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19 | 19 | **pandas** is a Python package that provides fast, flexible, and expressive data |
20 | 20 | structures designed to make working with "relational" or "labeled" data both |
21 | 21 | easy and intuitive. It aims to be the fundamental high-level building block for |
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 |
24 | 24 | analysis / manipulation tool available in any language**. It is already well on |
25 | 25 | its way towards this goal. |
@@ -64,7 +64,7 @@ Here are just a few of the things that pandas does well: |
64 | 64 | data sets |
65 | 65 | - [**Hierarchical**][mi] labeling of axes (possible to have multiple |
66 | 66 | labels per tick) |
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], |
69 | 69 | and saving/loading data from the ultrafast [**HDF5 format**][hdfstore] |
70 | 70 | - [**Time series**][timeseries]-specific functionality: date range |
@@ -155,7 +155,7 @@ has been under active development since then. |
155 | 155 |
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156 | 156 | ## Getting Help |
157 | 157 |
|
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). |
160 | 160 |
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161 | 161 | ## Discussion and Development |
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