Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
暫譯: 精通演算法與 Python：實用的問題解決與 Python 實作方法

Name: Mastering Algorithms with Python: A Practical Approach to Problem Solving and Python Implementation
Price: 1473 TWD
Availability: OnlineOnly
Author: Shi, Chenyang
ISBN: 9798868817984

Shi, Chenyang

出版商: Apress
出版日期: 2025-10-14
售價: $1,550
貴賓價: 9.5 折 $1,473
語言: 英文
頁數: 277
裝訂: Quality Paper - also called trade paper
ISBN: 9798868817984
ISBN-13: 9798868817984
相關分類: Algorithms-data-structures

海外代購書籍(需單獨結帳)

商品描述

Gain a solid understanding of algorithms and improve your problem-solving abilities using Python code. With practical examples and clear explanations, this book bridges the gap between dense academic texts and overly simple industry guides.

Focusing on the logic behind essential algorithms such as Breadth First Search (BFS), Depth First Search (DFS), Divide-and-Conquer, Greedy Methods, and Dynamic Programming, the book provides ample examples, from easy to more advanced. By connecting these concepts to real-world examples, such as chess strategies and the Seam Carving, the book helps readers better grasp and apply algorithms. Each chapter also includes fully implemented Python code, making it a practical reference.

Mastering Algorithms with Python is ideal for IT professionals looking to enhance their skills and approach algorithms with clarity and confidence.

What You Will Learn

Who This Book Is For

Software developers, data scientists, machine learning professionals and any curious learners about computer algorithms.

商品描述(中文翻譯)

獲得對演算法的深入理解，並利用 Python 代碼提升您的問題解決能力。本書透過實用的範例和清晰的解釋，彌補了密集的學術文本與過於簡單的行業指南之間的差距。

本書專注於基本演算法背後的邏輯，例如廣度優先搜尋 (Breadth First Search, BFS)、深度優先搜尋 (Depth First Search, DFS)、分治法 (Divide-and-Conquer)、貪心演算法 (Greedy Methods) 和動態規劃 (Dynamic Programming)，提供了從簡單到較為進階的豐富範例。透過將這些概念與現實世界的例子（如棋類策略和 Seam Carving）相連結，本書幫助讀者更好地理解和應用演算法。每一章節還包含完整實作的 Python 代碼，使其成為實用的參考資料。

《Mastering Algorithms with Python》非常適合希望提升技能並以清晰自信的方式接觸演算法的 IT 專業人士。

您將學到的內容：

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**本書適合誰閱讀**
軟體開發人員、資料科學家、機器學習專業人士以及任何對計算機演算法感到好奇的學習者。

作者簡介

Chenyang Shi is a Data Science manager at a leading consulting firm, specializing in applying machine learning and data science to enhance marketing and commercialization forecasting for major pharmaceutical clients. He earned his Ph.D. from Department of Applied Physics and Applied Mathematics at Columbia University (2015) and a Master's in Computer Science with a focus on Machine Learning from Georgia Institute of Technology (2020). With over a decade of Python programming experience, Chenyang is the lead author of two peer-reviewed software programs, JRgui (published at ACS Omega) and xINTERPDF (Journal of Applied Crystallography), comprising over 7,500 lines of Python code.

作者簡介(中文翻譯)

施晨揚是某領先顧問公司的數據科學經理，專注於應用機器學習和數據科學來提升主要製藥客戶的市場營銷和商業化預測。他於哥倫比亞大學的應用物理與應用數學系獲得博士學位（2015年），並在喬治亞理工學院獲得專注於機器學習的計算機科學碩士學位（2020年）。施晨揚擁有超過十年的Python程式設計經驗，是兩個經過同行評審的軟體程序的主要作者，分別是JRgui（發表於ACS Omega）和xINTERPDF（發表於應用結晶學期刊），這些程序包含超過7,500行的Python程式碼。