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19 | 19 | **pandas** is a Python package that provides fast, flexible, and expressive data
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20 | 20 | structures designed to make working with "relational" or "labeled" data both
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21 | 21 | easy and intuitive. It aims to be the fundamental high-level building block for
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22 |
| -doing practical, **real world** data analysis in Python. Additionally, it has |
| 22 | +doing practical, **real-world** data analysis in Python. Additionally, it has |
23 | 23 | the broader goal of becoming **the most powerful and flexible open source data
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24 | 24 | analysis / manipulation tool available in any language**. It is already well on
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25 | 25 | its way towards this goal.
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@@ -64,7 +64,7 @@ Here are just a few of the things that pandas does well:
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64 | 64 | data sets
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65 | 65 | - [**Hierarchical**][mi] labeling of axes (possible to have multiple
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66 | 66 | labels per tick)
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67 |
| - - Robust IO tools for loading data from [**flat files**][flat-files] |
| 67 | + - Robust I/O tools for loading data from [**flat files**][flat-files] |
68 | 68 | (CSV and delimited), [**Excel files**][excel], [**databases**][db],
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69 | 69 | and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]
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70 | 70 | - [**Time series**][timeseries]-specific functionality: date range
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@@ -155,7 +155,7 @@ has been under active development since then.
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155 | 155 |
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156 | 156 | ## Getting Help
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157 | 157 |
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158 |
| -For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pandas). |
| 158 | +For usage questions, the best place to go to is [Stack Overflow](https://stackoverflow.com/questions/tagged/pandas). |
159 | 159 | Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
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160 | 160 |
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161 | 161 | ## Discussion and Development
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