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@@ -41,23 +41,20 @@ By the end of the chapter, readers will be able to do the following:
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- Define what series and data frames are in Python, and describe how they relate to
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each other.
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- Describe the common types of data in Python and their uses.
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- Recall and use the following functions for their
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intended data wrangling tasks:
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- `agg`
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- `assign` (as well as regular column assignment)
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- `groupby`
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- Use the following functions for their intended data wrangling tasks:
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- `melt`
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- `pivot`
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- `reset_index`
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- `str.split`
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- Recall and use the following operators for their
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intended data wrangling tasks:
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- `==`, `!=`, `<`, `>`, `<=`, `>=`
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- `in`
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- `and`
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- `or`
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- `[]`
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- `loc[]`
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- `iloc[]`
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- `agg`
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- `assign` and regular column assignment
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- `groupby`
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- `merge`
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- Use the following operators for their intended data wrangling tasks:
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- `==`, `!=`, `<`, `>`, `<=`, and `>=`
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- `isin`
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- `&` and `|`
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- `[]`, `loc[]`, and `iloc[]`
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## Data frames and series
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