Introduction to Python Workshop
- Date : 14th November 2018
- Time : 10:00am to 5:00pm
- Location : T1, Sir Louis Matheson Library, Clayton, VIC
- Instructors : Anup Shah, Andrew Perry
- Helpers : Michael See, Andrew Harrison
This hands-on workshop aims to equip participants with the fundamentals of programming and give them skills needed to apply data analysis approaches to their research questions.
General Information
The workshop will be taught in a similar style to Data Carpentry workshops. Data Carpentry’s mission is to trains researchers in the core data skills for efficient, shareable, and reproducible research practices.
Who: The course is aimed at beginners to programming. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.
Setup Requirements: BYO Laptop. No software installation required. The course will be taught online, so active internet connection is required. Tools and material will be provided on the day.
Schedule
| Time | Programme |
|---|---|
| 10:00 | Welcome |
| 10:15 | Session 1 |
| 12:15 | Lunch |
| 01:30 | Session 2 |
| 02:45 | Break |
| 03:00 | Session 3 |
| 04:45 | Wrap up, post workshop survey |
Python environment
- This course will use Colaboratory to run Python code. Colaboratory is a Jupyter notebook environment that is well suited to data exploration projects.
Shared Notepad
- Click here to go to shared notepad.
Syllabus
Introduction to Python Workshop (This content is largely based on the Data Carpentry “Data Analysis and Visualization in Python for Ecologists” workshop. There’s nothing really ecology-specific about this course, the dataset used just happens to be an ecology-related CSV file)
Post-workshop survey
We appreciate your feedback (both positive and negative !) - please fill this out in the last 5 mins of the workshop: https://goo.gl/forms/clw7FfmFjxxAlOGs2
Keep In Touch
Sign up to Data Fluency’s mailing list for event updates and checkout our Github (pull requests and stars welcome !).
Join the Slack channel. This is Data Fluency community space were you can can ask for help and advice, as well as share and discuss links of interest.