UvA Coding the Humanities 2020

Contents

Hello World: a first notebook to check if everything is working.
Python basics: basics of Python, including ample reference documentation.
Input/Output: reading and writing files from and to disk.
(optional) Pandas basics: Pandas is the go-to library for data analysis.
(optional) Data wrangling: loading, cleaning and transforming data for analysis.
Working with Tweets: working with data from Twitter.
(optional) Web Scraping and APIs: scraping the Web and APIs for data.
(optional) Working with Texts: the Natural Language Processing pipeline to work with texts.

We will use some datasets from this course.

Set-up

Editor

You will need an editor to write code and edit files. If you don't have a preferred one yet, check Sublime Text or Atom.

Working with Jupyter Notebooks

Option 0 (fallback): Use Binder (link above). Keep in mind you need to download your notebooks to save them locally.
Option 1 (recommended): Download the repository contents and use Spyder or the Jyputer Notebook. See the guide to setup your environment for more info.
Option 2 (advanced): work directly with git and conda. See the guide to setup your environment for more info.

Further reading

A more detailed guide to setup your environment, with multiple options.

Acknowledgements

Some materials are re-purposed from:

Applied Data Analysis, Oxford Digitial Humanities Summer School.
Text Mining, Amsterdam University College.
Python Programming for the Humanities.