2025 Apr 3rd – UQ PUG 17

Welcome to UQ Python User Group! Check out our general info for how we work and what we do. Below you’ll find the details of this month’s gathering.

Overview

Welcome to the second PUG for the year! This month we’re taking a look at Jupyter notebooks.

Structure

  1. We start today by adding our names to the table below
  2. Add your questions to this page
  3. This month’s presentation
  4. Finally, we spend the rest of the session answering the questions you’ve brought!

Teams

We have moved from a mailing list to a Teams channel! Opt-in to receive PUG updates

How to use this document

This is a Jupyter Notebook, a document format where everything is separated into cells. Each cell contains either markdown, or python.

  • The markdown cells allow you to write formatted text
  • The python cells allow you to write AND run python

A few tips

  • Double click on a cell to edit it
  • CTRL + ENTER to run a cell
  • Press + Code or + Markdown in the top menu to create new cells. Alternatively, press the buttons between cells

Training Resources

We offer Python training sessions and resources, you can find our introductory guide here.

# Put any code you'd like to run here!

# For simpler stuff:
import scipy.stats as stats

# For more comprehensive modelling
import statsmodels.formula.api as smf

import pandas as pd

import matplotlib.pyplot as plt

# Bring in my data
df = pd.read_csv("../datasets/gapminder.csv")

df = df[df["country"] == "Australia"]
df = df[["year", "pop"]]

# Perform OLS
model = smf.ols("pop ~ year", data = df)

results = model.fit()
results.summary()

plt.plot(df["year"], results.fittedvalues, "r")
plt.plot(df["year"], df["pop"], ".")

Answers

Introduce yourself

What’s your name? Where are you from? Why are you here?
Cameron UQ Library & SMP To share and learn
Anne China / School of the Environment Inspired by friend
He Yang China / School of the Envirnoment Inspired by friend
Jessie Faculty of Health Data analysis
Georgina Virology PhD earning about machine learning models in Pythonn
Duncan SPPS Data Analysis to support school academics/Learn to automate tasks in Winndows

Questions

If you have any Python questions you’d like to explore with the group, please put your question and name in the sections below.

If you think you can help, feel free to contribute to the answers section!

What are your Python use cases? | Cameron

Why do you want to / do use Python

# Put any code you'd like to run here!

Answers

  • Answer 1
  • Answer 2
  • …

Some question | Anne

Add more details here, then press CTRL + ENTER when you’re done

# Put any code you'd like to run here!

Answers

  • Answer 1
  • Answer 2
  • …

How do I run a regression model to check for regression to the mean on a data set in Excel/CSV? | Duncan

Add more details here, then press CTRL + ENTER when you’re done

Markdown in Python outputs | He Yang / Cameron

Add more details here, then press CTRL + ENTER when you’re done

# Put any code you'd like to run here!

# ONce you've installed markdown
from markdown import markdown

Answers

  • pip install markdown
  • Answer 2
  • …

Where to start with machine learning? | Jessie

Add more details here, then press CTRL + ENTER when you’re done

# Put any code you'd like to run here!

Answers

  • Start with SciKit: https://scikit-learn.org
  • Then try Keras: https://keras.io/
  • PyTorch: https://pytorch.org/

Check those website for how to install (e.g. with conda or pip)

Packaging modules | He Yang

Add more details here, then press CTRL + ENTER when you’re done

# Put any code you'd like to run here!
import final_test_module.test_module as tm

tm.test_function()


Hello!

Answers