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Instructor-led course

Provided by: Cambridge Digital Humanities

This course is not scheduled to run.

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Evolve your Python Code into a Workflow for Text-based Research [cancelled - Covid-19]


We are currently reformatting our Learning programme for remote teaching; this will require some rescheduling so bookings will reopen and new sessions will be created for online courses as soon as possible. In the interim we would encourage you to register your interest so as to be notified of the new schedule. Please be aware that we hope to run many of our courses online, but that this is dependent on staff availability and resources so please be aware we may have to postpone or cancel some sessions

This workshop will develop your coding practice from testing ideas to creating an efficient workflow for your code, data and analysis. If you are using Jupyter Notebooks (but even if you’re not) this workshop will demonstrate how to better manage your code using good programming practices, and package your code into a program that is easier and quicker to run for lots of data and more reliable.

Required preparation (instructions provided): Python 3 installed on laptop; a text editor or IDE installed on laptop; git installed on laptop and signed up for GitHub; a short internet-based exercise in working with the command line.

Target audience

PhD students and staff.


Existing knowledge of Python is required – a working knowledge of Python syntax, variables, conditions, loops, functions and imports. You should be using Python in text-based research in some way.

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