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C++20 for Programmers, Deitel Paul, Deitel Harvey


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Цена: 8908.00р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
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При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Deitel Paul, Deitel Harvey
Название:  C++20 for Programmers
ISBN: 9780136905691
Издательство: Pearson Education
Издательство: Pearson
Классификация:
ISBN-10: 0136905692
Обложка/Формат: Paperback
Страницы: 1000
Вес: 1.63 кг.
Дата издания: 23.11.2020
Язык: English
Размер: 182 x 233 x 62
Рейтинг:
Поставляется из: Англии
Описание: The professional programmers Deitel(R) guide to C++20

C++20 for Programmers builds up an intuition for modern C++ that every programmer should have in the current software engineering ecosystem. The unique and brilliant ordering in which the Deitels present the material jibes much more naturally with the demands of modern, production-grade programming environments. I strongly recommend this book for anyone who needs to get up to speed on C++, particularly in professional programming environments where the idioms and patterns of modern C++ can be indecipherable without the carefully crafted guidance that this book provides.
--Dr. Daisy Hollman, ISO C++ Standards Committee Member

This is a fine book that covers a surprising amount of the very large language that is C++20. An in-depth treatment of C++ for a reader familiar with how things work in other programming languages.
--Arthur ODwyer, C++ trainer, Chair of CppCons Back to Basics track, author of several accepted C++17/20/23 proposals and the book Mastering the C++17 STL

Forget about callback functions, bare pointers and proprietary multithreading libraries--C++20 is about standard concurrency features, generic lambda expressions, metaprogramming, tighter type-safety and the long-awaited concepts, which are all demonstrated in this book. Functional programming is explained clearly with plenty of illustrative code listings. The excellent chapter, Parallel Algorithms and Concurrency: A High-Level View, is a highlight of this book.
--Danny Kalev, Ph.D. and Certified System Analyst and Software Engineer, Former ISO C++ Standards Committee Member
Written for programmers with a background in another high-level language, in this book, youll learn Modern C++ development hands on using C++20 and its Big Four features--Ranges, Concepts, Modules and Coroutines. For more details, see the Preface, and the table of contents diagram inside the front cover.

In the context of 200+, hands-on, real-world code examples, youll quickly master Modern C++ coding idioms using popular compilers--Visual C++ (R), GNU (R) g++, Apple (R) Xcode (R) and LLVM (R)/Clang. After the C++ fundamentals quick start, youll move on to C++ standard library containers array and vector; functional-style programming with C++20 Ranges and Views; strings, files and regular expressions; object-oriented programming with classes, inheritance, runtime polymorphism and static polymorphism; operator overloading, copy/move semantics, RAII and smart pointers; exceptions and a look forward to C++23 Contracts; standard library containers, iterators and algorithms; templates, C++20 Concepts and metaprogramming; C++20 Modules and large-scale development; and concurrency, parallelism, the C++17 and C++20 parallel standard library algorithms and C++20 Coroutines.

Features

  • Rich coverage of C++20s Big Four: Ranges, Concepts, Modules and Coroutines
  • Objects-Natural Approach: Use standard libraries and open-source libraries to build significant applications with minimal code
  • Hundreds of real-world, live-code examples
  • Modern C++: C++20, 17, 14, 11 and a look to C++23
  • Compilers: Visual C++(R), GNU(R) g++, Apple Xcode(R) Clang, LLVM(R)/Clang
  • Docker: GNU(R) GCC, LLVM(R)/Clang
  • Fundamentals: Control statements, functions, strings, references, pointers, files, exceptions
  • Object-oriented programming: Classes, objects, inheritance, runtime and static polymorphism, operator overloading, copy/move semantics, RAII, smart pointers
  • Functional-style programming: C++20 Ranges and Views, lambda expressions
  • Generic programming: Templates, C++20 Concepts and metaprogramming
  • C++20 Modules: Large-Scale Development
  • <



Python for Programmers

Автор: Deitel Paul J., Deitel Harvey
Название: Python for Programmers
ISBN: 0135224330 ISBN-13(EAN): 9780135224335
Издательство: Pearson Education
Рейтинг:
Цена: 8908.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The professional programmer's Deitel(R) guide to Python(R) with introductory artificial intelligence case studies


Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today's most compelling, leading-edge computing technologies and programming in Python-one of the world's most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.


In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you'll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1--5 and a few key parts of Chapters 6--7, you'll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11--16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter(R) for sentiment analysis, cognitive computing with IBM(R) Watson(TM), supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop(R), Spark(TM) and NoSQL databases, the Internet of Things and more. You'll also work directly or indirectly with cloud-based services, including Twitter, Google Translate(TM), IBM Watson, Microsoft(R) Azure(R), OpenMapQuest, PubNub and more.


Features

  • 500+ hands-on, real-world, live-code examples from snippets to case studies
  • IPython + code in Jupyter(R) Notebooks
  • Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code
  • Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions
  • Procedural, functional-style and object-oriented programming
  • Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames
  • Static, dynamic and interactive visualizations
  • Data experiences with real-world datasets and data sources
  • Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression
  • AI, big data and cloud data science case studies: NLP, data mining Twitter(R), IBM(R) Watson(TM), machine learning, deep learning, computer vision, Hadoop(R), Spark(TM), NoSQL, IoT
  • Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn(R), Keras and more.
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