Think Complexity pdf epub mobi txt 電子書下載2025

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出版者:O'Reilly Media

作者:Allen B. Downey

出品人:

頁數:160

译者:

出版時間:2012-3-12

價格:USD 39.99

裝幀:Paperback

isbn號碼:9781449314637

叢書系列:

圖書標籤:

Python
Complexity
算法
復雜係統
計算機科學
計算機
algorithm
O'Reilly
復雜係統
網絡科學
湧現行為
非綫性動力學
係統思維
模型構建
計算思維
自組織
混沌理論
人工智能

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具體描述

Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide. Whether you're an intermediate-level Python programmer, or a student of computational modeling, you'll examine data structures, complexity science, and other fascinating topics through a series of exercises, easy-to-understand explanations, and case studies. Think Complexity presents features that make Python such a simple and powerful language. Author Allen Downey provides code to help you get started, along with a solution for each exercise. With this book, you will: Work with graphs and graph algorithms, NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables. Discover complexity science, the field that studies abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines. Explore the philosophy of science through the models and results in this book about the nature of scientific laws, theory choice, and realism and instrumentalism, and more.

著者簡介

Allen B. Downey擁有加州大學伯剋利分校的計算機科學博土學位和MIT的碩士與學土學位，現任美國歐林工程學院計算機科學係的教授，曾經在威爾斯利大學、科爾比學院和加州大學伯剋利分校教授計算機科學相關的課程。曾經擔任 Google的訪問科學傢，對復雜性科學和Python十分著迷，有較為深入的研究和豐富的實踐經驗。

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評分☆☆☆☆☆

一本可以作为系统论、还原论等认知哲学的导读读物，看似薄薄的一本，拿到手还说定价这么高亏了，结果一读才知里面别有洞天。本书本身就是一个复杂性科学模型的范本——避免跨域细节，只讲所涉及问题域的知识点，干净利落。作者以python为基础，演示了多种复杂系统的模型，...

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来源：Think Complexity 译者：飞龙版本：2.5 自豪地采用谷歌翻译在线阅读 PDF格式 EPUB格式 MOBI格式代码仓库赞助我协议 CC BY-NC-SA 4.0 KivyCN 学习资源 Kivy 中文文档 Think Python 中文第二版 UCB CS61a 教材：SICP Python Tutorialspoint NumPy 教程 Matplotlib 用...

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Think Complexity – Complexity Science and Computational Modeling Posted by Mike under Books Think Complexity by Allen Downey is written for someone in an intermediate college level class. It has examples of Python code and talks about algorithms a lot. ...

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