Chemistry: IS10 Reproducible Research and Software: With a Python Focus NewSpecial
Research reproducibility can be hard to get right. The aim of this talk is to raise awareness on the common pitfalls so you can confidently share your work for posterity. We will cover the dos and don’ts of data processing, how to comment on a script, and how to share it. Python will be used as an example because a variety of tools exist for this language. The goal is for anyone reading your paper to be able to go from the raw data to your paper figures.
The talk will last 20 minutes and there will be time for questions/discussion afterwards.
This talk is brought to you by the Chemistry Data Champions https://www-library.ch.cam.ac.uk/chemistry-data-champions
- Chemistry graduate students
- Chemistry PDRAs
- Chemistry PIs and academic staff
Number of sessions: 1
| # | Date | Time | Venue | Trainer |
|---|---|---|---|---|
| 1 | Thu 21 Nov 2019 14:30 - 15:00 | 14:30 - 15:00 | Unilever Lecture Theatre | Quentin Peter |
- To be able to access and share your research easily for years to come!
- Make you think about the questions you should ask yourself when making your research reproducible.
- Give you pointers to tools you could use (e.g. Python, Jupyter, GitHub, virtual environments, Docker).
- Do your own research on that to find the best setup for you!
Presentation
1 session of 30 minutes.
Booking / availability