Python Data Science Handbook

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional f

本書的目標是介紹如何使用Python 語言及其工具，解決和數據科學所關聯的複雜任務。 全書共6 個部分，分22 章，涵蓋了Python 數據科學基礎知識，數據的採集、整理、整形、應用，數據的可視化，數據分析和處理，數據學習，以及和數據科學相關的10 個話題等。本書將重點放在使用正確的工具上，教讀者如何使用Anaconda、atPlotLib、NumPy、pandas、Scikit-learn 等常

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres

This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big

With the growing popularity of “big data”, the potential value of personal data has attracted more and more attention. Applications built on personal data can create tremendous social and economic ben

This comprehensive handbook addresses the sophisticated forensic threats and challenges that have arisen in the modern digital age, and reviews the new computing solutions that have been proposed to t

The Routledge Handbook of Interpreting provides a comprehensive survey of the field of interpreting for a global readership. The handbook includes an introduction and twenty-seven chapters by con

This book is written to address the issues relating to data gathering, data warehousing, and data analysis, all of which are useful when working with large amounts of data. Using practical examples of

Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++Key FeaturesUse data structures such as arrays, stacks, trees, lists, an

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data sci

This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated defini

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers

Cases of Teachers’ Data Use addresses applications of student data beyond theoretical, school-, and district-level examinations by presenting case studies of teachers’ data use in practice. Within the

Cases of Teachers’ Data Use addresses applications of student data beyond theoretical, school-, and district-level examinations by presenting case studies of teachers’ data use in practice. Within the

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain g

本書將介紹股票、期權、利率衍生品等金融工具定價方法，如何根據市場指數進行大數據分析，以及如何使用NoSQL存儲tick數據，可解決建模、交易策略優化和風險管理等金融領域的複雜問題。本書面向本科生、研究生、算法開發的初學者以及使用Python進行定量研究的金融領域軟件開發人員。你無需精通Python，熟悉其基本使用情況即可。

Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, expl

Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, expl

"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of usin

《Python語言實用教程》是編者在20多年計算機教學實踐的基礎上編著而成的，希望《Python語言實用教程》能做到：概念清晰、例題精選；把握語言知識點與實用技能；充分體現出語言的實用性與應用價值。 全書內容全面、重點突出，共含12章，主要內容包括Python概述、語言基礎、選擇與循環、Python序列、函數與模塊、面向對象程序設計、文件、異常處理、數據結構與操作、科學計算、數據庫應用、網絡與

Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs a

When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.

While most data mining algorithms deal with static data, the seven papers in this collection address systems producing massive high-speed streams of ever-changing data generated by dynamic process

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniqu

The Routledge Handbook of Politics in Asia is designed to serve as a comprehensive reference guide to politics in Asia. Covering East, South, Southeast and Central Asia, this Handbook brings together

The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of

Acquisition and Processing of Marine Seismic Data demonstrates the main principles, equipment required and suitable selection parameters in 2D/3D marine seismic data acquisition. It also examines theo

本書是面向Python初學者的一本實用學習筆記。全書共10章：第1章介紹Python的基礎知識，包括Anaconda、IPython解釋器、JupyterNotebook等Python基本工具的使用；第2章介紹Python的基本用法，包括基本語法、數據類型、判斷與循環、函數與模塊、異常與警告以及文件讀寫等；第3章介紹Python的進階用法，包括函數進階、迭代器和生成器、裝飾器、上下文管理器以及變量

Combining philological data, social-science models, and cross-cultural comparisons, Russaw examines the systems that constrict biblical daughters and the strategies they employ when hostile social for

Big Data Shocks examines the roots of big data, the current climate and rising stars in this world. The book explores the issues raised by big data and discusses theoretical as well as practical appro

Big Data Shocks examines the roots of big data, the current climate and rising stars in this world. The book explores the issues raised by big data and discusses theoretical as well as practical appro

Biolinguistics involves the study of language from a broad perspective that embraces natural sciences, helping us better to understand the fundamentals of the faculty of language. This Handbook offers the most comprehensive state-of-the-field survey of the subject available. A team of prominent scholars working in a variety of disciplines is brought together to examine language development, language evolution and neuroscience, as well as providing overviews of the conceptual landscape of the field. The Handbook includes work at the forefront of contemporary research devoted to the evidence for a language instinct, the critical period hypothesis, grammatical maturation, bilingualism, the relation between mind and brain, and the role of natural selection in language evolution. It will be welcomed by graduate students and researchers in a wide range of disciplines, including linguistics, evolutionary biology and cognitive science.

When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.

This handbook is the first of its kind to provide a clear, accessible, and comprehensive introduction to the most important scientific and management topics in marine environmental protection. Leading

A relatable and friendly introduction to data structures and their implementation The 5th Edition of Data Structures and Abstractions with Java introduces readers to data structures (CS-2) i

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or da

本書在介紹物聯網的組成、典型架構和應用的基礎上，采用實例代碼講述python編程基礎和應用實例，包括用micropython進行物聯網單片機的開發、用python開發物聯網網關的方法、python django框架開發物聯網web後臺和前端知識及物聯網常用通信方案2G、lora、zigbee和物聯網通信協議MQTT、COAP等，最重要的內容是通過一個完整的大型物聯網項目實例講解python開發物聯

本書以零基礎爲起點介紹Python程序設計方法。各章內容由淺入深、相互銜接、前後呼應、循序漸進。全書各章節選用豐富的程序設計語言經典實例來講解基本概念和程序設計方法，同時配有大量習題供讀者練習。全書共9章，第1章介紹Python語言開發環境；第2章介紹Python程序設計語言的基礎語法；第3章介紹列表和元組；第4章介紹字符串；第5章介紹字典和集合；第6章介紹函數與模塊；第7章介紹Python的程序

Hydroclimatology provides a systematic structure for analysing how the climate system causes time and space variations (both global and local) in the hydrologic cycle. Changes in the relationship between the climate system and the hydrologic cycle underlie floods, drought and possible future influences of global warming on water resources. Land-based data, satellite data, and computer models contribute to our understanding of the complex time and space variations of physical processes shared by the climate system and the hydrologic cycle. Blending key information from the fields of climatology and hydrology - which are not often found in a single volume - this is an ideal textbook for students in atmospheric science, hydrology, Earth and environmental science, geography, and environmental engineering. It is also a useful reference for academic researchers in these fields.

This volume contains the proceedings of the 2017 International Conference on Data Mining (DMIN'17).