Python Data Science Handbook

本書共分為四個部分，前兩部分介紹了Python開發實戰的基礎知識及編程技巧，後兩部分則在機器學習算法基礎上通過對實際應用案例的介紹和分析，使讀者獲得機器學習算法應用的項目經驗。第一部分探討了Python程序開發過程中涉及的幾個主要方面，第二部分展示了Python的一些高級編程技巧，第三部分介紹了機器學習的基礎知識背景，第四部分通過對實際機器學習案例深入淺出的剖析，介紹Python機器學習建模過程。

本書以案例驅動的方式講解機器學習算法的知識點，並以Python語言作為基礎開發語言實現算法，包括目前機器學習主流算法的原理、算法流程圖、算法的詳細設計步驟、算法實例、算法應用、算法的改進與優化等環節。全書共分 17 章，前兩章介紹機器學習與 Python 語言的相關基礎知識，後面各章以案例的方式分別介紹線性回歸算法、邏輯回歸算法、K *近鄰算法、PCA 降維算法、k-means算法、支持向量機算法

本書以Python程序設計語言為主要內容，重點強調程序設計概念的理解和計算思維的實踐。內容包括：Python語言的介紹和快速入門、數學與數值計算編程、字符串和文件操作、函數理解、分支與循環結構、類與對象、列表結構和數據采集、圖形編程以及面向過程、面向對象編程方法和算法設計與實踐等。

Python與AI編程，主要是講解Python編程基礎和人工智能算法的編程案例，分上下冊，上冊分為：第一章，膠水語言――初識Python；第二章，描述世界-數據類型；第三章，流程管理-程序結構；第四章，分工協作-函數模塊；第五章，生命個體-面向對象。本書著重于培養學生對人工智能的正確認知，幫助青少年瞭解AI技術的應用場景，體驗AI技術給人帶來的獲得感。

本書以Python 3.5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的語法基礎、控制語句、函數與模塊、文件、面向對象程序設計、Tkinter圖形界面設計、數據庫應用、網絡編程和多線程等知識，並以小遊戲案例作為各章的階段性任務。開發篇綜合應用前面介紹的技術，開發經典的大家耳熟能詳的連連看、推箱子等遊戲案例。

本書以零基礎講解為宗旨，旨在幫助讀者掌握 Python 語言的基礎知識，以及如何使用Python 語言實現編程，瞭解其開發技巧，並通過實戰案例熟悉開發過程及問題的解決方法。 全書共分 13 章，大致分為 4 部分：第 1～4 章介紹 Python 簡介及環境搭建、 Python 基礎和面向對象的編程知識；第 5～7 章介紹讀寫文件、自帶電池模塊及系統編程的知識；第 8～11章介紹網絡編程、收發電

From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in wh

本書從解決工作實際問題出發，提煉總結工作中Python 常用的數據處理、數據分析實戰方法與技巧。本書力求通俗易懂地介紹相關知識，在不影響學習理解的前提下，盡可能地避免使用晦澀難懂的Python 編程、統計術語或模型公式。本書定位是帶領Python 數據分析初學者入門，並能解決學習、工作中大部分的問題或需求。入門後如還需要進一步進階學習，可自行擴展閱讀相關書籍或資料，學習是永無止境的，正所謂“師傅領

《Python+TensorFlow機器學習實戰》通過開發實例和項目案例，詳細介紹TensorFlow開發所涉及的主要內容。書中的每個知識點都通過實例進行通俗易懂的講解，便於讀者輕鬆掌握有關TensorFlow開發的內容和技巧，並能夠得心應手地使用TensorFlow進行開發。《Python+TensorFlow機器學習實戰》內容共分為11章，首先介紹TensorFlow的基本知識，通過實例逐步深

小甲魚暢銷圖書重磅升級，針對Python 3.7，通過生動的實例，讓讀者在實踐中理解概念，在輕鬆、愉快中學會Python！本書前半部分首先講解基礎的Python 3語法知識，包括列表、元組、字符串、字典以及各種語句；之後循序漸進地介紹一些相對高級的主題，包括抽象、異常、魔法方法以及屬性迭代器。後半部分則圍繞著Python 3在爬蟲、界面開發和遊戲開發上的應用，通過實例引導讀者進行深入學習和探究。

《Python趣味編程：從入門到人工智能》是專門為青少年編寫的零基礎Python語言編程入門教材，由淺入深、循序漸進地講授Python語言編程知識，以解決問題為導向，培養青少年的編程思維。本書採用單元課程的形式編排內容，分為編程基礎、數學與算法、遊戲編程、人工智能四個單元，採用符合青少年認知水平的趣味案例進行教學，指導青少年使用編程的思維方式解決身邊的問題，帶領青少年邁進Python編程的奇妙世界。 本書是零起步教材，適合廣大青少年和所有對編程感興趣的初學者閱讀，也適合作為學校編程社團和編程培訓機構的教材。

產品特色：1.以簡單清楚的語法教學，配合多元的實例，累積實力往高手邁進。2.本書設計許多精采有趣的範例程式，幫助讀者熟悉程式技巧，是一本關於Python的模組與第三方套件應用的最佳書籍。3.精心設計近100題的實作範例，帶你進入Python精采世界。

What is a focus group? Why do we use them? When should we use them? When should we not? Focus Groups for the Social Science Researcher provides a step-by-step guide to undertaking focus groups, whether as a stand-alone method or alongside other qualitative or quantitative methods. It recognizes the challenges that focus groups encounter and provides tips to address them. The book highlights three unique, inter-related characteristics of focus groups. First, they are inherently social in form. Second, the data emerge organically through conversation; they are emic in nature. Finally, focus groups generate data at three levels of analysis: the individual, group, and interactive level. The book builds from these three characteristics to explain when focus groups can usefully be employed in different research designs. This is an essential text for students and researchers looking for a concise and accessible introduction to this important approach to data collection.

What is a focus group? Why do we use them? When should we use them? When should we not? Focus Groups for the Social Science Researcher provides a step-by-step guide to undertaking focus groups, whether as a stand-alone method or alongside other qualitative or quantitative methods. It recognizes the challenges that focus groups encounter and provides tips to address them. The book highlights three unique, inter-related characteristics of focus groups. First, they are inherently social in form. Second, the data emerge organically through conversation; they are emic in nature. Finally, focus groups generate data at three levels of analysis: the individual, group, and interactive level. The book builds from these three characteristics to explain when focus groups can usefully be employed in different research designs. This is an essential text for students and researchers looking for a concise and accessible introduction to this important approach to data collection.

Bring together the Python programming language and Microsoft’s PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams

This volume will assist readers in fitting big data analysis into their service-based organizations.Volume I of this two-volume series focuses on the role of big data in service delivery systems. It d

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduc

This open access book focuses on trends in educational inequality using twenty years of grade 8 student data collected from 13 education systems by the IEA’s Trends in Mathematics and Science Study (T

This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data finding

通過“拆解式”講解Python全棧開發全過程，本書集理論、技術、案例、項目開發經驗為一體，通過海量示例展示開發過程中的重點、疑點、難點，是一本寶典式大全教程。全棧工程師，也稱為全端工程師(同時具備前端和後臺能力)，是指掌握多種技能，並能利用多種技能獨立完成產品的人。Python全棧工程師，是指在精通Python編程語言的前提下，對於其他上下游的技術也有足夠的瞭解和掌握。本書上下游的技術涉及數據傳輸

本書以全國計算機等級考試二級Python語言程序設計考試大綱為依據，系統地介紹Python 3.x程序設計基礎知識。全書共14章，內容包括Python語言概述、基本數據類型、組合數據類型、順序與選擇結構、循環結構、函數與模塊、文件與數據組織、面向對象程序設計、使用tkinter的GUI設計、圖形繪製、爬蟲與正則表達式、SQLite數據庫、異常處理和Python計算生態。附錄給出了全國計算機等級考試

本書使用大量的matplotlib實用案例講解Python數據可視化在各個應用方向上的實現方法。通過學習這些實用案例，讀者可以更好地掌握Python數據可視化的高級技能。本書主要由圖形、元素、交互、探索和拓展5部分組成，每部分的實用案例都有利於拓展matplotlib的應用視野，而且案例中的示例代碼只涉及Python的基礎知識。這樣，在Python數據可視化的實踐中，有利於讀者將時間和精力放在系統

本書基於面向 Python 的 OpenCV(OpenCV for Python)，介紹了圖像處理的方方面面。本書以 OpenCV 官方文檔的知識脈絡為主線，並對細節進行補充和說明。 書中不僅介紹了 OpenCV 函數的使用方法，還介紹了函數實現的算法原理。在介紹 OpenCV 函數的 使用方法時，提供了大量的程序示例。而且在介紹函數對圖像的處理前，往往先展示函數對數值、數組 的處理，方便讀者從數

全書共10章。第1章介紹Python開發環境的搭建、簡單使用和Python代碼規範；第2章講解Python內置對象與運算符的使用；第3章講解列表、元組、列表推導式與生成器表達式以及切片和序列解包的用法；第4章講解字典應用；第5章講解集合應用；第6章講解字符串與正則表達式的應用；第7章講解選擇結構與循環結構語法和應用；第8章講解函數設計與應用；第9章講解文本文件操作、二進制文件操作、Office文檔操作以及文件夾操作；第10章講解如何使用Python擴展庫numpy和pandas處理數據。

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Lo

This Handbook reviews a wealth of research in cognitive and educational psychology that investigates how to enhance learning and instruction to aid students struggling to learn and to advise teachers on how best to support student learning. The Handbook includes features that inform readers about how to improve instruction and student achievement based on scientific evidence across different domains, including science, mathematics, reading and writing. Each chapter supplies a description of the learning goal, a balanced presentation of the current evidence about the efficacy of various approaches to obtaining that learning goal, and a discussion of important future directions for research in this area. It is the ideal resource for researchers continuing their study of this field or for those only now beginning to explore how to improve student achievement.

This Handbook reviews a wealth of research in cognitive and educational psychology that investigates how to enhance learning and instruction to aid students struggling to learn and to advise teachers on how best to support student learning. The Handbook includes features that inform readers about how to improve instruction and student achievement based on scientific evidence across different domains, including science, mathematics, reading and writing. Each chapter supplies a description of the learning goal, a balanced presentation of the current evidence about the efficacy of various approaches to obtaining that learning goal, and a discussion of important future directions for research in this area. It is the ideal resource for researchers continuing their study of this field or for those only now beginning to explore how to improve student achievement.

Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps

Data has become a social and political issue because of its capacity to reconfigure relationships between states, subjects, and citizens. This book explores how data has acquired such an important cap

本書以淺顯易懂的語言和循序漸進的方式介紹Python語言的各個核心知識點：程序設計語言中基礎的算法；設置和安裝Python語言的運行環境；Python語言的各個基本語法，包括數據類型、變量與常數、表達式與運算符、流程控制、字符與字符串、函數、高級數據類型等；程序設計中更實用的主題，包括遞歸函數、排序算法、lambda表達式、開放數據、模塊與程序包、文件與數據流、錯誤與異常處理、面向對象程序設計及G

Python簡單易學又功能強大，而且免費開源，在國內外的很多公司得到了廣泛的應用。在科學計算、遊戲、圖像、人工智能、機器人、教育教學和航天飛機控制等很多領域，Python也是非常重要的編程工具。 本書有大量的Python程序實例，包括繪製一些有趣的圖形，解決一些常見的數學問題，爬取網絡的信息，以及設計簡單的交互性遊戲。在程序實例的講解中，介紹Python編程的基礎知識。 本書提供的編程實例，讀

本書以初學者為中心，全面介紹了使用Python進行程序開發的各種技術。在內容排列上由淺入深，逐漸深入，最後通過6個項目進行實戰演練。全書共分20章，主要包括：搭建Python開發環境、踏上Python開發之旅、流程控制語句、列表、元組和字符串、字典的使用、函數，面向對象的程序設計、模塊、異常處理、文件操作技術、使用Python操作數據庫、網絡編程、常用的GUI框架、網絡爬蟲框架、Flask Web

Python是目前非常受歡迎的程序設計語言，本書通過對Python語言使用最多的Django 2.0 Web Framework的介紹，讓讀者可以輕鬆製作出全功能的動態網站。 本書分4部分，以16堂課來介紹Python新手使用Django架站的要點。第一部分（第1～3堂）以一個小型的個人博客網站為主軸，介紹如何快速建立一個實用的Django網站；第二部分（第4～7堂）是Django架構深入剖析，詳

本書是一本從零開始、手把手教你運維的書籍，通過上百個實際運維場景案例，幫助讀者理解並掌握自動化運維。 本書分為三篇共11章，第一篇是基礎運維，介紹自動化運維、Python基礎、文本處理、日誌、FTP服務器、使用Python發郵件、微信等。通過本篇的學習，可以達到編寫Python程序來解決基礎運維問題的水平；第二篇是中級運維，介紹自動化運維工具（Ansible）、作業調度工具（APScheduler

The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational

本書是中國信息協會大數據分會副會長劉鵬教授組織編撰的“高級大數據人才培養叢書”之一。本書是一本全面的、從入門到實踐的Python編程教程，從帶領讀者快速掌握基本的Python編程知識開始，循序漸進、層層深入地引導讀者利用新學到的知識開發功能豐富的項目。本書首先介紹了Python基礎；接著介紹了數據類型、文件、程序調試、面向對象程序設計、連接數據源等基本知識；然後結合網絡爬蟲、數據挖掘、自然語言處理

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to

Can established humanities methods coexist with computational thinking? It is one of the major questions in humanities research today, as scholars increasingly adopt sophisticated data science for the