Python Data Science Handbook

In programming courses, using the different syntax of multiple languages, such as C plus plus, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduc

本書共分五個章節，分別是電腦科學、Python面向物件程式設計、常用演算法思想及其程式實現、Python資料分析和Python擴展應用。不僅涵蓋了Python設計的基礎知識，還列舉了幾種常用的經典演算法，最後從大資料分析和擴展應用兩個方向介紹了Python語言的強大之處。此外，在每個小節的最後，還設置了上機實踐、課堂練習、閱讀材料等板塊，適合中學生的學習以及課程開設。本書還提供線上網路課程，通過M

本教程集教材、練習冊、上機指導於一體，基於Windows 10和Python 3.5.2構建Python開發平臺，闡述Python語言的基礎知識，以及使用Python語言的實際開發應用實例，具體內容包括：Python概述、Python語言基礎、程式流程控制、常用內置資料類型、系列資料類型、輸入和輸出、錯誤和異常處理、函數、類和物件、模組和用戶端、演算法與資料結構基礎、圖形用戶介面、圖形繪製、數值日

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

The Python Standard Library for Python 3.x contains hundreds of exceptionally useful modules, all extensively tested and ready to jump-start your application development. The Python Standard Library b

Using fun graphics and easy-to-follow instructions, Coding Projects in Python is a straightforward, visual guide that shows young learners how to build their own computer projects using Python, an eas

本書分為三大部分，其中第1~4章是Python基礎，這個部分會介紹閱讀本書所必須掌握的Python知識。第5~7章是講解Python直接提供的資料處理工具，這些工具包括一些易用的資料結構、標準庫和第三方工具。第8~12章是一些實際的案例，將會涉及Python主要擅長的幾個領域。後的三個附錄分別介紹了關於Python的一些擴展知識。

Drawing on global data and analysis conducted between 1995 and 2015 with 300 firms, the authors explain how science and technology-enabled innovation can be turned into commercial products and ser

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation an

Gain a fundamental understanding of Python’s syntax and features with the third edition ofBeginning Python, an up–to–date introduction and practical reference. Covering a wide array of Python–related programming topics, including addressing language internals, database integration, network programming, and web services, you’ll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in latest Python 3. Advanced topics such as extending Python and packaging/distributing Python applications, are also covered.

This detailed handbook covers different chromatographic analysis techniques and chromatographic data for compounds found in air, water, and soil, and sludge. The new edition outlines developments rele

全書共分16章，對Python內部工作原理進行了一定深度的剖析，99%以上的案例代碼使用Python 3.5.1實現，也適用於Python 3.4.x（除少數幾個新特性之外）和最新版本Python 3.5.2以及Python 3.6.0，極個別案例使用Python 2.7.11實現（同樣適用於其他版本Python 2.7.x，包括最新的Python2.7.12），適當介紹了Python代碼優化、系

The Handbook of Psychophysiology has been the authoritative resource for more than a quarter of a century. Since the third edition was published a decade ago, the field of psychophysiological science has seen significant advances, both in traditional measures such as electroencephalography, event-related brain potentials, and cardiovascular assessments, and in novel approaches and methods in behavioural epigenetics, neuroimaging, psychoneuroimmunology, psychoneuroendocrinology, neuropsychology, behavioural genetics, connectivity analyses, and non-contact sensors. At the same time, a thoroughgoing interdisciplinary focus has emerged as essential to scientific progress. Emphasizing the need for multiple measures, careful experimental design, and logical inference, the fourth edition of the Handbook provides updated and expanded coverage of approaches, methods, and analyses in the field. With state-of-the-art reviews of research in topical areas such as stress, emotion, development, langu

The Cambridge Handbook of Morphology describes the diversity of morphological phenomena in the world's languages, surveying the methodologies by which these phenomena are investigated and the theoretical interpretations that have been proposed to explain them. The Handbook provides morphologists with a comprehensive account of the interlocking issues and hypotheses that drive research in morphology; for linguists generally, it presents current thought on the interface of morphology with other grammatical components and on the significance of morphology for understanding language change and the psychology of language; for students of linguistics, it is a guide to the present-day landscape of morphological science and to the advances that have brought it to its current state; and for readers in other fields (psychology, philosophy, computer science, and others), it reveals just how much we know about systematic relations of form to content in a language's words - and how much we have yet

本書以Python 為樣本，不僅介紹了編程的基本概念，還著重講解了編程語言的範式（面向過程、面向物件、面向函數），並把編程語言的範式糅在Python 中，讓讀者不僅學會Python，未來在學習其他編程語言時也變得更加容易。

本書從Python的安裝開始，詳細講解了Python從簡單程式延伸到Python網路爬蟲的全過程。本書從實戰出發，根據不同的需求選取不同的爬蟲，有針對性地講解了幾種Python網路爬蟲。 本書共8章，涵蓋的內容有Python語言的基本語法、Python常用IDE的使用、Python第三方模組的導入使用、Python爬蟲常用模組、Scrapy爬蟲、Beautiful Soup爬蟲、Mechanize

Are you keen to add Python to your programming skills? Learn quickly and have some fun at the same time withHead First Python. This updated book takes you beyond typical how-to manuals with engaging i

The book will discuss the significance of Visualization in Business Intelligence and Data Science Using Tableau. It will explore the power of statistics and data mining to help with the understanding

The compact book takes you through the basics of the Python language and lets you experience first hand PyGame, a Python module that allows you to create fast-paced video games with great graphics and

Sparseness and heterogeneity of data are major challenges in the field of food science. Evolutionary algorithms can be effectively used to tackle these issues: in this book, we highlight some promisin

Invent Your Own Computer Games with Python will show you how to make classic computer games in Python, even if you've never programmed before. Each chapter introduces a new game as well as step-by-ste

This text provides a comprehensive and concise description of the basic concepts of Complex Network theory. It focuses on the scientific opportunities provided by the appearance of big-data and descri

Handbook on the Physics and Chemistry of Rare Earths: Including Actinides is a continuous series of books covering all aspects of rare earth science, including chemistry, life sciences, materials scie

Python是一種帶有動態語義的、解釋性的、面向對象的高級編程語言。其高級內置數據結構，結合動態類型和動態綁定，使其對於敏捷軟件開發非常具有吸引力。同時，Python作為腳本型（膠水）語言連接現有的組件也十分高效。Python語法簡潔，可讀性強，從而能降低程序的維護成本。不僅如此，Python支持模塊和包，鼓勵程序模塊化和代碼重用。

Learn Python Programming Fast, Easily And In A Fun Way, Starting From The Basics And Become An Expert In No Time! If You Are New To Python Programming And Want To Start From A Solid Foundation.. This

Leverage the cloud into competitive advantage through optimized customer experience Culture–Data–Design looks at customer experience through the lens of the cloud to bring you a cutting-edge handbook

Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes pra

A good data scientist knows how to do something really well, but a great data scientist can do "something of everything." From raw data all the way to shining in front of C-level executives,

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old,

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learnin

International contributors in computer science, information technology, data science, software engineering, and cloud and grid computing reveal the latest research, development, practice, and applicat

Formal semantics - the scientific study of meaning in natural language - is one of the most fundamental and long-established areas of linguistics. This Handbook offers a comprehensive, yet compact guide to the field, bringing together research from a wide range of world-leading experts. Chapters include coverage of the historical context and foundation of contemporary formal semantics, a survey of the variety of formal/logical approaches to linguistic meaning and an overview of the major areas of research within current semantic theory, broadly conceived. The Handbook also explores the interfaces between semantics and neighbouring disciplines, including research in cognition and computation. This work will be essential reading for students and researchers working in linguistics, philosophy, psychology and computer science.

In the fourth DATA Set adventure, the DATA Set race to deprogram an army of robots before they take over Newtonberg Elementary School.One morning, Mrs. Bell, the science teacher, challenges the studen

Social media sites generate massive volumes of natural language data that are available for social science research. But social scientists have struggled to take advantage of "big data", and

The rapidly growing field of computational social choice, at the intersection of computer science and economics, deals with the computational aspects of collective decision making. This handbook, written by thirty-six prominent members of the computational social choice community, covers the field comprehensively. Chapters devoted to each of the field's major themes offer detailed introductions. Topics include voting theory (such as the computational complexity of winner determination and manipulation in elections), fair allocation (such as algorithms for dividing divisible and indivisible goods), coalition formation (such as matching and hedonic games), and many more. Graduate students, researchers, and professionals in computer science, economics, mathematics, political science, and philosophy will benefit from this accessible and self-contained book.

English historical linguistics is a subfield of linguistics which has developed theories and methods for exploring the history of the English language. This Handbook provides an account of state-of-the-art research on this history. It offers an in-depth survey of materials, methods, and language-theoretical models used to study the long diachrony of English. The frameworks covered include corpus linguistics, historical sociolinguistics, historical pragmatics and manuscript studies, among others. The chapters, by leading experts, examine the interplay of language theory and empirical data throughout, critically assessing the work in the field. Of particular importance are the diverse data sources which have become increasingly available in electronic form, allowing the discipline to develop in new directions. The Handbook offers access to the rich and many-faceted spectrum of work in English historical linguistics, past and present, and will be useful for researchers and students intere

The essential e-learning design manual, updated with the latest research, design principles, and examplese-Learning and the Science of Instruction is the ultimate handbook for evidence-based e-learnin

For courses in Python Programming Introduces Python programming with an emphasis on problem-solvingNow in its Third Edition, Practice of Computing Using Pythoncontinues to effectively introduce

本書通過闡述Python語言的基礎知識，以及使用Python語言的實際開發應用實例，來介紹如何使用電腦進行問題求解。豐富的例子和習題展示了在真實世界中是如何使用電腦的。目前Python在軟體產業中已經成為最廣泛使用的程式設計語言之一，對於初學者，Python也是理解電腦程式開發的理想工具。