Python for Data Analysis
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Y...
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| 主要作者: | |
|---|---|
| 格式: | 图书 |
| 语言: | 英语 |
| 出版: |
Mumbai
Shroff Publication
2022
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| 版: | 3rd ed. |
| 主题: | |
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| 245 | |a Python for Data Analysis | ||
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| 260 | |a Mumbai |b Shroff Publication |c 2022 | ||
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| 500 | |a Data Wrangling with Pandas, NumPy, and Jupyter | ||
| 520 | |a Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. | ||
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