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《Python 数据分析》第三版
book

《Python 数据分析》第三版

by Wes McKinney
May 2025
Intermediate to advanced
582 pages
8h 8m
Chinese
O'Reilly Media, Inc.

Overview

本作品已使用人工智能进行翻译。欢迎您提供反馈和意见:translation-feedback@oreilly.com

获取在 Python 中操作、处理、清理和处理数据集的权威手册。该实践指南已更新至 Python 3.10 和 pandas 1.4,第三版内容丰富,包含许多实际案例,向您展示如何有效解决各种数据分析问题。在此过程中,您将学习 pandas、NumPy 和 Jupyter 的最新版本。

本书由 Python pandas 项目的创建者 Wes McKinney 撰写,是一本关于 Python 数据科学工具的实用、现代的入门书。对于刚接触 Python 的分析师以及刚接触数据科学和科学计算的 Python 程序员来说,这是一本理想的参考书。数据文件和相关资料可在 GitHub 上获得。

  • 使用 Jupyter 笔记本和 IPython 终端进行探索性计算
  • 学习 NumPy 的基本和高级功能
  • 开始使用 pandas 库中的数据分析工具
  • 使用灵活工具加载、清理、转换、合并和重塑数据
  • 使用matplotlib创建信息丰富的可视化图表
  • 应用 pandas 的分组功能对数据集进行切片、分组和汇总
  • 分析和处理规则和不规则的时间序列数据
  • 通过详细的示例学习如何解决实际数据分析问题
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Publisher Resources

ISBN: 9798341656734