• Tom Augspurger, Anaconda, Inc.
• Joris Van den Bossche, Université Paris-Saclay Center for Data Science
• Dillon Niederhut, Enthought Inc.

If you don't already have a working python distribution, you may download one of

• Miniconda (https://conda.io/miniconda.html)
• Python.org (https://www.python.org/downloads/)

You'll need Python 3.

This GitHub repository is all that is needed in terms of tutorial content. The simplest solution is to download the material using this link:

https://github.com/deniederhut/Pandas-Tutorial-SciPyConf-2018/archive/master.zip

If you're familiar with Git, you can also clone this repository with:

$ git clone [email protected]:deniederhut/Pandas-Tutorial-SciPyConf-2018.git

It will create a new folder named Pandas-Tutorial-SciPyConf-2018/ with all the content you will need, including:

• requirements.txt - the package requirements for this tutorial
• check_environment.py - a script for testing your installation
• notebooks/ - the Jupyter notebooks we'll use during the tutoral

If you are using conda, you can install the necessary packages by opening a terminal and entering the following:

conda update conda --yes
conda --version  # Should be about 4.5.4
conda env create --file=environment.yml
conda activate pandas-scipy

If you are using Python from python.org or your system, you can install the necessary packages by opening a terminal and entering the following:

# Create a new environment
python3 -m venv pandas-scipy
source pandas-scipy/bin/activate

pip install -U pip wheel setuptools
pip install -U -r requirements.txt

To make sure everything was installed correctly, open a terminal, and change its directory (cd) so that your working directory is Pandas-Tutorial-SciPyConf-2018. The enter the following:

python check_environment.py

jupyter notebook

You may post messages to the slack channel for this tutorial at: https://scipy2018.slack.com