02 & 09 February
13.00 - 17.00 AEST
Instructors: Mar Quiroga, Jean Linis-Dinco, Jair Garcia Mendoza
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could be further improved.
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: The Lab, Digital Studio Level 2, West Wing of Arts West Building (Building 148), The University of Melbourne Royal Parade Parkville, VIC 3052. Get directions with OpenStreetMap or Google Maps.
When: 02 & 09 February. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email mdap-info@unimelb.edu.au or j.dinco@unimelb.edu.au for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| 13.00 | Introduction to Python |
| 13.50 | Python Basics |
| 14.40 | BREAK |
| 14.55 | Python control structures |
| 17.00 | END |
| 13.00 | Starting with Data |
| 14.00 | Combining DataFrames with pandas |
| 15.00 | BREAK |
| 15.15 | Creating Reusable Code |
| 17.00 | Post-workshop survey |
| END |
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. Please contact the organisers, if you would like more information about the planned schedule.