THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE) pdf epub mobi txt 電子書 下載 2025

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圖書標籤:

• Python
• 編程
• 計算機科學
• 算法
• 數據結構
• 練習
• 第3版
• GE
• 入門
• 教材

For courses in Python Programming

　　Introduces Python programming with an emphasis on problem-solving

　　Now in its Third Edition, Practice of Computing Using Python continues to introduce both majors and non-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++.

　　Focusing on data manipulation and analysis as a theme, the text allows students to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasize program development and provide both majors and non-majors with a practical foundation in programming that will be useful in their respective fields. Among other changes, the Third Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.

　　MyProgrammingLabot included. Students, if MyProgrammingLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyProgrammingLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

　　MyProgrammingLab is an online learning system designed to engage students and improve results. MyProgrammingLab consists of a set of programming exercises correlated to specific Pearson CS1/Intro to Programming textbooks. Through practice exercises and immediate, personalized feedback, MyProgrammingLab improves the programming competence of beginning students who often struggle with the basic concepts of programming languages.

本書特色

　　About the Book

　　●NEW! A switch to Anaconda distribution, made freely available from Continuum Analytics, includes more than 100 pre-installed modules, removing the need for package installation.

　　●NEW! Fully adopted SPYDER Integrated Development Environment as a default method for editing and debugging code in the text. A truly modern IDE, Spyder has the advantages of including an integrated editor, associated interactive console, integrated debugging, integrated variable explorer, and integrated documentation viewer. Chapter 1 has been rewritten to incorporate the SPYDER IDE.

　　●NEW! Anaconda also includes the iPython console, a more capable console, with features including:
　　○An interactive history list
　　○Help on functions and variables using the “?” syntax
　　○Command line completion

　　●UPDATED! iPython console incorporated in every session with its features sprinkled throughout the text.

　　●NEW! “What’s wrong with my code” element has been added to several chapters to address the challenge of debugging.

　　●UPDATED! “Visual Vignettes” have been updated and simplified.

　　●NEW! Simple GUI development is included in several chapters, as well as a new appendix on web-based GUIs in response to student interest.

　　●NEW! 80 new end-of-chapter exercises are included.

　　●UPDATED! Chapter 16 provides discussion about Python Numbers and the various representations that are available.

　　●REVISED! Chapter 5 has been rewritten to not depend on Chapter 4, allowing instructors to choose the order in which they introduce concepts of strings and functions.

　　●Problem solving and case studies are emphasized throughout the text, including in 3 optional chapters (3, 10, and 13) that use examples to show mistakes and how to recover from them.

　　●Real-world, gender-neutral examples and exercisesencourage students to use Python to sort, apply, graph, and convert data. Examples include poker hands, the Gettysburg Address, EPA mileage data, breast cancer classifier, speech analysis, political debates, and S&P 500 analysis.

　　●An “object-use-first” approach is taken, with the authors using objects and methods early, while leaving the design and implementation of objects for later in the text, once mastery of the use of objects has been achieved.

　　●A traditional CS1 order with some significant differences, including:
　　○Strings are covered early (before functions) to allow for more data manipulation early in the text.
　　○File I/O is covered early for the same reason as strings.
　　○Topics such as plotting and drawing are included throughout the text in service of the data manipulation theme.

　　●Incorporates data structures as early as possible, including lists and strings, which show up before they are covered in detail.
　
　　●Drawing and graphing packages are incorporated and covered in the appendices.

　　●Over 180 code examples illustrate piecemeal development of larger problems.

　　●Almost 250 interactive sessions are provided to illustrate programming and problem-solving concepts.

　　●Over 275 short exercises and nearly 30 longer programming projects, many with multiple parts, are included.

　　●24 self-check exercises are embedded within the chapters, each with 5 or more associated questions.

　　●Over 40 notes provide useful programming tips and are boxed for emphasis. 

　　MyProgrammingLab™not included. Students, if MyProgrammingLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID.
MyProgrammingLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

　　MyProgrammingLab is an online learning system designed to engage students and improve results. MyProgrammingLab consists of a set of programming exercises correlated to specific Pearson CS1/Intro to Programming textbooks. Through practice exercises and immediate, personalized feedback, MyProgrammingLab improves the programming competence of beginning students who often struggle with the basic concepts of programming languages.

　　●Interactive Practice provides first-hand programming experience in an interactive online environment.

　　●Error Messages for Incorrect Answers give students immediate personalized feedback. The error messages include both the feedback from the compiler and plain English interpretations of likely causes for the incorrect answer.

　　●Step-by-step VideoNote Tutorials enhance the programming concepts presented in your Pearson textbook by allowing students to view the entire problem-solving process outside of the classroom—when they need help the most.

　　●Pearson eText gives students access to their textbook anytime, anywhere. In addition to note taking, highlighting, and bookmarking, the Pearson eText offers interactive and sharing features. Rich media options let students watch lecture and example videos as they read or do their homework. Instructors can share their comments or highlights, and students can add their own, creating a tight community of learners in your class.

　　●The Pearson eText companion app allows existing subscribers to access their titles on an iPad or Android tablet for either online or offline viewing.

　　●Dynamic grading and assessment provide auto-grading of student assignments, saving you time and offering students immediate learning opportunities:

　　●A dynamic roster tracks their performance and maintains a record of submissions.

　　●The color-coded gradebook gives you a quick glance of your classes' progress. Easily drill down to receive information on a single student's performance or a specific problem. Gradebook results can be exported to Excel to use with your LMS. 

I. Thinking About Computing
Ch0: The Study of Computer Science

II. Starting to Program
Ch1: Beginnings
Ch2: Control
Ch3: Algorithms and Program Development

III. Data Structures and Functions
Ch4: Working with Strings
Ch5: Functions-QuickStart
Ch6: Files and Exceptions I
Ch7: Lists and Tuples
Ch8: More on Functions
Ch9: Dictionaries and Sets
Ch10: More Program Development

IV. Classes, making your own Data Structure and Algorithms
Ch12: More on Classes
Ch13: Program Development with Classes

V. Being a better programmer
Ch14: Files and Exceptions II
Ch15: Recursion: Another Control Mechanism
Ch16: Other Fun Stuff with Python
Ch17: The End, or Perhaps the Beginning

评分☆☆☆☆☆

坦白說，《THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE)》這本書，我是在PTT上的工程師版看到有人推薦纔入手的，沒想到真的讓我驚為天人！我本身在颱灣科技業工作，雖然不是直接寫程式，但需要和程式團隊溝通，瞭解他們的工作流程和一些基本概念。這本書就像是一個非常好的橋樑。它對於電腦科學的一些核心概念，例如計算思維、演算法的效率分析、資料的錶示方式等等，都有非常清晰且具體地介紹。它不是那種隻專注於Python語法的書，而是更宏觀地去探討「如何運用程式去解決問題」。書中的圖解和範例都做得相當到位，即使是對程式比較陌生的讀者，也能夠理解其中的邏輯。我特別欣賞它在探討不同演算法時，會比較它們的時間和空間複雜度，這讓我在和工程師溝通時，能夠更深入地理解他們在做決策時考量的點。這本書讓我對程式設計的理解，從「寫程式」昇華到「思考程式」，非常有啟發性。

评分☆☆☆☆☆

我是一個來自颱灣的大學生，最近因為科係的關係開始接觸程式設計，而《THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE)》這本書，真的是我學習Python以來最棒的夥伴！它完全顛覆瞭我對程式書的刻闆印象，不再是枯燥乏味、隻有程式碼的教科書。書中的每一章節都像是在跟我對話，用很生活化的語言解釋那些聽起來很難的觀念。我特別喜歡它結閤瞭許多小專案的練習，讓我能夠在學習知識的同時，立刻動手實作，看到學習成果。比如說，它教瞭如何處理文字檔案，馬上就有練習讓我去分析一篇新聞報導；教瞭如何製作簡單的圖形介麵，馬上就有練習讓我做齣一個計算機。這種「邊學邊做」的模式，讓學習過程一點都不會覺得無聊，而且成就感滿滿。而且，書中對於程式除錯的技巧也講解得非常仔細，我以前寫程式最頭痛的就是齣現錯誤，但學瞭書中的方法，現在比較不怕瞭，知道怎麼去一步一步找齣問題。這本書真的讓我覺得程式設計變得有趣且可行。

评分☆☆☆☆☆

身為一個在颱灣的軟體工程師，我對《THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE)》這本書的評價絕對是五顆星！我已經寫瞭幾年的Python程式瞭，但閱讀這本書依然讓我獲益匪淺。它並不是一本停留在基礎語法的書，而是深入探討瞭許多進階的主題，例如效能優化、並行處理、網路程式設計等等。書中的內容非常緊密結閤實際的工程實踐，很多我過去在工作中遇到的難題，在這本書裡都能找到清晰的解答和最佳實踐。作者們在解釋複雜概念時，總是能舉齣貼切的例子，讓我能夠融會貫通。我尤其喜歡書中對於程式碼風格和架構設計的討論，這對於寫齣易於維護和擴展的程式碼至關重要。它不像坊間很多書隻提供程式碼範例，而是更著重於「為什麼」以及「如何做得更好」。閱讀這本書的過程中，我常常會停下來反思自己過去的寫法，並思考如何將書中的技巧應用到我的日常工作中。這本書絕對是任何想要在Python領域深入發展的開發者必備的參考書。

评分☆☆☆☆☆

哇，這本《THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE)》真是讓人驚豔！我是一個在颱灣的學生，最近在學習程式設計，這本書對我來說簡直是救星。它的內容安排得非常紮實，不是那種隻教你皮毛的入門書。作者們很懂學生的痛點，從最基礎的觀念開始，循序漸進地建立起讀者的邏輯思維。尤其是關於資料結構和演算法的部分，真的寫得非常透徹。我以前總覺得這些東西很抽象，看瞭很多其他書都似懂非懂，但這本卻能用很貼近實際應用情境的方式去解釋，讓我茅塞頓開。書中的範例程式碼也很完整，而且不會過於簡化，能夠讓你真正理解每一步的邏輯。我最喜歡的一點是，它不隻教你「怎麼做」，更會探討「為什麼要這麼做」，這對於培養解決問題的能力非常有幫助。很多時候，我會把書中的練習題當成挑戰，花時間去思考不同的解法，然後對照書中的說明，感覺自己的程式設計功力真的在穩步提升。而且，它對於Python 3的特性和最佳實踐都有很好的涵蓋，對於想學習最新Python知識的學生來說，絕對是物超所值。

评分☆☆☆☆☆

說真的，《THE PRACTICE OF COMPUTING USING PYTHON 3/E (GE)》這本書，光看封麵就覺得很有質感，內容更是沒話說。我平常工作上偶爾會接觸到一些程式方麵的東西，但總覺得自己底子不夠紮實，每次遇到問題都隻能上網大海撈針，效率很差。這本Python書正好填補瞭我的這個缺口。它對於軟體開發的整個流程，從需求分析、設計、實作到測試，都有相當程度的介紹。我特別欣賞書中對於物件導嚮程式設計（OOP）的講解，非常清晰易懂，而且結閤瞭許多實際的軟體開發案例，讓我能更深刻地理解抽象的概念。書中對於錯誤處理和偵錯技巧的說明也相當實用，我以前寫程式最怕的就是齣現bug，但學瞭書中的方法，現在能夠更有效地找齣問題所在，並且快速修復。另外，它還提到瞭版本控製係統（例如Git），這對任何一個想要認真學習程式開發的人來說，都是非常重要的技能。雖然我不是全職的程式設計師，但透過這本書，我感覺自己對程式的掌握度提升瞭不少，工作上的效率也明顯有所改善。