Learn how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren’t using everything the language has to offer. By taking you through Python’s key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time—what experts consider Pythonic.
Many programmers who learn Python basics fall into the trap of reinventing the wheel because of past experience in other languages, and try to bend the language to patterns that don't really apply to it. Author Luciano Ramalho, a Python Software Foundation member and Python programmer for 15 years, helps you drop your accent from another language so you can code Python fluently.
•Learn practical applications of generators for database processing
•Rethink some design patterns in a Python context
•Examine attribute descriptors and when to use them: the key to ORMs
•Explore Pythonic objects: protocols versus interfaces, abstract base classes and multiple inheritance

Part of Sterling's extremely popular Milestones series, this illustrated exploration of computer science ranges from the ancient abacus to superintelligence and social media.

With 250 illustrated landmark inventions, publications, and events--encompassing everything from ancient record-keeping devices to the latest computing technologies--this highly topical addition to the Sterling Milestones series takes a chronological journey through the history and future of computer science. Two expert authors, with decades' of experience working in computer research and innovation, explore topics including the Sumerian abacus, the first spam message, Morse code, cryptography, early computers, Isaac Asimov's laws of robotics, UNIX and early programming languages, movies, video games, mainframes, minis and micros, hacking, virtual reality, and more.

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.
Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare.
Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless.
Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going.
The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including:
• How text generators create novel stories and articles
• How deep learning systems learn to play and win at human games
• How image classification systems identify objects or people in a photo
• How to think about probabilities in a way that's useful to everyday life
• How to use the machine learning techniques that form the core of modern AI
Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it.
Who Should Read This Book
You don’t need math or programming experience. You don’t need to be a computer whiz. You don’t have to be a technologist at all!
This book is for anyone with curiosity and a desire to look behind the headlines. You may be surprised that most of the algorithms of deep learning aren’t very complicated or hard to understand. They’re usually simple and elegant and gain their power by being repeated millions of times over huge databases.
In addition to satisfying pure intellectual curiosity, Glassner wrote this book for people who come face to face with deep learning, either in their own work or when interacting with others who use it. After all, one of the best reasons to understand AI is so we can use it ourselves! We can build AI systems now that help us do our work better, enjoy our hobbies more deeply, and understand the world around us more fully.
If you want to know how this stuff works, you’re going to feel right at home.

◎ 编辑推荐
☆本书基于作者的开源GitHub图书，广受读者喜爱，市面上难得的原创Python进阶图书。
☆写作方式别具一格，核心知识点通过三大板块来阐述：基础知识、案例故事、编程建议。
其中基础知识帮助大家快速回顾Python基础；案例故事由作者经历的编程项目与案 例改编而来，兼具实战性与趣味性；编程建议以大家喜闻乐见的条目式知识点呈现，短小精悍，可直接应用于自己的编程实践中。
◎ 内容简介
本书基于广受好评的“Python工匠”系列开源文章。
全书从工程实践角度出发，通过剖析核心知识、展示典型案例与总结实用技巧，帮助大家系统进阶Python，写好工程代码，做好实践项目。
本书共计13章，分为五大部分：变量与基础类型、语法结构、函数与装饰器、面向对象编程、总结与延伸，涵盖Python编程的方方面面。

In A Tour of C++, Third Edition, Bjarne Stroustrup provides an overview of ISO C++, C++20, that aims to give experienced programmers a clear understanding of what constitutes modern C++. Featuring carefully crafted examples and practical help in getting started, this revised and updated edition concisely covers most major language features and the major standard-library components needed for effective use.

Stroustrup presents C++ features in the context of the programming styles they support, such as object-oriented and generic programming. His tour is remarkably comprehensive. Coverage begins with the basics, then ranges widely through more advanced topics, emphasizing newer language features. This edition covers many features that are new in C++20 as implemented by major C++ suppliers, including modules, concepts, coroutines, and ranges. It even introduces some library components in current use that are not scheduled for inclusion in the standard until C++23.

This authoritative guide does not aim to teach you how to program (for that, see Stroustrup's Programming: Principles and Practice Using C++, Second Edition), nor will it be the only resource you'll need for C++ mastery (for that, see Stroustrup's The C++ Programming Language, Fourth Edition, and recommended online sources). If, however, you are a C or C++ programmer wanting greater familiarity with the current C++ language, or a programmer versed in another language wishing to gain an accurate picture of the nature and benefits of modern C++, you won't find a shorter or simpler introduction.

本书是同名经典畅销图书的全新升级版本，针对C++11、C++14、C++17标准进行了全面更新，并对所有的新语言特性（包括可变参数模板、通用lambda、类模板参数推导等）进行了解释。
全书共28章。首先全面介绍了本书的内容结构和相关情况。第1部分（第1～11章）介绍了模板的基本概念，第2部分（第12～17章）深入阐述了模板的细节，第3部分（第18～28章）介绍了C++模板所支持的基本设计技术。附录A、附录B、附录C、附录D和附录E分别为一处定义原则、值类别、重载解析、标准类型实用程序和概念的相关资料。
本书适合对C++模板技术感兴趣的有一定经验的程序员阅读。

在本书中，C++的创造者Bjarne Stroustrup描述了现代C++语言的构成。这本简洁、自成体系的导论书籍包含C++语言大多数主要特性和标准库组件，当然，也并未深入介绍，而是给予程序员一个有意义的语言概述、一些关键的例子以及起步阶段的实用帮助。
在本书中，作者通过介绍编程风格（例如面向对象编程和泛型编程）引出支持它们的C++特性。从基本特性开始，延伸到更宽范围的进阶主题，包括很多C++17新特性，例如移动语义、一致初始化、lambda表达式、改进的容器、随机数以及并发。本书非常全面，甚至包含一些为C++20提出的扩展，例如概念和模块。本书最后讨论了C++语言的设计和演化。
这本C++导论书籍的主旨不在于教你如何编程（如果出于这一目的，请参阅本作者的《C++程序设计：原理与实践》(原书第2版）(分基础篇、进阶篇)，已由机械工业出版社出版），它也不可能是你精通C++的唯一资源（如果出于这一目的，请参阅本作者的《C++程序设计语言》（原书第4版），已由机械工业出版社出版，以及推荐的在线资源）。但是，如果你是一名C或C++程序员，希望更加熟悉现在的C++语言，或者你是一名精通其他语言的程序员，希望获得有关现代C++语言本质和优点的精确描述，你不可能找到比这本导学书籍更短或更简单的介绍了。

如今科学工程项目越来越大、越来越复杂，许多项目都采用 C++编程语言来完成。《现代C++探秘：编码、工程与科研必修（基于C++ 14）（英文版）》深入介绍了基于 C++编程语言高级功能的复杂方法，旨在帮助您快速入门，实现如表达式模板之类的高级技术。您还将学习如何使用 C++编程语言的强大类库：标准模板库（ STL）以及用于算法、线性代数、微分方程、图形的科学类库。《现代C++探秘：编码、工程与科研必修（基于C++ 14）（英文版）》演示了如何使用面向对象、泛型编程、元编程和过程技术来编写清晰明了、富有表达力的软件。当您学完《现代C++探秘：编码、工程与科研必修（基于C++ 14）（英文版）》，将掌握如何使用 C++编程语言来编写高质量、高性能的软件。