Name: pandas-code4lib-2017
Owner: NCSU Libraries
Description: Data Analysis with Python: An introduction to Pandas and Jupyter Notebooks. A workshop presented at the 2017 Code4Lib in Los Angeles, CA.
Created: 2017-02-27 20:49:04.0
Updated: 2017-08-15 21:00:20.0
Pushed: 2017-03-06 15:58:19.0
Homepage: https://ncsu-libraries.github.io/pandas-code4lib-2017/
Size: 3029
Language: JavaScript
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These are the materials for the workshop “Data analysis with Python: An introduction to Pandas and Jupyter Notebooks” presented at Code4Lib 2017 in Los Angeles, CA
This workshop can be run entirely in a web browser with no prerequisites installed, using a freely available service called “Binder”. It can be started by clicking on the badge at the top of this README that says “launch binder”. This will spin up a running instance of the Jupyter notebooks in this repository. However, the binder service is not always reliable, so you may need to run a local version of the Jupyter notebook server. We recommend using Anaconda if you do not have Python 3 installed on your computer.
You can download Anaconda from: https://www.continuum.io/downloads
Be sure to choose the right version for your OS, and also to choose the Python 3.6 version. Once this is installed, either clone or download this repository.
Open a shell of your choice (or the command prompt in Windows if you don't have an alternative shell installed) and run the following commands (replacing /path/to/pandas-code4lib-2017 with the location you downloaded/cloned the repository):
cd /path/to/pandas-code4lib-2017
pip install -r requirements.txt
jupyter notebook
At this point, a web browser should open with a listing of the files in the repository. You're ready to go!
If you already have Python3 and pip installed on your machine, you don't need to install Anaconda. You can just clone the workshop GitHub repository and run the same commands as above.