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This repository contains the material (notebooks, data) for the pandas tutorial at EuroScipy 2015.
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This repository contains the material (notebooks, data) for the pandas tutorial at EuroScipy 2016. For previous versions of the tutorial (EuroScipy 2015), see the [releases page](https://github.com/jorisvandenbossche/pandas-tutorial/releases).
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## Requirements to run this tutorial
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To follow this tutorial you need to have the following packages installed:
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- Python version 2.6-2.7 or 3.3-3.4
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- Python version 2.6-2.7 or 3.3-3.5
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-`pandas` version 0.15.2 or later: http://pandas.pydata.org/
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-`numpy` version 1.7 or later: http://www.numpy.org/
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-`matplotlib` version 1.3 or later: http://matplotlib.org/
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-`ipython` version 3.x with notebook support, or `ipython 4.x` combined with `jupyter`: http://ipython.org
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-`seaborn` (this is used for some plotting, but not necessary to follow the tutorial): http://stanford.edu/~mwaskom/software/seaborn/
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I recommend to use the [conda](https://store.continuum.io/) environment manager to install all the requirements
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I recommend to use the [conda](http://conda.pydata.org/docs/intro.html) environment manager to install all the requirements
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(you can install [miniconda](http://conda.pydata.org/miniconda.html) or install the (very large) Anaconda software
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distribution, found at http://continuum.io/downloads).
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@@ -31,26 +30,26 @@ as you have the above packages installed.
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If you have git installed, you can get the material in this tutorial by cloning this repo:
I will probably make some changes until the start of the tutorial, so best to download
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the latest version then (or do a `git pull` if you are using git).
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Two data files are not included in the repo, you can downloead them from: [`titles.csv`](https://drive.google.com/file/d/0B3G70MlBnCgKa0U4WFdWdGdVOFU/view?usp=sharing) and [`cast.csv`](https://drive.google.com/file/d/0B3G70MlBnCgKRzRmTWdQTUdjNnM/view?usp=sharing) and put them in the `/data` folder.
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Two data files are not included in the repo, you can download them from: [`titles.csv`](https://drive.google.com/file/d/0B3G70MlBnCgKa0U4WFdWdGdVOFU/view?usp=sharing) and [`cast.csv`](https://drive.google.com/file/d/0B3G70MlBnCgKRzRmTWdQTUdjNnM/view?usp=sharing) and put them in the `/data` folder.
-[02 - Data structures](http://nbviewer.ipython.org/github/jorisvandenbossche/2015-EuroScipy-pandas-tutorial/blob/master/02%20-%20Data%20structures.ipynb)
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-[03 - Indexing and selecting data](http://nbviewer.ipython.org/github/jorisvandenbossche/2015-EuroScipy-pandas-tutorial/blob/master/03%20-%20Indexing%20and%20selecting%20data.ipynb)
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-[03b - Some more advanced indexing](http://nbviewer.ipython.org/github/jorisvandenbossche/2015-EuroScipy-pandas-tutorial/blob/master/03b%20-%20Some%20more%20advanced%20indexing.ipynb)
-[05 - Time series data](http://nbviewer.ipython.org/github/jorisvandenbossche/2015-EuroScipy-pandas-tutorial/blob/master/05%20-%20Time%20series%20data.ipynb)
-[02 - Data structures](http://nbviewer.ipython.org/github/jorisvandenbossche/pandas-tutorial/blob/master/02%20-%20Data%20structures.ipynb)
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-[03 - Indexing and selecting data](http://nbviewer.ipython.org/github/jorisvandenbossche/pandas-tutorial/blob/master/03%20-%20Indexing%20and%20selecting%20data.ipynb)
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-[03b - Some more advanced indexing](http://nbviewer.ipython.org/github/jorisvandenbossche/pandas-tutorial/blob/master/03b%20-%20Some%20more%20advanced%20indexing.ipynb)
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