
Формат: pdf (true), rtf
Размер: 10.4 MB

Build smart apps capable of analyzing language and performing language-specific tasks, such as script identification, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. This book will get you started in the world of building literate, language understanding apps. Cutting edge ML tools from Apple like CreateML, CoreML, and TuriCreate will become natural parts of your development toolbox as you construct intelligent, text-based apps.

Название: Practical Ansible: Configuration Management from Start to Finish
Автор: Vincent Sesto
Издательство: Apress
Год: 2021
Страниц: 276
Язык: английский
Формат: pdf (true), rtf
Размер: 10.1 MB

Go from the basics of using Ansible to becoming proficient at implementing configuration management in your projects. This book uses a unique approach to teaching Ansible and configuration management while including realistic examples in its day-to-day use from server-based infrastructure to Amazon cloud-based deployments. Practical Ansible is separated into seven chapters that allow you to build your knowledge with each chapter, developing further as we move through the examples provided. It begins with the basics of Ansible, providing you with details on how to install and configure your environment while working with different Ansible modules from the command line.

Название: Introduction to the Tools of Scientific Computing
Автор: Einar Smith
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 344
Размер: 10 Mb
Язык: English

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike widely used standard approaches, it does not focus on any particular language but aims to explain the key underlying concepts.
In general, new concepts are first introduced in the particularly user-friendly Python language and then transferred and expanded in various scientific programming environments from C / C ++, Julia and MATLAB to Maple. This includes different approaches to distributed computing.

Название: MATLAB Recipes for Earth Sciences, Fifth Edition
Автор: Martin H. Trauth
Издательство: Springer
Год: 2021
Страниц: 526
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

MATLAB is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded.

Название: Python Programming and Numerical Methods: A Guide for Engineers and Scientists
Автор: Qingkai Kong, Timmy Siauw, Alexandre Bayen
Издательство: Academic Press
Год: 2021
Формат: PDF
Страниц: 462
Размер: 19 Mb
Язык: English

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.

Название: Machine Learning for Time Series Forecasting with Python
Автор: Франческа Лаццери
Издательство: Wiley
Год: 2021
Формат: PDF
Страниц: 216
Размер: 10 Mb
Язык: English

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource

Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.