Python Ireland October 2025 Meetup

Talk: Time series analysis for coupled neurons.

In this workshop, my goal is to popularize a reduced-order model of neuron dynamics and to teach how Python can be efficiently used to perform research on time series analysis of coupled neurons.
The pipeline of this talk will be the following:
(i) Introduce toy models of coupled neurons,
(ii) Python to simulate the system and generate time series data,
(iii) Perform time series analysis by computing various metrics from the nonlinear dynamics literature,
(iv) Finally, discuss what these metrics tell us about the temporal behaviour of neurons.
Methodologies/algorithms for time series analysis of coupled neuron models I am going to discuss are:
(i) Hurst exponent: measuring persistence of time series,
(ii) Sample entropy: measuring the complexity of time series,
(iii) 0–1 test: measuring chaos,
(iv) Cross-correlation coefficient: measuring synchrony between the neurons
(iv) Kuramoto order-parameter: measuring synchrony between the neurons.
This talk is 100% Python. I will show code snippets wherever necessary. Major packages that I would be utilising are
(i) ‘matplotlib’ for plotting,
(ii) ‘numpy’ and ‘scipy’ for scientific computations,
(iii) ‘nolds’ for nonlinear measure for dynamical systems,
(iv) ‘pandas’ for data handling.
Target Audience: The goal is to attract applied mathematicians, computer scientists, data scientists, engineers, and statisticians alike. The only technical background I would expect from the audience is familiarity with `matplotlib`, `numpy` and `pandas`, and some basic statistics (regression, correlation coefficient) and linear algebra (matrix operations). After the tutorial, the audience will leave with a newly built insight into the mathematical modeling of neuron dynamics.

Author: Indranil Ghosh

[I am a postdoctoral research fellow in mathematical neuroscience at University College Dublin, Ireland, working on all things "dynamical systems". I take a computational approach to tackle complex problems, and my current research is focused on understanding collective behaviour exhibited by coupled neurons. I am an avid Python user and have been a speaker at multiple Python-related conferences before.]

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Talk: Agentic AI Meets A2A: Building Autonomous, Communicative Agents in Python

AI is evolving beyond simple prompt-and-response — it’s becoming agentic: systems that can reason, plan, act, and collaborate. Yet autonomy by itself isn’t enough. For agents to operate effectively in the real world, they also need a way to communicate and coordinate securely — and that’s where the Agent-to-Agent (A2A) protocol comes in.

With A2A as the foundation, we’ll explore key agentic patterns such as LLM-as-Router, Parallel Agents, and Self-Reflection, and see how they can be applied in Python. This talk is focused on people new on Agentic AI but also provide some insights on experienced ones.

Author: Giorgio Zoppi
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Lightning Talk:

1. Mutebi (Trevor) David : Auto Api Documentation

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Venue: Workday Building, 152, Kings, 152-155, Church St, Smithfield,
Dublin 7, D07 A0TN

Big thanks to our sponsor for this edition: Check out their career page -Workday