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Conferences / PyCon (national Python conferences)

PyCon AU 2025

Sep 12–16, 2025 · Pullman Melbourne on the Park, Melbourne, VIC, Australia

Conference
PyCon (national Python conferences) Data science & ML
Dates
Sep 12, 2025 – Sep 16, 2025
Venue
Pullman Melbourne on the Park
Place
Melbourne, VIC, Australia
Format
In person
Status
Past
Attendance
—
Website
2025.pycon.org.au
Recorded
10 sponsors · 93 speaker appearances
Notes
Fri 12 - Tue 16 Sep (incl. specialist tracks: Data & AI, Education, Scientific Python; and sprints). Speakers: keynotes and all talks from site session data (pyconau/2025-website), with YouTube links; affiliations parsed from bios. Ticket prices not found.

Ticket prices

No ticket prices recorded

Sponsors 10

Platinum 1

Silver 3

Other 4

Speakers and talks 93

SpeakerCompanyRoleTalkLinks
Dr. Arwen Griffioen—KeynoteEthics in AI: Building Fair and Just Intelligence SystemsVideo
Alex Mirrlees-BlackAustralian National UniversityTalkPipe-ifying Python: The how and why of interpreter hackingVideo
Alison Wong—TalkEducation Track OpeningVideo
Alison Wong—TalkEducation Track ClosingVideo
Alison Wong—TalkStudent ShowcaseVideo
Amanda J Hogan—TalkStudent ShowcaseVideo
Amanda J Hogan—TalkEducation Track ClosingVideo
Amanda J Hogan—TalkEducation Track OpeningVideo
Andressa de Mello CabistaniRed HatTalkSelf-healing system for UI tests using MLVideo
Ankur JainInnablr - a DX1 companyTalkThe Duck and the DataFrame: A Data Engineer’s Journey with DuckDBVideo
Anthony Shaw—TalkMy AI is slow. Make it faster!Video
Benno Rice—TalkSkill IssueVideo
Boaz Ash—TalkNeedle in the Haystack: Applied ML for Inspections of Power InfrastructureVideo
Brooks Smith—TalkFrom Matlab to Lambda: Transforming Structural Engineering Research ToolsVideo
Caitlin Wright—TalkKeeping Creativity the Focus in Visual Effects and AnimationVideo
Caleb BrownGoogleTalkUnarchiving vulnerabilities and avoiding tar-pitsVideo
Charles Turner—TalkScientific Python Track OpeningVideo
Charles Turner—TalkScientific Python Track ClosingVideo
Chris ZahariaQ-CTRLTalkReinforcement Learning with Quantum Algorithms: Simulating Nematode BehaviourVideo
Christopher Neugebauer—TalkThe Death of ConsequencesVideo
Christopher Neugebauer—TalkGuardrails: An Alternative View of Safely Working in PythonVideo
Daehyok Shin—TalkGoing with the flow? Apache Airflow for operational-quality scientific workflowsVideo
David CollsMYOBTalkAn EV trip planner for AustraliaVideo
Derek Bingham—TalkHow to build your own MCP powered GenAI Agents—
Derek Bingham—TalkThe Continued Developer EvolutionVideo
Dilpreet Singh—TalkBeyond Vibes: Building Evals for Generative AIVideo
Dipendra PaudelCater CareTalkA Chronicle of Digital Transformation : From Kitchen Chaos to KubernetesVideo
Dr Jack Simpson—TalkBuilding an electricity market model from scratchVideo
Dr Tom—TalkEscape the Python - Ten years of Australia's best Escape RoomsVideo
Dr.Swapnilsony SinghGood Shepherd Australia New ZealandTalkAI for Good: Using Responsible AI to Drive Social Impact and InclusionVideo
Duy Nguyen—TalkModernizing Legacy: Wrapping a 25+ Year Computational Fluid Dynamics CodebaseVideo
Edwin Griffin—TalkCapturing Flags with MicrobitsVideo
Evan Kohilas—TalkArgs: Amazing or Approaching?Video
Genevieve Buckley—TalkScientific Python Track ClosingVideo
Genevieve Buckley—TalkScientific Python Track OpeningVideo
Geoff Matheson—TalkThe Streamlit Experiment: building web dashboards with Yr 10-12Video
Georgie KennedyIngham Institute for Applied Medical ResearchTalkObject-Oriented Oncology: Making Sense of Complex Patient JourneysVideo
Ghazaleh NiknamUniversity of WashingtonTalkObject-Oriented Oncology: Making Sense of Complex Patient JourneysVideo
Hailey Bartlett—TalkPinchy the bestest boiVideo
Isabelle De Backer—TalkScaling Security Anomaly Detection in Enterprise Knowledge Base with DaskVideo
Ishrat Zaman—TalkBig Brains, Small Targets: Whole-Brain Image Analysis with PythonVideo
Izy Hogan—TalkData Structures: A learning journeyVideo
Jack Reichelt—TalkWhy Teach the "Why"?Video
Jack Skinner—TalkData & AI Track ClosingVideo
Jack Skinner—TalkData & AI Track OpeningVideo
Jenya Bogacheva—TalkThe Birdwatcher’s Guide to Optimised Tabular Data PipelinesVideo
Jo Basevi—TalkScientific Python Track OpeningVideo
Jo Basevi—TalkScientific Python Track ClosingVideo
Justin WarrenPivotNineTalkSustaining Open Source Software: Tools for ChangeVideo
Kai Striega—TalkScientific Python Track ClosingVideo
Kai Striega—TalkScientific Python Track OpeningVideo
Kathy ReidDeakin UniversityTalkYour datasets, under your control: Introducing the Mozilla Data CollectiveVideo
Lilly Ryan—TalkFalsehoods Programmers Believe About RealityVideo
Maddie Mackey—TalkThe Lab - Lessons from an Autism-Inclusive Learning SpaceVideo
Melanie HampelAustralian SynchrotronTalkOn the Fly and On the Flight: Scientific Data Analysis Beyond the BeamlineVideo
Michael Gribben—TalkBeyond the Hype: Using AI Coding Agents TodayVideo
Michael Pegios—TalkGoing with the flow? Apache Airflow for operational-quality scientific workflowsVideo
Michaela Wheeler—TalkHigh altitude balloon imagery decoding in the browser with C, JS, and PythonVideo
Michelle Mei-Ling Sandford—TalkCode Without Barriers: Inclusive Python Development with AIVideo
Mimoune DJOUALLAH—TalkLife Beyond Pandas: Workflows with DuckDB, Daft, Polars, and DatafusionVideo
Muhammad Sakib Khan InanDeakin UniversityTalkTime Series Analysis in Python: Easy Tools for Scientific InsightVideo
NehaUniversity of WashingtonTalkHierarchical Clustering: Finding the awkward reunionsVideo
Nic Crouch—TalkData & AI Track ClosingVideo
Nic Crouch—TalkData & AI Track OpeningVideo
Nick Moore—TalkThe Primordial CodeVideo
Nicky Ringland—TalkEducation Track ClosingVideo
Nicky Ringland—TalkStudent ShowcaseVideo
Nicky Ringland—TalkEducation Track OpeningVideo
Nicky Ringland—TalkMyths developers believe about open source securityVideo
NitishGoDaddyTalkBuilding Production-Ready MCP Servers: From Protocol to PatternsVideo
Noah Kantrowitz—TalkThe Long Hello WorldVideo
Patrick SunterAustralian Bureau of MeteorologyTalkGoing with the flow? Apache Airflow for operational-quality scientific workflowsVideo
Rachel Bunder—TalkWhat emergency service volunteering has taught me about incident managementVideo
Ramon PerezMenlo LabsTalkBuilding with Multiple Languages: A Python-First ApproachVideo
Renee NobleMicrosoftTalkWhat’s in a Name? – Fuzzy Matching Techniques for Proper NounsVideo
Renee NobleMicrosoftTalkWho_Dunnit.xlsx – Teaching Python through Data InvestigationVideo
Rubaiath E UlfathRMIT UniversityTalkTime Series Analysis in Python: Easy Tools for Scientific InsightVideo
Russell Keith-Magee—TalkTaking wheels mobileVideo
Ruth Luscombe—TalkTips and tricks: data science prototype into productionVideo
Sam—TalkI learned everything about the match statement so you don't have toVideo
Sarah Reichelt—TalkEscape from Tutorial HellVideo
Sheena Nasim—TalkScaling Python-Powered Machine Learning With SnowflakeVideo
Simon MerrickStronghold PayTalkReducing the "Oops Factor": Pipelines for a Secure Python Development LifecycleVideo
Stephen TierneyUniversity of WashingtonTalkTaking Back the Streets: NaviLens and the Fight for Open NavigationVideo
Sujatha—TalkCatching them all: teaching fundamental OOP concepts with PokemonVideo
Suzannah Cooper—TalkDeveloper-friendly jobs across time zones when "out of hours" no longer existsVideo
Tarun JainAI PlanetTalkMCP for dummies: Feed more context to LLMVideo
Tennessee LeeuwenburgBureau of MeteorologyTalkPyEarthTools: Machine learning for Earth system scienceVideo
Tim Zhang—TalkMyths developers believe about open source securityVideo
Tishampati DharCSIRO Data61TalkModernizing Legacy: Wrapping a 25+ Year Computational Fluid Dynamics CodebaseVideo
Vivek KatialMultitudesTalkA case study on building our first LLM feature – how to balance speed + qualityVideo
Vladimir Roudakov—TalkTakeaways from teaching Python in collegeVideo
Zain AfzalQwilrTalkFound Font FamilyVideo

Sources