Introduction to Python

This is an online workshop that will use the REANNZ training environment. Full instructions will be sent to registrants closer to the time of the workshop and login details provided on the day.

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Please Click the Link to go to the NeSI Training environment. Training Environment

Workshop

Day 1: Introduction to Python

https://datacarpentry.org/python-ecology-lesson/

• 2 - Short Introduction to Python
• 3 - Starting with Data
• 4 - Indexing, Slicing and Subsetting DataFrames in Python
• 5 - Data Types and Format

Day 2: Object Oriented Programming in Python

https://pletzer.github.io/python-oop-novice/

Data

Datasets ship with this repo under data/ — see data/README.md for columns and provenance.

• Portal surveys — data/surveys.csv, data/species.csv (Data Carpentry python-ecology)
• Gapminder, tidy long — data/gapminder.csv (1704 rows: country, year, pop, continent, lifeExp, gdpPercap)
• Gapminder, wide — data/gapminder_all.csv and data/gapminder_gdp_<continent>.csv (Software Carpentry python-novice-gapminder)

On the training environment these appear in ~/intro-python/data/.

Additional Python Resources

Machine Learning 101 - Introduction to ML

• https://github.com/nesi/sklearn_tutorial

Machine Learning 102 - Image Anlysis

• https://github.com/nesi/ml102_workshop

Try Jupyter https://jupyter.org/try-jupyter/lab/

Python for Data Analysis https://wesmckinney.com/book/

Kiwi PyCon 2026 - taking a break

try - PyCon Australia https://2026.pycon.org.au/

Kiwi PyCon 2026