Think Complexity : Complexity Science and Computational Modeling, 2/e (Paperback)
暫譯: 思考複雜性：複雜科學與計算模型，第2版（平裝本）

Allen Downey

Think Complexity : Complexity Science and Computational Modeling, 2/e (Paperback)

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商品描述

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.

Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations.

In this updated second edition, you will:

  • Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform
  • Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
  • Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata
  • Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism

Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

商品描述(中文翻譯)


複雜性科學利用計算來探索物理和社會科學。在Think Complexity中，您將使用圖形、細胞自動機和基於代理的模型來研究物理學、生物學和經濟學的主題。

無論您是中級的Python程式設計師還是計算建模的學生，您都將通過一系列的實作範例、練習、案例研究和易於理解的解釋深入探討複雜系統的例子。

在這個更新的第二版中，您將：


  • 使用NumPy陣列和SciPy方法，包括基本的信號處理和快速傅立葉變換（Fast Fourier Transform）

  • 研究複雜物理系統的抽象模型，包括冪律、分形、粉紅噪聲和圖靈機

  • 獲得填滿啟動程式碼和解決方案的Jupyter筆記本，以幫助您重新實現和擴展複雜性中的原始實驗；以及計算模型，如Turmites、圖靈機和細胞自動機

  • 探索科學哲學，包括科學法則的本質、理論選擇，以及現實主義和工具主義

作為Python計算建模課程的理想教材，Think Complexity也幫助自學者獲得他們可能不會接觸到的主題和想法的寶貴經驗。


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