Mike Bryant

Resources

• Windows Subsystem for Linux (WSL): A Convenient Way to Run Linux Tools on a Windows 10 system

  Many tools and examples that are of interest to those wishing to explore, experiment, and develop projects for digital humanities or data analysis and other tasks are based on a Linux operating system. Mac iOS laptops support Linux fairly easily. However, until recently, Windows OS users have had difficulty in accessing programs and techniques that require a Linux operating system. This short tutorial will demonstrate a simple way for most Windows 10 users to run Linux programs and systems through Windows Subsystem for Linux (WSL).

• Extracting CSV Data from the EHRI Search API

  The EHRI (European Holocaust Research Infrastructure) Search API provides a way to retrieve information about items in the EHRI portal in JSON (JavaScript Object Notation) format by making HTTP requests to particular URLs. This short tutorial shows learners how use a command line tool (CuRL) to fetch structured data and transform it into CSV (comma separated values) format for import into a spreadsheet like Excel or Google Docs.

• Using OpenCV for Face Detection

  OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV using an example of face detection in images as a case study.

• Exploratory Topic Modelling in Python

  Topic modelling is a technique by which documents within a corpus are clustered based on how certain groups of terms are used together within the text. The commonalities between such term groupings tend to form what we would normally call “topics”, providing a way to automatically categorise documents by their structural content, rather than a more metadata-based knowledge system. Using resources held with EHRI's collections, this notebook offers learners an introduction to 'LDA' topic modelling using Python in a step-by-step guide.