This repository contains the material (notebooks, data) for the pandas tutorial. Tutorial derived from Joris Van den Bossche: releases page and from this tutorial.

If you have a laptop, I would suggest to go to section 2 and install the software on your laptop, otherwise from the computer in the classroom please follow section 1.

1. Log in with your account.
2. Download and extract this file https://github.com/AlessandroChecco/pandas-tutorial/archive/master.zip.
3. Copy the just extracted folder "pandas-tutorial" in drive U:
4. From the start menu execute Jupyter Notebook

1. Install conda environment manager to install all the requirements (you can install miniconda or install the (very large) Anaconda software distribution, found at http://continuum.io/downloads).
2. The following command will install all required packages in your Python environment: conda install pandas jupyter seaborn
3. Git clone this repository, or alternatively download and extract this file https://github.com/AlessandroChecco/pandas-tutorial/archive/master.zip.

If you want to use other environment: you will need to install jupyter. To follow this tutorial you need to have the following packages installed:

• Python version 2.6-2.7 or 3.3-3.5
• pandas version 0.18.0 or later: http://pandas.pydata.org/ (previous versions will work for most examples as well)
• numpy version 1.7 or later: http://www.numpy.org/
• matplotlib version 1.3 or later: http://matplotlib.org/
• ipython version 3.x with notebook support, or ipython 4.x combined with jupyter: http://ipython.org
• seaborn (this is used for some plotting, but not necessary to follow the tutorial): http://stanford.edu/~mwaskom/software/seaborn/

Try to click here

1. Install CoLaboratory and upload there the main files. It requires google drive.
2. Download and extract this file https://github.com/AlessandroChecco/pandas-tutorial/archive/master.zip.

Try JupyterHub and upload there the alternative version of the notebooks:

1. New/Terminal
2. Execute wget https://github.com/AlessandroChecco/pandas-tutorial/archive/master.zip
3. Execute unzip master.zip
4. Close the tab
5. Click on pandas-tutorial folder and launch JupyterHub notebooks (ipynb files marked with jupyterhub name).

If nothing else works you can still look at the documents. To view the content on nbviewer:

1. Introduction
2. Basics
3. Indexing and Groupby
4. Time series