Python Data Analytics: With Pandas, NumPy, and Matplotlib
暫譯: Python 數據分析：使用 Pandas、NumPy 和 Matplotlib

Fabio Nelli

Python Data Analytics: With Pandas, NumPy, and Matplotlib

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商品描述

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. 
 
This revision is fully updated with new content on social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation
 

Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data.

 
What You'll Learn
  • Understand the core concepts of data analysis and the Python ecosystem
  • Go in depth with pandas for reading, writing, and processing data
  • Use tools and techniques for data visualization and image analysis
  • Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Who This Book Is For
 
Experienced Python developers who need to learn about Pythonic tools for data analysis

商品描述(中文翻譯)

探索最新的 Python 工具和技術，幫助您應對數據獲取和分析的世界。您將回顧使用 NumPy 進行科學計算、使用 matplotlib 進行可視化，以及使用 scikit-learn 進行機器學習。

本次修訂已全面更新，新增社交媒體數據分析、使用 OpenCV 進行圖像分析和深度學習庫的內容。每一章都包含多個示例，演示如何使用每個庫。其核心是對 pandas 的介紹，提供高效能、易於使用的數據結構和數據操作工具。

作者 Fabio Nelli 精通使用 Python 進行數據處理、管理和信息檢索。後面的章節將您所學的應用於手寫識別和使用 JavaScript D3 庫擴展圖形功能。無論您處理的是銷售數據、投資數據、醫療數據、網頁使用情況或其他數據集，Python Data Analytics, Second Edition 都是一本寶貴的參考書，提供了存儲、訪問和分析數據的示例。

您將學到的內容


  • 理解數據分析的核心概念和 Python 生態系統

  • 深入了解 pandas 的數據讀取、寫入和處理

  • 使用工具和技術進行數據可視化和圖像分析

  • 檢視流行的深度學習庫 Keras、Theano、TensorFlow 和 PyTorch

本書適合誰閱讀

有經驗的 Python 開發者，需學習用於數據分析的 Pythonic 工具。

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