Modeling and Simulation in Python (Paperback)
暫譯: Python中的建模與模擬（平裝本）
Kinser, Jason M.
- 出版商: CRC
- 出版日期: 2024-05-27
- 售價: $2,280
- 貴賓價: 9.5 折 $2,166
- 語言: 英文
- 頁數: 332
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032128704
- ISBN-13: 9781032128702
-
相關分類:
Python、程式語言
-
其他版本:
Modeling and Simulation in Python
立即出貨 (庫存=1)
買這商品的人也買了...
-
Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings (Lecture Notes in Computer Science)$2,420$2,299 -
Exploring Zynq MPSoC: With PYNQ and Machine Learning Applications (Paperback)$2,940$2,793 -
Python 自動化的樂趣｜搞定重複瑣碎&單調無聊的工作, 2/e (Automate the Boring Stuff with Python : Practical Programming for Total Beginners, 2/e)$680$537 -
圖解AI｜機器學習和深度學習的技術與原理$450$356 -
Python 功力提升的樂趣｜寫出乾淨程式碼的最佳實務 (Beyond the Basic Stuff with Python)$500$350 -
理解演算法｜Python 初學者的深度歷險 (Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner)$400$280 -
Python 幫幫忙！用程式思維解決現實世界問題 (Real-World Python: A Hacker's Guide to Solving Problems with Code)$630$497 -
機器學習：貝葉斯和優化方法, 2/e (Machine Learning : A Bayesian and Optimization Perspective, 2/e)$1,674$1,590 -
Clean Architecture 無瑕的程式碼－整潔的軟體設計與架構篇 + 實作篇－在整潔的架構上弄髒你的手 (雙書合購)$1,080$820 -
Real Python 人氣站長教你動手寫程式 - 不說教也能心領神會的引導式實作課 (Python Basics: A Practical Introduction to Python 3, 4/e)$750$592 -
$1,302Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges (Paperback) -
Python 精解實例 - PySide 6/PyQt 6 強大開發親身體驗$1,280$1,011 -
AI 時代 Math 元年 - 用 Python 全精通數學要素$980$686 -
完全圖解人工智慧：零基礎也OK！從NLP、圖像辨識到生成模型，現代人必修的53堂AI課$480$379 -
MySQL 資料庫開發的樂趣 (MySQL Crash Course: A Hands-on Introduction to Database Development)$580$458 -
跟 NVIDIA 學深度學習！從基本神經網路到 ......、GPT、BERT...，紮穩機器視覺與大型語言模型 (LLM) 的建模基礎$880$695 -
微積分學習要訣, 24/e (適用: 研究所．轉學考．大專用書)$980$931 -
Modern Discrete Probability: An Essential Toolkit (Hardocver)$1,860$1,823 -
AI 時代 Math 元年 : 用 Python 全精通矩陣及線性代數$1,280$1,011 -
LLM 大型語言模型的絕世祕笈：27路獨步劍法，帶你闖蕩生成式 AI 的五湖四海 （iThome鐵人賽系列書）$650$507 -
Python 建模與模擬｜科學家與工程師的入門指南$580$458 -
Bayesian Models of Cognition: Reverse Engineering the Mind$4,780$4,541 -
Quantum Machine Learning: A Modern Approach$4,270$4,057 -
讓 AI 好好說話！從頭打造 LLM (大型語言模型) 實戰秘笈$680$537 -
生成式 AI 入門 – 揭開 LLM 潘朵拉的秘密 : 語言建模、訓練微調、隱私風險、合成媒體、認知作戰、社交工程、人機關係、AI Agent、OpenAI、DeepSeek (Introduction to Generative AI)$580$458
商品描述
The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline.
Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess.
Key Features:
- Several theories and applications are provided, each with working Python scripts.
- All Python functions written for this book are archived on GitHub.
Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource.
商品描述(中文翻譯)
使用 Python 作為強大的計算工具的應用正在迅速擴展。Python 是一種易於使用的語言，其工具庫提供了高效的多功能性。隨著工具的不斷擴展，使用者可以創建有洞察力的模型和模擬。雖然這些工具提供了一種簡單的方法來建立流程管道，但這些構建並不保證能提供正確的結果。在建立模擬時，許多事情可能會出錯，甚至是狡詐的錯誤。使用者需要了解的不僅僅是如何建立一個流程管道。
《Python中的建模與模擬》介紹了在各種科學和工程學科中使用的基本計算建模技術。它強調了使用不同計算環境的算法思維技能，並包括一些有趣的例子，包括莎士比亞、電影數據庫、病毒擴散和國際象棋。
主要特點：
- 提供幾個理論和應用，每個都有可運行的 Python 腳本。
- 本書中為此編寫的所有 Python 函數都已存檔於 GitHub。
讀者不必是 Python 專家，但需要具備該語言的基本知識。希望了解建模和模擬基礎的學生會發現這是一本教育性和基礎性的資源。
作者簡介
Jason M. Kinser is Chair of the Department of Computational and Data Sciences at George Mason University. Dr. Kinser has taught more than 30 different courses at Mason in several departments including Computational & Data Sciences, Physics, Bioinformatics, Forensics, and even Biology. His research interests include analysis of images, fusion of image content non-image data, and education.
作者簡介(中文翻譯)
Jason M. Kinser 是喬治梅森大學計算與數據科學系的系主任。Kinser 博士在梅森大學教授過超過 30 門不同的課程，涵蓋計算與數據科學、物理學、生物資訊學、法醫學，甚至生物學等多個系所。他的研究興趣包括圖像分析、圖像內容與非圖像數據的融合，以及教育。
