Mastering Python Data Visualization

Kirthi Raman

  • 出版商: Packt Publishing
  • 出版日期: 2015-10-27
  • 售價: $2,130
  • 貴賓價: 9.5$2,024
  • 語言: 英文
  • 頁數: 305
  • 裝訂: Paperback
  • ISBN: 1783988320
  • ISBN-13: 9781783988327
  • 相關分類: Python程式語言Data-visualization
  • 海外代購書籍(需單獨結帳)

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商品描述

About This Book Explore various tools and their strengths while building meaningful representations that can make it easier to understand data Packed with computational methods and algorithms in diverse fields of science Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop your existing Python knowledge, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed. What You Will Learn Gather, cleanse, access, and map data to a visual framework Recognize which visualization method is applicable and learn best practices for data visualization Get acquainted with reader-driven narratives, author-driven narratives, and the principles of perception Understand why Python is an effective tool for numerical computation much like MATLAB, and explore some interesting data structures that come with it Use various visualization techniques to explore how Python can be very useful for financial and statistical computations Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js Discover how Python can be used in conjunction with NoSQL, such as Hive, to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations that involve optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, the book covers the complete visualization process, using the most popular Python libraries with working examples. You will learn how to use NumPy, SciPy,

商品描述(中文翻譯)

關於本書 本書探索各種工具及其優勢,同時建立有意義的視覺化呈現,以便更容易理解數據。書中包含了在科學的不同領域中使用的計算方法和算法。本書以易於理解的分類風格撰寫,討論了一些專業技巧,可以使您的代碼更易於使用和重複使用。

本書適合對數據視覺化有興趣並希望擴展現有Python知識的Python開發人員。假設讀者具有基本的Python庫知識水平和理解能力。

您將學到什麼 學習如何收集、清理、訪問和映射數據到視覺框架中。了解應該使用哪種視覺化方法,並學習數據視覺化的最佳實踐。熟悉讀者驅動的敘事、作者驅動的敘事以及感知原則。了解為什麼Python是一個像MATLAB一樣有效的數值計算工具,並探索一些有趣的數據結構。使用各種視覺化技術,探索Python在金融和統計計算中的應用價值。使用Julia和基於JavaScript的框架(如D3.js)比較Python與其他視覺化方法。發現如何將Python與NoSQL(如Hive)結合使用,在分佈式環境中高效產生結果。

詳細內容 Python擁有一些開源庫,用於數值計算,包括優化、線性代數、積分、插值和其他特殊函數的使用,還有數組對象、機器學習、數據挖掘和繪圖。本書提供實用指南,幫助您進行有效的數據視覺化。從數據框架的章節開始,本書涵蓋了完整的視覺化過程,並使用最流行的Python庫進行實際示例。您將學習如何使用NumPy、SciPy,