/scipy-2017-tutorial-pandas

SciPy 2017 Pandas Tutorial

Primary LanguageJupyter NotebookMIT LicenseMIT

SciPy 2017 Pandas Tutorial

Thanks for attending the tutorial. If you would be so kind to help me be better, please fill out the feedback form

Installation

  1. Install anaconda (use the Python 3 version): https://www.continuum.io/downloads
  2. See the Software-Carpentry Installations for bash, git, python, and text editor: https://swcarpentry.github.io/workshop-template/#setup

Testing your installation

  1. Run the test_installation.py script (or copy/paste the import statments into a python interpreter)

How to run the Jupyter Notebook

Windows/Mac

There will be an Anaconda Navigator application that installs to your system. You can launch the Jupyter notebook from there to run your python code.

Linux

Anaconda's Python installation should be your system's default python. Make sure you open a new terminal window for this to take effect. You can launch python by typing jupyter notebook

Creating a Notebook

Once you have the Jupyter notebook launched, there's a button towards the top right called new. Click this and select Python 3.

Get Data

  1. Download or Clone the this repository.
    • Press the green button towards the top right
    • click download zip
    • extract
    • celebrate