- Tuesday, 6 November 2018
9:30 am - 10:30 am - LX.lab CB06.04.020
Facilitated by Weisi Chan.
Do you want to automate your research data analysis (data manipulation, processing and visualisation)? Are you having a difficult time selecting which programming language is best for you? This session starts with a comparison of programming languages (Python, R, MATLAB, Julia) that are most popular within the research community, followed by a hands-on Jupyter notebook session to run some Python code so you can walk away with a feeling of what a programming language can do for your research.
Any researcher who wants to learn how to code in order to process their data more efficiently, and/or achieve better reproducibility for analyses is encouraged to attend.
Bookings required.
If you have any questions, please click here to contact the RES Hub team.
Register for this event
Your video, audio and the meeting chat transcript may be recorded or photographed. Please advise the facilitator if you do not wish to be recorded or photographed.
Bookings are closed for this event.