125 lines
4.0 KiB
Plaintext
125 lines
4.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<CENTER>\n",
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" <header>\n",
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" <h1>Pandas Tutorial</h1>\n",
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" <h3>EuroScipy, Erlangen DE, August 24th, 2016</h3>\n",
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" <h2>Joris Van den Bossche</h2>\n",
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" <p></p>\n",
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"Source: <a href=\"https://github.com/jorisvandenbossche/pandas-tutorial\">https://github.com/jorisvandenbossche/pandas-tutorial</a>\n",
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" </header>\n",
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"</CENTER>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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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."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Requirements to run this tutorial"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"To follow this tutorial you need to have the following packages installed:\n",
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"\n",
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"- Python version 2.6-2.7 or 3.3-3.5\n",
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"- `pandas` version 0.18.0 or later: http://pandas.pydata.org/\n",
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"- `numpy` version 1.7 or later: http://www.numpy.org/\n",
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"- `matplotlib` version 1.3 or later: http://matplotlib.org/\n",
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"- `ipython` version 3.x with notebook support, or `ipython 4.x` combined with `jupyter`: http://ipython.org\n",
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"- `seaborn` (this is used for some plotting, but not necessary to follow the tutorial): http://stanford.edu/~mwaskom/software/seaborn/\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Downloading the tutorial materials"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"If you have git installed, you can get the material in this tutorial by cloning this repo:\n",
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"\n",
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" git clone https://github.com/jorisvandenbossche/pandas-tutorial.git\n",
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"\n",
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"As an alternative, you can download it as a zip file:\n",
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"https://github.com/jorisvandenbossche/pandas-tutorial/archive/master.zip.\n",
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"I will probably make some changes until the start of the tutorial, so best to download\n",
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"the latest version then (or do a `git pull` if you are using git).\n",
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"\n",
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"Two data files are not included in the repo, you can download them from: [`titles.csv`](https://drive.google.com/open?id=0B3G70MlBnCgKajNMa1pfSzN6Q3M) and [`cast.csv`](https://drive.google.com/open?id=0B3G70MlBnCgKal9UYTJSR2ZhSW8) and put them in the `/data` folder."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Contents\n",
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"\n",
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"Beginners track:\n",
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"\n",
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"- [01 - Introduction - beginners.ipynb](01 - Introduction - beginners.ipynb)\n",
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"- [02 - Data structures](02 - Data structures.ipynb)\n",
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"- [03 - Indexing and selecting data](03 - Indexing and selecting data.ipynb)\n",
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"- [04 - Groupby operations](04 - Groupby operations.ipynb)\n",
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"\n",
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"Advanced track:\n",
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"\n",
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"- [03b - Some more advanced indexing](03b - Some more advanced indexing.ipynb)\n",
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"- [04b - Advanced groupby operations](04b - Advanced groupby operations.ipynb)\n",
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"- [05 - Time series data](05 - Time series data.ipynb)\n",
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"- [06 - Reshaping data](06 - Reshaping data.ipynb)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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}
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"nbformat": 4,
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"nbformat_minor": 0
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