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| 1 | +title: pandas Example Projects and Code |
| 2 | +category: page |
| 3 | +slug: pandas-code-examples |
| 4 | +sortorder: 500090001 |
| 5 | +toc: False |
| 6 | +sidebartitle: pandas Example Code |
| 7 | +meta: Python example projects and code that show how to use the pandas data analysis library. |
| 8 | + |
| 9 | + |
| 10 | +## Projects with pandas Example Code |
| 11 | +The following active projects use the [pandas](/pandas.html) data analysis |
| 12 | +library in various ways that can show you how to inspect your own data sets |
| 13 | +and build your own applications. |
| 14 | + |
| 15 | + |
| 16 | +### 100-pandas-puzzles |
| 17 | +[100 pandas puzzles](https://github.com/ajcr/100-pandas-puzzles) is a project with |
| 18 | +100 exercises that test knowledge of pandas' functionality. The project contains two |
| 19 | +[Jupyter Notebooks](/jupyter-notebook.html), one with |
| 20 | +[just the puzzles](https://github.com/ajcr/100-pandas-puzzles/blob/master/100-pandas-puzzles.ipynb) |
| 21 | +and the other with |
| 22 | +[both puzzles and solutions](https://github.com/ajcr/100-pandas-puzzles/blob/master/100-pandas-puzzles-with-solutions.ipynb). |
| 23 | + |
| 24 | +The project is provided as open source under the |
| 25 | +[MIT license](https://github.com/ajcr/100-pandas-puzzles/blob/master/LICENSE). |
| 26 | + |
| 27 | + |
| 28 | +### data-science-ipython-notebooks |
| 29 | +[data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) |
| 30 | +is a collection of Jupyter Notebooks including a folder with |
| 31 | +[pandas code examples](https://github.com/donnemartin/data-science-ipython-notebooks/tree/master/pandas). |
| 32 | + |
| 33 | +These notebooks are provided as open source under the |
| 34 | +[Apache 2.0 license](https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/LICENSE). |
| 35 | + |
| 36 | + |
| 37 | +### pandas-videos |
| 38 | +[Python pandas Q&A video series](https://github.com/justmarkham/pandas-videos) contains the |
| 39 | +Python code that pairs with |
| 40 | +[Kevin Markham's video series on data analysis with pandas](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y). |
| 41 | +The repository contains several Jupyter Notebooks, including ones on |
| 42 | +[the top pandas tricks](https://github.com/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb), |
| 43 | +[merging DataFrames](https://github.com/justmarkham/pandas-videos/blob/master/pandas_merge.ipynb), |
| 44 | +and |
| 45 | +[using MultiIndex](https://github.com/justmarkham/pandas-videos/blob/master/pandas_multiindex.ipynb). |
| 46 | + |
| 47 | + |
| 48 | +### ved-explore |
| 49 | +[ved-explore](https://github.com/joaofig/ved-explore) is a set of open source |
| 50 | +Jupyter Notebooks that demonstrate analysis of the |
| 51 | +[Vehicle Energy Dataset (VED)](https://arxiv.org/abs/1905.02081). The project |
| 52 | +is provided as open source under the |
| 53 | +[MIT license](https://github.com/joaofig/ved-explore/blob/master/LICENSE). |
| 54 | + |
| 55 | + |
| 56 | +### viz |
| 57 | +[viz](https://github.com/donnemartin/viz) |
| 58 | +([project site](https://donnemartin.com/viz/)) |
| 59 | +is a collection of interactive Jupyter Notebooks that show metrics |
| 60 | +about open source Git repositories stored on GitHub. The code is open source |
| 61 | +under the |
| 62 | +[Apache 2.0 license](https://github.com/donnemartin/viz/blob/master/LICENSE.md). |
| 63 | + |
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