Mastering Python Design Patterns

《數據有道 : 數據分析 圖論與網絡 微課 Python編程》是“鳶尾花數學大系—從加減乘除到機器學習”叢書的第三板塊 ( 實踐板塊 ) 中的一本關于數據 科學的分冊。“實踐”這個板塊，我們將會把學到的編程、可視化， 特別是數學工具應用到具體的數據科學、 機器學習算法中，并在實踐中加深對這些工具的理解。《數據有道 : 數據分析 圖論與網絡 微課 Python編程》可以歸納為 7 大板塊—數據說、數據處理、時間數據、圖論基礎、圖的分析、圖與矩陣、圖論實踐。 這 7 個板塊 ( 共 25 章內容 ) 都緊緊圍繞一個主題—數據！《數據有道 : 數據分析 圖論與網絡 微課 Python編程》以數據為名，以好奇心和疑問為驅動，主動使用“編程 可視化 數學”工具進行探索。《數據有道 : 數據分析 圖論與網絡 微課 Python編程》將 會回顧鳶尾花書前五本主要的工具，讓大家對很多概念從似懂非懂變成如數家珍；同時，我們還會掌握更 多工具，用來擴展大家的知識網絡。依照慣例，《數據有道 : 數據分析 圖論與網絡 微課 Python編程》提供代碼和視頻教學。《數據有道 : 數據分析 圖論與網絡 微課 Python編程》讀者群包括數據科學從業者、大數據從業者、高級數據分析師、機器學習開發者、計算機圖形學 研究者等。

Python是一門開源的計算機編程語言，憑藉其易學、靈活等特點，得到了越來越多人的認可和青睞。金融科技日新月異，金融行業的數字化、科技化和智慧化快速推進，Python在金融領域有著很好的應用現狀和前景。本書在上一版的基礎上進行了內容升級，持續聚焦Python在金融分析與風險管理的應用，第2版從原先的12章擴充至15章，並依次劃分為基礎篇（共5章）、中階篇（共5章）以及高階篇（共5章），基礎篇結合金融場景演示了Python語言以及NumPy、pandas、Matplotlib、SciPy以及statsmodel等金融領域常用的第三方模塊的編程方法；中階篇通過Python編程結合金融實例，依次探討利率、匯率、債券、股票、互換合約、期貨合約等產品的定價、風險測度以及風險管控等內容；高階篇則融合Python與金融案例，探究了期權的定價、希臘字母、動態對沖、隱含波動率、交易策略及其他延伸知識點，此外，高階篇還涉及投資組合風險價值建模等具有較強技術性的內容。本書旨在通過更豐富的金融產品、更廣泛的量化模型、更完備的金融示例、更高的軟件版本，為讀者提供更加便捷的Python金融實戰體驗與解決方案。本書適合想要掌握Python應用的金融學習者、金融從業者閱讀，也適合想要轉行到金融領域的程序員以及對Python在金融領域的實踐應用感興趣的人士閱讀，並且不要求讀者具有Python編程基礎和金融基礎。

《機器學習: 全彩圖解微課Python編程》是「鳶尾花數學大系：從加減乘除到機器學習」叢書的最後一冊，前六本解決了編程、視覺化、數學、 數據方面的諸多問題，而《機器學習: 全彩圖解微課程Python編程》將開啟機器學習經典演算法的學習旅程。《機器學習: 全彩圖解微課程Python編程》設定了24 個主題，對應四大類機器學習經典演算法（迴歸、分類、降維、聚類），涵蓋演算法包括： 迴歸分析、多元線性迴歸、非線性迴歸、正規化迴歸、貝葉斯迴歸、高斯過程、k 最近鄰分類、樸素貝葉斯分類、高斯判別分析、支援向量機、核子技巧、決策樹、主成分分析、截斷奇異值分解、主成分分析進階、 主成分分析與迴歸、核主成分分析、典型相關分析、 k 均值聚類、高斯混合模型、最大期望演算法、層次聚類、 密度聚類、譜聚類。《機器學習：全彩圖解微課程Python編程》選取演算法模型的目標是涵蓋Scikit-Learn 函式庫的常用機器學習演算法函數，讓讀者充分理解演算法理論， 又能連結實際應用。因此，在學習《機器學習: 全彩圖解微課程Python程式設計》時，特別希望呼叫Scikit-Learn 各種函數來解決問題之餘，更要理解演算法背後的數學工具。因此，《機器學習: 全彩圖解微課程Python編程》給出適度的數學推導以及擴展閱讀。《機器學習: 全彩圖解微課程Python編程》提供程式碼範例和影片講解，「鳶尾花書」強調在JupyterLab 自主探究學習才能提升程式設計技能。本書配套微課也主要以配套Jupyter Notebooks 為核心，希望讀者邊看視頻，邊動手練習。《機器學習: 全彩圖解微課程Python編程》讀者群包括所有試圖用機器學習解決問題的朋友，特別適用於機器學習入門、初級程式設計師轉型、 高級資料分析師、機器學習進階。

《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》是“鳶尾花數學大系：從加減乘除到機器學習”叢書中編程板塊的第二冊。編程板塊第一冊《編程不難》著重介紹如何零基礎入門Python編程，《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》則在《編程不難》基礎之上深入探討如何用Python完成數學任務及板塊數據可視化。《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》是本系列中的一本真正意義上的“圖冊”。內容覆蓋科技製圖、計算機圖形學、創意編程、趣味數學實驗、數學科學、機器學習等。《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》“毫無節制”地展示數學之美，而且提供特別實用且容易複製的創作思路、做圖技巧、編程代碼。《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》包含8個板塊共36章內容。前5個板塊（共18章）專注於各種可視化手段，是可視化中的“術”；後3個板塊（共18章）選取了18個話題來展示數學之美，是可視化中的“藝”，閱讀這18章時，請關注每個可視化方案的創意思路、作圖技巧、數學工具。《可視之美:數據可視化+數學藝術+學術繪圖+Python創意編程》讀者群包括程序員、科技製圖開發者、高級數據分析師、機器學習開發者、創意編程開發者、計算機圖形學研究者。

本書為英文完整版，內容全面實用。本書介紹了Python的設計模式，提供了經過驗證的、可視化的、示例驅動的模式，包括工廠方法模式、抽象工廠模式、單例模式、生成器模式、原型模式、適配器模式、橋接模式、組合模式、裝飾器模式、外觀模式、享元模式、代理模式、責任鏈模式、命令模式、解釋器模式、迭代器模式、中介者模式、備忘錄模式、觀察者模式、狀態模式、策略模式、模板方法模式、訪問者模式等，從而使讀者可以編寫更加健壯、高效、易於維護的Python代碼，生成功能強大且靈活的程序。本書還介紹了Python中的變量和語法、判定語句、開發環境、集合和文件、函數等基礎知識。

本書將從多個角度為您提供最佳的數據預處理技術。您將學習數據預處理的不同技術和分析方面――數據收集、數據清理、數據集成、數據縮減和數據轉換――並掌握使用開源Python編程環境實現它們。這本書將全面闡述數據預處理，它的原因和如何，並幫助您識別分析機會，數據分析可以導致更有效的決策。它還演示了數據管理系統和有效分析技術的作用，以及如何創建查詢從關系數據庫中提取數據。閱讀完Python數據預處理後，您將能夠使用Python讀取、操作和分析數據，執行數據清理、集成、還原技術，並處理異常值或缺失值，以實現適當的數據轉換方法。

《細說Python編程：從入門到科學計算》以Python 3.x為平臺，由兩位博士執筆，詳盡細緻地闡述Python編程的基礎知識和高級技巧，並以大量示例代碼進行實踐，同時還介紹人工智能領域廣泛使用的科學計算工具NumPy。《細說Python編程：從入門到科學計算》分為兩篇，共19章。第1篇(第1～11章)為基礎知識，主要講解Python的編譯環境、入門知識、字符串、容器、函數、循環、條件選擇、模塊、類、類的特殊成員、文件；第2篇(第12～19章)為高級應用，包括異常處理、日期和時間、測試代碼、程序打包、使用數據庫、網絡編程、圖形用戶界面、科學計算等內容。全書知識點豐富，輔之以示例演示，讀者可以邊學邊練，快速掌握。《細說Python編程：從入門到科學計算》還提供了16小時共151節微課教學視頻，讀者掃碼即可觀看學習，免費提供的示例源碼文件可直接調用，方便上機操練。《細說Python編程：從入門到科學計算》深入淺出，內容新穎，涉及面廣，適合想要學習Python編程的各層次讀者。

Python最強入門 ChatGPT助攻 邁向數據科學之路 王者歸來 第4版(全彩印刷) ★★★★★【內容最多、範圍最廣】【39個主題】★★★★★ ★★★★★【程式實例最多】【1265個Python實例】★★★★★ ★★★★★【7大真實數據】+【機器學習專題實戰】★★★★★ ★★★★★【420個是非題、選擇題】【295個習題實作題】★★★★★ Python語言是基礎科學課程，撰寫這本書時採用下列原則。 1：強調Python語法內涵與精神。 2：用精彩程式實例解說。 3：科學與人工智慧知識融入內容。 4 : ChatGPT助攻 5：章節習題引導讀者複習與自我練習。 6 : 機器學習 - 真實數據 – 專題實戰 相較於第3版，第4版更增加Python深入解析、機器學習真實數據實戰，同時使用更細緻的實例，增加下列知識： ☆ 深度解析sort( )和sorted( ) ★ 徹底研究迭代器(iterator)、yield ☆ 波士頓房價專題 ★ 葡萄酒數據集專題 ☆ 鐵達尼號專題 ★ 糖尿病數據集專題 ☆ 乳癌數據集專題 ★ 手寫數字數據集專題 ☆ PCA主成份分析專題 ★ 其他修訂小細節超過100處 多次與教育界的朋友相聚，談到電腦語言的發展趨勢，大家一致公認Python已經是當今最重要的電腦語言了，幾乎所有知名公司，例如：Google、Facebook、…等皆已經將此語言列為必備電腦語言。了解許多人想學Python，市面上的書也不少了，但是許多人買了許多書，但是學習Python路上仍感障礙重重，原因是沒有選到好的書籍，市面上許多書籍的缺點是： ◎ Python語法講解不完整 ◎ 用C、C++、Java觀念撰寫實例 ◎ Python語法的精神與內涵未做說明 ◎ Python進階語法未做解說 ◎ 基礎實例太少，沒經驗的讀者無法舉一反三 ◎ 模組介紹不足，應用範圍有限 許多讀者因此買了一些書，讀完了，好像學會了，但到了網路看專家撰寫的程式往往看不懂。 就這樣我決定撰寫一本用豐富、實用、有趣實例完整且深入講解Python語法的入門書籍。其實這本書也是目前市面上講解Python書籍中語法最完整，當讀者學會Python後，本書將逐步帶領讀者邁

本書全面系統地介紹了Python語言在常見辦公場景中的自動化解決方案。全書分為5篇21章，內容包括Python語言基礎知識，Python讀寫數據常見方法，用Python自動操作Excel，用Python自動操作Word 與 PPT，用Python自動操作文件和文件夾、郵件、PDF 文件、圖片、視頻，用Python進行數據可視化分析及進行網頁交互，借助ChatGPT輕鬆進階Python辦公自動化。 本書適合各層次的信息工作者，既可作為初學Python的入門指南，又可作為中、高級自動化辦公用戶的參考手冊。書中大量的實例還適合讀者直接在工作中借鑒。

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

Python最強入門邁向頂尖高手之路 王者歸來 第二版 本書特色 本書第一版曾經榮登博客來、天瓏、Momo暢銷排行榜第一名 本書除了贈送全書1101個程式實例，所有是非與選擇題皆附有習題解答，實作題部分有約260多個程式實例則是贈送所有偶數題的解答，有了這些解答讀者可以自行驗證學習成果。 多次與教育界的朋友相聚，談到電腦語言的發展趨勢，大家一致公認Python已經是當今最重要的電腦語言了，幾乎所有知名公司，例如：Google、Facebook、…等皆已經將此語言列為必備電腦語言。了解許多人想學Python，市面上的書也不少了，許多人買了許多書，學習Python路上仍感障礙重重，原因是沒有選到好的書籍，市面上許多書籍的缺點是： 1：Python語法講解不完整，沒有建立Python紮實語法的觀念 2：用C、C++、Java觀念撰寫實例 3：Python語法的精神與內涵未做說明 4：Python進階語法未做解說 5：基礎實例太少，沒經驗的讀者無法舉一反三 6：模組介紹不足，應用範圍有限 許多讀者因此買了一些書，讀完了，好像學會了，但到了網路看專家撰寫的程式往往看不懂。就這樣我決定撰寫一本用豐富、實用、有趣實例完整且深入講解Python語法的入門書籍。其實這本書也是目前市面上講解Python書籍中語法最完整、應用範圍最廣、範例最豐富的書籍。整本書從Python風格說起，拋棄C、C++、Java思維，將Python語法、內涵與精神功能火力全開，完全融入矽谷頂尖Python工程師的邏輯與設計風格。 這是史上最多範例的Python書籍，有約1101個程式實例搭配約500個模組的函數，輔助約260個習題，外加126頁的習題電子書，用極深入、最詳細的態度講解Python語法的基礎與進階知識，例如：utf-8中文編碼、list、tuple、dict、set、bytes、bytearray、closure、lambda、Decorator、@property、@classmethod、@staticmathod…等。 此外，也將應用範圍擴充至下列應用： 人工智慧基礎知識融入章節內容 認識Python彩蛋 從bytes說起、編碼(encode)、解碼(decoding) 完整解說Unicode字符集和utf-8

Contributions by urban planners, sociologists, anthropologists, architects, and landscape architects on the role and scope of urban design in creating more just and inclusive cities.Scholars who write about justice and the city rarely consider the practices and processes of urban design, while discourses on urban design often neglect concerns about justice. The editors of Just Urban Design take the position that urban design interventions have direct and important implications for justice in the city. The contributions in this volume contextualize the state of knowledge about urban design for justice, stress inclusivity as the key to justice in the city, affirm community participation and organizing as cornerstones of greater equity, and assert that a just urban design must center and privilege our most marginalized individuals and communities. Approaching spatial and social justice in the city through the lens of urban design, the contributors explore the possibility of envisioning an

How ecological design emerged in Scandinavia during the 1960s and 1970s, building on both Scandinavia’s design culture and its environmental movement.Scandinavia is famous for its design culture, and for its pioneering efforts toward a sustainable future. In Ecological by Design, Kjetil Fallan shows how these two forces came together in the late 1960s and early 1970s, when Scandinavian designers began to question the endless cycle in which designed objects are produced, consumed, discarded, and replaced in quick succession. The emergence of ecological design in Scandinavia at the height of the popular environmental movement, Fallan suggests, illuminates a little-known reciprocity between environmentalism and design: not only did design play a role in the rise of modern environmentalism, but ecological thinking influenced the transformation in design culture in Scandinavia and beyond that began as the modernist faith in progress and prosperity waned. Fallan describes the efforts of Scan

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

NLTK是自然語言處理領域中非常受歡迎和廣泛使用的Python庫。NLTK的優點在於其簡單性，其中大多數複雜的自然語言處理任務使用幾行代碼即可完成。本書旨在講述如何用Python和NLTK解決各種自然語言處理任務並開發機器學習方面的應用。本書介紹了NLTK的基本模塊，講述了採用NLTK實現自然語言處理的大量技巧，討論了一些文本處理方法和語言處理技術，展示了使用Python實現NLP項目的大量實踐經驗。本書主要內容包括文本挖掘/NLP任務中所需的所有預處理步驟，如何使用Python 3的NLTK 3進行文本處理，如何通過Python開展NLP項目。本書適合NLP和機器學習領域的愛好者、Python程序員以及機器學習領域的研究人員閱讀。

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

★★★★★【33個主題】、【1200個Python實例】★★★★★ ★★★★★【1500個重點說明】★★★★★ ★★★★★【210個是非題】、【210個選擇題】、【291個實作題】★★★★★ Python語言是基礎科學課程，撰寫這本書時採用下列原則。 1：強調Python語法內涵與精神。 2：用精彩程式實例解說。 3：科學與人工智慧知識融入內容。 4：章節習題引導讀者複習與自我練習。 相較於第2版，第3版更加強數據科學與機器學習的內容，與相關模組的操作，同時使用更細緻的實例，增加下列知識： ★解說在Google Colab雲端開發環境執行 ☆解說使用Anaconda Spider環境執行 ★PEP 8，Python設計風格，易讀易懂 ☆Python語法精神、效能發揮極致 ★遞迴函數徹底解說 ☆f-strings輸出徹底解說 ★電影院訂位系統 ☆靜態與動態2D ~ 3D圖表 ★Numpy數學運算與3D繪圖原理 ☆Pandas操作CSV和Excel ★Sympy模組與符號運算 ☆機器學習、深度學習所需的數學與統計知識 ★線性迴歸 ☆機器學習 – scikit-learn ★KNN演算法、邏輯迴歸、線性與非線性支援向量機 ☆決策樹 ★隨機森林樹 ☆其他修訂小細節超過100處 多次與教育界的朋友相聚，談到電腦語言的發展趨勢，大家一致公認Python已經是當今最重要的電腦語言了，幾乎所有知名公司，例如：Google、Facebook、…等皆已經將此語言列為必備電腦語言。了解許多人想學Python，市面上的書也不少了，但是許多人買了許多書，但是學習Python路上仍感障礙重重，原因是沒有選到好的書籍，市面上許多書籍的缺點是： ◎Python語法講解不完整 ◎用C、C++、Java觀念撰寫實例 ◎Python語法的精神與內涵未做說明 ◎Python進階語法未做解說 ◎基礎實例太少，沒經驗的讀者無法舉一反三 ◎模組介紹不足，應用範圍有限 許多讀者因此買了一些書，讀完了，好像學會了，但到了網路看專家撰寫的程式往往看不懂。 就這樣我決定撰寫一本用豐富、實用、有趣實例完整且深入講解Python語法的入門書籍。其實這

Rethinking design through the lens of embodied cognition provides a novel way of understanding human interaction with technology. In this book, Christopher Baber uses embodied cognition as a lens through which to view both how designers engage in creative practices and how people use designed artifacts. This view of cognition as enactive, embedded, situated, or distributed, without recourse to internal representations, provides a theoretical grounding that makes possible a richer account of human interaction with technology. This understanding of everyday interactions with things in the world reveals opportunities for design to intervene. Moreover, Baber argues, design is an embodied activity in which the continual engagement between designers and their materials is at the heart of design practice. Baber proposes that design and creativity should be considered in dynamic, rather than discrete, terms and explores “task ecologies”―the concept of environment as it relates to embodied

想一次學會 Python 四大網頁框架嗎？本書幫助您掌握與應用 Python 3 及 Django、Tornado、Flask、Twisted！Python榮登2021年程式語言排行之首，被應用於開發各種應用程式，在網頁開發的世界也成為了當紅炸子雞。Python入門新手／擅於Web開發的老手都適合的選擇★ 從『Python基礎建立』到『Web Frameworks全面應用』本書作為Python入門到網頁框架實作開發的指南，凡是對Python與網頁設計開發有熱忱的讀者，本書是您再合適不過的選擇！全書皆以Python 3進行講解與實作，亦詳細說明網路通訊（TCP/IP、HTTP、Socket）、網頁前端設計（HTML、CSS、JavaScript）、資料庫與ORM，從基礎知識扎根；建立Python基本觀念之後，循序漸進說明最新穎的四大網頁框架――Django、Tornado、Flask、Twisted，最後針對每個網頁框架選出了最合適的網頁專案進行實作開發，包含社交網站、聊天室、資訊管理系統、物聯網訊息閘道等實際IS系統場景，讓讀者知悉並 go through 前端開發由概觀到細節的過程。本書特色◆ 真正零基礎學Python Web開發，保證誰都看得懂！◆ 網羅四大網頁框架：- 最穩定的老牌Django開發框架- 最高性能的Tornado開發框架- 小巧輕快的微框架Flask- 事件驅動的Twisted開發框架◆ 以Django / Tornado / Flask / Twisted實作開發：- Django + PostgreSQL開發Twitter系統- Tornado + jQuery開發WebSocket聊天室- Flask + Bootstrap + Restful開發資訊管理系統- Twisted + SQLAlchemy + ZeroMQ開發跨平台物聯網訊息閘道

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more.Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors.Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit te

How design can transcend the logics, structures, and subjectivities of capitalism: a framework, theoretical grounding, and practical principles.The designed things, experiences, and symbols that we use to perceive, understand, and perform our everyday lives are much more than just props. They directly shape how we live. In Design after Capitalism, Matthew Wizinsky argues that the world of industrial capitalism that gave birth to modern design has been dramatically transformed. Design today needs to reorient itself toward deliberate transitions of everyday politics, social relations, and economies. Looking at design through the lens of political economy, Wizinsky calls for the field to transcend the logics, structures, and subjectivities of capitalism―to combine design entrepreneurship with social empowerment in order to facilitate new ways of producing those things, symbols, and experiences that make up everyday life. After analyzing the parallel histories of capitalism and design, W

The power of transformative design, multidisciplinary leaps, and diversity: lessons from a Black professional’s journey through corporate America.Design offers so much more than an aesthetically pleasing logo or banner, a beautification add-on after the heavy lifting. In Reimagining Design, Kevin Bethune shows how design provides a unique angle on problem-solving―how it can be leveraged strategically to cultivate innovation and anchor multidisciplinary teamwork. As he does so, he describes his journey as a Black professional through corporate America, revealing the power of transformative design, multidisciplinary leaps, and diversity. Bethune, who began as an engineer at Westinghouse, moved on to Nike (where he designed Air Jordans), and now works as a sought-after consultant on design and innovation, shows how design can transform both individual lives and organizations. In Bethune’s account, diversity, equity, and inclusion emerge as a recurring theme. He shows how, as we leverage

數據可視化是將Python應用于大氣海洋科學中數據處理及分析過程的重要環節，它可以讓複雜晦澀的數據變得鮮活生動，從而更好地被理解。本書主要介紹幾個基於Python且各具特色的繪圖工具包，從安裝到使用，並列舉大量的代碼示例，為使用Python進行數據分析的用戶們提供詳細的參考。

Python是目前使用最多的編程語言之一，有眾多的擴展包用於不同領域的軟件開發，也是目前大數據分析、機器學習和人工智能的主要開發語言。ArcPy是美國ESRI公司推出的用於ArcGISDesktop產品二次開發的Python包，開發者可以通過ArcPy充分利用ArcGISDesktop強大的功能進行地理數據處理與分析的方法。本書介紹利用Python編程語言和ArcPy包進行地理數據處理與分析，由Python編程基礎、Python常用擴展包、ArcPy使用及綜合應用示例四個部分內容組成，涉及地理數據采集、處理、分析與製圖。

Through practices of collaborative imagination and making, or "doing design otherwise,” design experiments can contribute to keeping local democracies vibrant.In this counterpoint to the grand narratives of design punditry, Carl DiSalvo presents what he calls “doing design otherwise.” Arguing that democracy requires constant renewal and care, he shows how designers can supply novel contributions to local democracy by drawing together theory and practice, making and reflection. The relentless pursuit of innovation, uncritical embrace of the new and novel, and treatment of all things as design problems, says DiSalvo, can lead to cultural imperialism. In Design as Democratic Inquiry, he recounts a series of projects that exemplify engaged design in practice. These experiments in practice-based research are grounded in collaborations with communities and institutions. The projects DiSalvo describes took place from 2014 to 2019 in Atlanta. Rather than presume that government, industry―or

本書對Python的計算機編程進行了生動活潑、直觀易懂且引人入勝的入門介紹。這本書是專門為沒有或幾乎沒有編程經驗的生命科學家而寫的，其目的不僅是為他們提供Python編程的基礎，而且是讓他們有信心和能力開始在自己的研究中使用Python。本書的所有示例均來自廣泛的生命科學研究領域，包括生物信息學、結構生物學、發育生物學、進化生物學和生態學，從簡單的生化計算和序列分析到對細胞中基因和蛋白質的動態相互

《Python數學實驗與建模》以Python軟件為基礎,詳細介紹了數學建模的各種常用算法及其軟件實現,內容涉及高等數學、工程數學中的相關數學實驗、數學規劃、插值與擬合、微分方程、差分方程、評價預測、圖論模型、多元分析、MonteCarlo模擬、智能算法、時間序列分析、支持向量機、圖像處理等內容,既有對算法數學原理的詳述,又有案例和配套的Python程序.《Python數學實驗與建模》含有Pytho

本書詳盡而系統地介紹了Python語言程序設計的方方面面，通過大量的示例、偽代碼、流程圖和其他工具，使讀者更容易學習程序設計邏輯。本書清晰、簡明、友好的表述風格，可以讓讀者輕鬆掌握Python程序設計理論，快速投入實際開發中。

How patterns--from diagrams of spacetime to particle trails revealed by supercolliders--offer clues to the fundamental workings of the physical world.Our universe might appear chaotic, but deep down i

Grounded in nearly a century of scientific research, Mastering Self Control is an academic 'how to' in the mastery of self control. Though most of us have an acute awareness of the goals we want to achieve, we have little insight into how we respond to questions central to successful goal attainment. What is a realistic goal? Can we turn intentions to actions? Why do we need a support system? It is within this context that this volume identifies a series of actionable strategies to push readers to master self-control and consequently optimize goal progress.

Grounded in nearly a century of scientific research, Mastering Self Control is an academic 'how to' in the mastery of self control. Though most of us have an acute awareness of the goals we want to achieve, we have little insight into how we respond to questions central to successful goal attainment. What is a realistic goal? Can we turn intentions to actions? Why do we need a support system? It is within this context that this volume identifies a series of actionable strategies to push readers to master self-control and consequently optimize goal progress.

Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world’s most popular programming languages. The book emphasizes problem-solving strategies that

An accessible, visual, and creative approach to teaching Python programming using the software literacy-focused Processing development environment. Readers learn the foundations of programming as they

Get up to speed with the fundamentals of electronic sensor design with this comprehensive guide, and discover powerful techniques to reduce the overall design timeline for your specific applications. Includes a step-by-step introduction to a generalized information-centric approach for designing electronic sensors, demonstrating universally applicable practical approaches to speed up the design process. Features detailed coverage of all the tools necessary for effective characterization and organization of the design process, improving overall process efficiency. Provides a coherent and rigorous theoretical framework for understanding the fundamentals of sensor design, to encourage an intuitive understanding of sensor design requirements. Emphasising an integrated interdisciplinary approach throughout, this is an essential tool for professional engineers and graduate students keen to improve their understanding of cutting-edge electronic sensor design.

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

Fully-updated, second edition of this worldwide bestseller with over 100,000 copies sold. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most secu

Discover the history of design with this gorgeous visual celebration of key pieces, movements, and designers, from the Arts and Craft movement to the digital age. Arranged chronologically, Design trac

"An essential introduction to sustainable domestic design." -Dwell magazineHow to Achieve Style and SustainabilityGreen Interior Design is the most comprehensive guide to sustainable building, designi

Design culture foregrounds the relationships between the domains of design practice, design production and everyday life. Its focus is on contemporary designed objects and the networks between the mul