利用Python进行数据分析（原书第2版） Paperback – January 1, 2018
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US$11.60
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Free shipping
Free 30-day returns
Sold and shipped by kimfoods.cr
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| Management number | 220496424 | Release Date | 2026/05/03 | List Price | US$11.60 | Model Number | 220496424 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
阅读本书可以获得一份关于在Python下操作、处理、清洗、规整数据集的完整说明。本书第二版针对Python 3.6进行了更新，并增加实际案例向你展示如何高效地解决一系列数据分析问题。你将在阅读过程中学习到*版本的pandas、NumPy、IPython和Jupyter。本书由Wes McKinney创作，他是Python pandas项目的创始人。本书是对Python数据科学工具的实操化、现代化的介绍，非常适合刚学Python的数据分析师或刚学数据科学以及科学计算的Python编程者。数据文件和相关的材料可以在GitHub上找到：l 使用IPython shell和Jupyter notebook进行探索性计算l 学习NumPy(Numerical Python)的基础和高级特性l 入门pandas库中的数据分析工具l 使用灵活工具对数据进行载入、清洗、变换、合并和重塑l 使用matplotlib创建富含信息的可视化l 将pandas的groupby功能应用于对数据集的切片、分块和汇总l 分析并操作规则和不规则的时间序列数据利用完整的、详细的示例学习如何解决现实中数据分析问题 Read more
| ISBN10 | 7111603702 |
|---|---|
| ISBN13 | 978-7111603702 |
| Edition | 0 |
| Language | Chinese |
| Publisher | 机械工业出版社 |
| Item Weight | 1.62 pounds |
| Publication date | January 1, 2018 |
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