Python Data Science Handbook

★學習人工智慧必修的Python程式設計能力和探索性資料分析 •完整說明人工智慧世代的你需要具備的Python程式設計能力和所需的Python套件，讓你可以靈活運用這些套件來進行探索性資料分析。 •程式的演算法是順序和動作，本書使用流程圖學習程式順序來幫助你了解Python程式結構；使用REPL輸入程式碼來熟悉動作的關鍵字。 •人工智慧最重要的部分就是「資料」，使用JupyterNotebook實作的探索性資料分析，可以幫助你深入了解資料和找出資料之間隱藏的關聯性，以便使用這些關聯性來訓練機器學習模型，進行資料預測。 •以實務角度詳細說明Python資料科學的必學套件：Numpy、Matplotlib、Pandas和Scipy。 •使用實際範例搭配圖例，帶你進入Python機器學習和深度學習。

The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and T

Psychologists can now quantify behaviours beyond the laboratory using a mass-adopted, unified system that is primed for data capture a.k.a. smartphones. This is the first book to bring together related areas of smartphone research and point towards how psychology can benefit and engage with these developments in the future. It critically considers how smartphones and related digital devices help answer and generate new research questions for psychological science. The book then guides readers through how smartphones are being used within psychology and social science more broadly. Drawing from examples of both good and bad practice within current research, a new perspective is brought to major themes and debates across behavioural science. In the digital age, smartphones and associated devices will be able to accomplish much more in the near future. Psychology has a key role to play when it comes to balancing this monumental potential with carefully considered research.

Psychologists can now quantify behaviours beyond the laboratory using a mass-adopted, unified system that is primed for data capture a.k.a. smartphones. This is the first book to bring together related areas of smartphone research and point towards how psychology can benefit and engage with these developments in the future. It critically considers how smartphones and related digital devices help answer and generate new research questions for psychological science. The book then guides readers through how smartphones are being used within psychology and social science more broadly. Drawing from examples of both good and bad practice within current research, a new perspective is brought to major themes and debates across behavioural science. In the digital age, smartphones and associated devices will be able to accomplish much more in the near future. Psychology has a key role to play when it comes to balancing this monumental potential with carefully considered research.

How to use data as a tool for empowerment rather than oppression. Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and c

本書是一本少兒編程入門書，適合零基礎的讀者。本書以“派森號”飛船和西西船長等人的童話故事為載體，從頭開始介紹了Python語言的基礎語法。全書共有6個章節。每章都有約十個獨立的內容來介紹Python的一個知識點，並以任務的形式提出問題，最後逐步解決問題。本書不光講解了Python語言本身，也在內容中穿插了許多計算機程序設計的基礎知識，為孩子在計算機程序設計領域進行入門教育，掃除認知障礙，對今後在該

本書首先介紹理解代碼格式化和代碼注釋的重要性，以及利用內置數據結構和Python字典提高可維護性，使用模塊和元類有效地組織代碼；然後深入介紹Python語言的新特性，並教會讀者如何有效地使用它們；接下來，將深入介紹一些關鍵概念，如異步編程、Python數據類型、類型提示和路徑處理等，並講述調試、單元測試和集成測試的技巧，以保證代碼可以投入生產；最後在附錄中介紹了一些有助於加快開發速度和提高代碼質量的優秀Python工具。閱讀本書之後，你將會熟練地編寫整潔的Python代碼，並可以成功地將這些原則應用到自己的Python項目中。

面對自然語言處理和文本分析應用，解決問題的正確技術是什麼？文本摘要如何真正有效？哪些才是解決多類文本分類的框架？ 《Python文本分析（原書第2版）》通過將數學和理論概念與現實用例的Python實現相結合，全面介紹了文本分析的相關概念、技術、工具及實踐，可幫助你快速掌握文本分析技術，解決實際問題。 《Python文本分析（原書第2版）》首先介紹與文本分析相關的自然語言基本概念以及Pyth

《PYTHON程序設計入門/中小學計算思維訓練用書》以Python3.0為基礎進行編寫，以基礎程序設計和解決程序問題為中心，通過科學合理的結構、通俗易懂的語言，幫助讀者學習計算機思維。《PYTHON程序設計入門/中小學計算思維訓練用書》內容包括變量、條件判斷、循環、列表、字典、函數等基礎概念的介紹，更穿插人工智能與硬件編程相關的項目案例，以達實用性與趣味性的平衡。《PYTHON程序設計入門/中小學

「搭配進階的課程，對Python提供極佳的介紹。透過這個課程了解如何應用Python到對現今軟體發展具有重要性的所有技術領域之中。」—Jeremy YabrowDirector of Engineering, BeyondView, Inc.「你將遠離如尋寶般的探索，獲得能協助你改善DevOps實踐的新知和技術。」—Wes NovackSystems Architect, Pluralsight在

A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.You've mastered the basics. Now you're ready to explor

本書主要介紹如何讓Python 程序發揮強大性能，內容涵蓋針對數值計算和科學代碼的優化，以及用於提高Web 服務和應用響應速度的策略。具體內容有：基準測試與剖析、純粹的Python 優化、基於NumPy和Pandas 的快速數組操作、使用Cython 獲得C 語言性能、編譯器探索、實現併發性、並行處理、分布式處理、高性能設計等。

隨著人工智能時代的到來，Python已經成為主流開發語言。本書針對完全零基礎入門的讀者，採用最小化安裝+極簡代碼的教學方式，讓讀者學練結合，達到入門Python與網絡爬蟲編程的目的。本書使用PyCharm開發環境，提供源碼與開發環境下載。 本書分為16章，從Python版本的演化、環境的搭建開始，逐步介紹Python 3.8語言的語法基礎，包括內置類型、流程控制、函數、類和對象、異常處理、模塊和包

本書以理論結合程式設計開發為原則，使用Python作為開發語言，講解最優化演算法的原理和應用，詳細介紹了Python基礎、Gurobi優化器、線性規劃、整數規劃、多目標優化、動態規劃、圖與網路分析、智慧優化演算法。對於演算法部分的每一種演算法都包含原理和程式設計實踐，使讀者對最優化演算法的認識更加深入。

In the global race to reach the end of AIDS, why is the world slipping off track? The answer has to do with stigma, money, and data. Global funding for AIDS response is declining. Tough choices must be made: some people will win and some will lose. Global aid agencies and governments use health data to make these choices. While aid agencies prioritize a shrinking list of countries, many governments deny that sex workers, men who have sex with men, drug users, and transgender people exist. Since no data is gathered about their needs, life-saving services are not funded, and the lack of data reinforces the denial. The Uncounted cracks open this and other data paradoxes through interviews with global health leaders and activists, ethnographic research, analysis of gaps in mathematical models, and the author's experience as an activist and senior official. It shows what is counted, what is not, and why empowering communities to gather their own data could be key to ending AIDS.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply collaborative, deeply creative process behind 24 unique data visualization projects, spanning 12 different topics. The book provides

The first complete book on enthalpies of solution, mixing, and dilution for polymer-liquid systems, this handbook is a ready companion to Christian Wohlfarth’s previously published handbooks of thermo

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply collaborative, deeply creative process behind 24 unique data visualization projects, spanning 12 different topics. The book provides

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

本書結合Python在數據分析領域的特點，介紹如何在數據平臺上集成使用Python。本書內容分為3大部分。第1部分(第1～3章)為搭建開發環境和導入測試數據；第2部分(第4～12章)為Python對HDFS、Hive、Pig、HBase、Spark的操作，主要是對常用API的說明；第3部分(第13～16章)是在前面章節的基礎上，介紹如何進行數據的分析、挖掘、可視化等內容。 本書不僅闡述了Pytho

全書共18章，前11章主要講解基礎知識。第1章介紹了什麼是量化投資，以及為什麼要用Python。第2章介紹了如何搭建基礎環境，介紹了常用的一些工具。第3章講解python的基本應用和常用的庫。第4章介紹python數據分析中常用的Numpy, Scipy, Pandas。第5章介紹數據分析的基礎方法。第6章介紹數據的可視化，使用matplotlib庫。第7章介紹基礎的金融分析方法。第8章介紹技術分

全書從Python程式語言切入，讓不懂Python的讀者也能快速上手。之後介紹處理數值最重要的套件包括NumPy和Pandas，接下來就是Python最重要的繪圖套件，包括matplotlib、Seaborn和plotnine的圖形語法，以及資料視覺化的顏色主題運用原理。在熟悉了工具之後，就進入本書的高潮，製作各式各樣的圖表，包括直條圖系列、橫條圖系列、南丁格爾玫瑰圖、徑向柱圖等圖表。還有資料關聯

本書分為3部分：第1部分是基礎篇，帶領初學者實踐Python開發環境和掌握基本語法，同時對網路通訊協定、Web用戶端技術、資料庫建模程式設計等網路程式設計基礎深入淺出地進行學習；第2部分是框架篇，學習當前最流行的Python Web框架，即Django、Tornado、Flask和Twisted，達到對各種Python網路技術融會貫通的目的；第3部分是實戰篇，分別對幾種常用WEB框架進行項目實踐，

《算法零基礎一本通(Python版)》使用 Python 指導讀者從零開始學習算法 ：由基礎數據結構開始，逐步解說信息安全算法，最後也講解了人工智能入門領域的 KNN 和 K-means 算法。《算法零基礎一本通(Python版)》包含約 120 個程序實例，使用約 600 張完整圖例，深入講解了 7 種數據結構和數十種算法，此外也針對國內外著名公司招聘程序員的算法考題做了講解。《算法零基礎一本通

The authors of Big Data with Hadoop MapReduce: A Classroom Approach have framed the book to facilitate understanding big data and MapReduce by visualizing the basic terminologies and concepts. They em

The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platform

本書以Python3.7為編程環境, 從基本的程序設計思想入手, 逐步展開Python語言教學, 是一本面向廣大編程學習者的程序設計類圖書。基礎篇主要講解Python的基礎語法知識、控制語句、函數、文件、面向對象編程基礎、Tkinter圖形界面設計、網絡編程和多線程、Python數據庫應用等知識, 並以小遊戲案例作為各章的階段性任務。提高篇介紹Python最流行的科學計算和可視化第三方庫, 最後講

本書以Python語言及其環境為工具，系統講解算法的概念、程序設計的基本思想以及常用的程序設計方法。主要內容包括：程序設計基礎知識與Python程序設計的基本方法；數據類型的概念及Python程序中的操作方法；算法的概念及應用；類和對象的概念及應用；用戶界面設計的一般方法和技能；數據文件、數據庫操作的一般方法。 本書注重程序設計理念的先進性、程序設計方法的實用性以及學習過程中的思維連貫性，精心選取

Python是一種結合瞭解釋性、編譯性、互動性的面向對象的計算機程序設計語言。由於具有簡單易學、功能強大等特點，Python是目前最流行的程序設計語言之一。本教材的前8章重點介紹了Python語言的程序設計基礎、基本數據結構、組合數據類型和函數方法，是學習其他擴展工具庫及其應用方法的前提，需要熟練掌握。從第9章開始，本教材主要介紹了Python的文件讀寫、文本處理、數據分析及數據可視化的技術和方法

本書介紹了機器學習技術及Python實踐的基礎知識，涵蓋了Python的機器學習基礎、數據預處理、機器學習算法及其實踐、深度學習、模型評價、機器學習應用等內容。其中第一篇為基礎入門篇，介紹人工智能、機器學習、大數據等概念及相互關係，機器學習的步驟，Python的Anaconda版本的安裝與使用，NumPy、Matplotlib、Seaborn、Pandas等常用模塊，以及數據文件訪問、數據統計。第

本书分为基础入门篇、基础入门篇、机器学习算法篇、机器学习应用篇、项目实战篇5篇，包括Python机器学习入门、设置机器学习的环境、Python机器学习基础等内容。

Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of

Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of

Forensic Science Handbooks, Third Edition has been fully updated and revised to include the latest developments in scientific testing, analysis, and interpretation of forensic evidence.

Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable

本書系統地描述了如何利用Python語言進行數據分析。由淺入深的編寫方式可以幫助讀者輕鬆愉快地進入數據的世界。 全書從理論到實踐、從基礎語法到科學計算庫，循序漸進地講解了Python數據分析所需要學習的技能。搭配項目實戰幫助讀者更好、更快地掌握Python數據分析知識點。此外，還全面介紹了數據分析的必知必會技能。 本書提供代碼資源下載服務，每章均配有重要知識點串講視頻。 本書不僅適合零基礎喜

產品特色： ‧透過HaloCode單板微電腦的操作，以有趣的動手體驗，藉由MicroPython指令的設計與實踐，學習Python程式程式設計的觀念與技巧。 ‧以對mBlock環境的介紹作為切入點，在連接HaloCode後利用Python設計控制程式創造出有趣的效果。 ‧在有趣的範例中逐步學習Python實用的語法，精練程式技巧以製作出更有趣的實作範例。

Python × Network一拍即合：自動化、程式化和DevOps的一站式解決方案 Mastering Python Networking - Third Edition 基礎設施中的網路（Networks）是應用程式部署、維護和服務的基石。Python則是網路工程師探索自動化領域的理想語言。如果你是沒有程式設計基礎的網路工程師，或者你是想要了解網路管理的開發人員，本書將一步步帶領你使用Pyt

本書以Python語言為工具，將Python語言相關的知識點進行拆解和組裝，與科幻故事結合起來，從奧爾特星雲一直向太陽系核心進發，直到抵達地球。由淺入深，由單一到綜合，依次介紹了Python基本語法，第三方庫的使用，Python界面應用開發，圖像處理基礎知識，類和面向對象程序設計，文件操作，圖表繪製，線程的使用，異常處理等知識，最後用太陽系運行模型、Office接口程序設計、古詩詞網絡爬蟲和計算機