NumPy and Pandas for 1D Data
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01. Introduction
02. Gapminder Data
03. One-Dimensional Data in NumPy and Pandas
04. NumPy Arrays
05. Vectorized Operations
06. Multiplying by a Scalar
07. Calculate Overall Completion Rate
08. Standardizing Data
09. NumPy Index Arrays
10. + vs. +=
11. In-Place vs. Not In-Place
12. Pandas Series
13. Series Indexes
14. Vectorized Operations and Series Indexes
15. Filling Missing Values
16. Pandas Series apply()
17. Plotting in Pandas
18. Conclusion
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11. In-Place vs. Not In-Place
In-Place vs. Not In-Place
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