https://github.com/chendaniely/scipy-2017-tutorial-pandas

SciPy 2017 Pandas Tutorial
https://github.com/chendaniely/scipy-2017-tutorial-pandas

training

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SciPy 2017 Pandas Tutorial

• Host: GitHub
• URL: https://github.com/chendaniely/scipy-2017-tutorial-pandas
• Owner: chendaniely
• License: other
• Created: 2017-06-27T13:51:27.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-12-02T18:10:54.000Z (over 3 years ago)
• Last Synced: 2024-01-16T20:06:14.831Z (5 months ago)
• Topics: training
• Language: Jupyter Notebook
• Size: 301 KB
• Stars: 160
• Watchers: 19
• Forks: 152
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-pandas - scipy-2017-tutorial-pandas

README

        
# SciPy 2017 Pandas Tutorial

Thanks for attending the [tutorial](https://youtu.be/oGzU688xCUs).

If you would be so kind to help me be better, please fill out the [feedback](https://docs.google.com/forms/u/0/d/e/1FAIpQLSf_hJ4akzTKIOEirxQAOE98ByD2zauXAW-ArNXX8ClNrNj9nQ/viewform?usp=sf_link) 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](https://docs.continuum.io/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