= Past CPUG Meetups (for reference) =
 * June 2014 - Theme: Continuous Integration
 * August 2014 - Geospatial Development with Python
 * September 2014 - Database Scaling and LISTEN/NOTIFY
 * October 2014 - Statistical Learning on Big Data
 * November 2014 - Wrapping python around C code
 * December 2014 - Lightning Talks
 * March 2015 - Lightning Talks
 * April 2015 - Object Relational Mapping with SQLAlchemy
 * May 2015 - Git Fundamentals by V
 * June 2015 - Agile development using Scrum
 * July 2015 - An introduction to image analysis with OpenCV and its application to honeybee research - Jack Simpson
 * August 2015 - IPython notebook basic intro + unexpected use cases - Kirill Kouzoubov
 * September 2015 - Leo - NetworkX
 * October 2015 - Python Contracting Opportunities - David Smith
 * November 2015 - An introduction to Openshift - Andrew Ritchie, Git yourself out of trouble by V
 * December 2015 - Python to C converter - Hugh Fischer
 * Feb 2016 - Learn you a Flask - Lachlan Blackall
 * Mar 2016 An introduction to Python Amazon Web Services library called Boto3 - Jonathan Metes
 * April 2016 - Pyramid I18N - James Li, Travis with Hypothesis - Zac Hatfield Dodds
 * May 2016 - Introduction to GNURadio - Paul Harvey
 * June 2016 - Centralised logfile analysis using Elastic, Logstash and Kibana (ELK) - Tomas Krajca
 * July 2016 - Lightning talks
 * August 2016 - Xarray and Dask - Andrew Hicks
 * September 2016 - An introduction to Pybuilder - John Weng
 * October 2016 - Digitising 100 years of parliamentary data - Django as a framework for government data management by Samuel Spencer
 * November 2016 Ansible - Raju Karia (Redhat)
 * December 2016 - Django Channels by Dominic Snowdon (and Pimp Your Shell by Gavin Jackson)
 * February 2017 - Using Python 3.6, MyPy and Jupyter Lab to identify people with similar meal preferences - Jack Simpson
 * March 2017 - Lightning Talks
 * April 2017 - Python Contracting Opportunities in the ACT - David Smith
 * May 2017 - Introduction to GraphQL in Python - Team Reposit, led by Mike Leonard
 * June 2017 - Applications of python for marine conservation - Jonah Sullivan
 * July 2017 - Image recognition and tracking with Python and machine learning - Jack Simpson
 * August 2017 - From REPL to reliable: working code without wasting time - Zac Hatfield Dodds
 * September 2017 The Wizardry of Metaprogramming - Mike Leonard
 * October 2017 - Lightning Talks
 * November 2017 - Deep Learning with Keras - Jonathan Mettes and Fun with Scrapy - Gavin Jackson