Python for Data Analysis: Difference between revisions
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This article is loosely based on [https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X/ Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition] by Wes McKinney. | This article is loosely based on [https://www.amazon.com/Python-Data-Analysis-Wrangling-Jupyter/dp/109810403X/ Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition] by Wes McKinney. | ||
The set of packages referred from this article focus on structured data, which includes tabular or spreadsheet-like data, in which each column may be a different type (relational database data, spreadsheets and CSV files), multidimensional arrays (matrices), multiple tables or related data joined by key columns, and evenly and unevenly spaced time series. | |||
Revision as of 22:48, 14 May 2024
External
- Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition by Wes McKinney
Internal
Overview
This article is loosely based on Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition by Wes McKinney.
The set of packages referred from this article focus on structured data, which includes tabular or spreadsheet-like data, in which each column may be a different type (relational database data, spreadsheets and CSV files), multidimensional arrays (matrices), multiple tables or related data joined by key columns, and evenly and unevenly spaced time series.