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Copy file name to clipboardExpand all lines: README.md
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@@ -9,11 +9,25 @@ Since pandas is a large library with many different specialist features and func
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The exercises are loosely divided in sections. Each section has a difficulty rating; these ratings are subjective, of course, but should be a seen as a rough guide as to how elaborate a solution is required.
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The official documentation for pandas is very useful and very extensive. Good places get a broader overview of pandas are
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| Section Name | Description | Difficulty |
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| ------------- | ------------- | ------------- |
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| Importing pandas | Getting started and checking your pandas setup | Easy |
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| DataFrame basics | A few of the fundamental routines for selecting, sorting, adding and aggregating data in DataFrames | Easy |
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| DataFrames: beyond the basics | Slightly trickier: you may need to combine two or more methods to get the right answer | Medium |
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| DataFrames: harder problems | These might require a bit of thinking outside the box... | Hard |
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| Series and DatetimeIndex | Exercises for creating and manipulating Series with datetime data | Easy/Medium |
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| Cleaning Data | Making a DataFrame easier to work with | Easy/Medium |
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| Using MultiIndexes | Go beyond flat DataFrames with additional index levels | Medium |
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| Minesweeper | Generate the numbers for safe squares in a Minesweeper grid | Hard |
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The official documentation for pandas is very useful and very extensive. Good places get a broader overview of pandas are:
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-[10 minutes to pandas](http://pandas.pydata.org/pandas-docs/version/0.17.0/10min.html)
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