July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Further reading
The following are some interesting links from the pandas documentation:
- Styling DataFrames: https://pandas.pydata.org/pandas-docs/stable/style.html
- The pandas ecosystem: https://pandas.pydata.org/pandas-docs/stable/ecosystem.html
Those with an R and/or SQL background may find it helpful to see how the pandas syntax compares:
- Comparison with R / R Libraries: https://pandas.pydata.org/pandas-docs/stable/comparison_with_r.html
- Comparison with SQL: https://pandas.pydata.org/pandas-docs/stable/comparison_with_sql.html
- SQL Queries: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
Some resources for learning more about regular expressions are as follows:
- Mastering Python Regular Expressions by Félix ...
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