Schedule

Workshop Day

Breakfast

08:30 - 10:00

10:00 - 13:00 Track 1

Chat with Tables: Developing Q&A system on Tabular data using Code Generative LLMs (AI and Machine Learning)

10:00 - 13:00 Track 2

Python-Powered Algorithmic Trading: From Theory to Practice (Other)

10:00 - 13:00 Track 3

Creating Low Cost Sensor dataloggers with Python and Microcontrollers (Hardware)

Lunch

13:00 - 14:00

14:00 - 17:00 Track 1

Introduction to data-driven AI applications and multi-modal search (AI and Machine Learning)

14:00 - 17:00 Track 2

Hands-on exercises to experience how compiler technology can be useful to speedup data processing in python (Platform Engg.)

14:00 - 17:00 Track 3

From Zero to Backend Hero: Creating Full-Featured Apps with FastAPI (Web Applications)

CONFERENCE DAY 1

Registrations / Breakfast

07:30 - 09:00

Opening Address

09:00 - 09:15

Keynote

Kovid Goyal

09:30 - 10:30

Tea Break

10:30 - 11:00

11:00 - 11:30 Track 1

Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge

Gautam Jajoo

11:00 - 11:30 Track 2

11:40 - 12:10 Track 2

AI deployments - No Regressions. No Regrets.

11:40 - 12:10 Track 3

Leveraging Python and Quantum Principles for Enhanced Network Operations and Design

Nivetha V

12:20 - 12:50 Track 1

Practical Guide to Celery in Production

Mahesh Mahadevan

12:20 - 12:50 Track 2

Enhancing Knee X-ray Diagnostics with AI

Kavya Mohan

Naveen K

12:20 - 12:50 Track 3

(Re)Learning Python with 10,000 Novices

Jaidev Deshpande

Lunch

12:50 - 14:00

Lightning Talks

14:00 - 14:40

14:45 - 15:15 Track 1

Finding actor look-alikes with multi-modal LLMs

Anand S

14:45 - 15:15 Track 2

Concurrency and parallel execution in Python and how the GIL affects it

Simran Jain

14:45 - 15:15 Track 3

Build Your Own Live Streaming Device Behind Your Home Router

Mrinal Raj

14:45 - 15:15 Open Spaces

Tune Assistant makes LLMs Smarter

15:25 - 15:55 Track 1

Panel Discussion on Ethics and Responsible AI

15:25 - 15:55 Track 2

Managing custom, reproducible Python virtual environments for PySpark and Jupyter Notebooks @ Uber

15:25 - 15:55 Track 3

Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide

Agriya Khetarpal

15:25 - 15:55 Open Spaces

Everything Django

High Tea

15:55 - 16:20

16:20 - 16:50 Track 1

Supercharge your Python code with the match statement

Siddharta Govindaraj

16:20 - 16:50 Track 2

How HappyFox uses Python and LLMs to develop enterprise software at scale

16:20 - 16:50 Track 3

Big Models, Small Tweaks: Exploring the LoRA way of Fine-Tuning

Preethi Srinivasan

Shruti Dhavalikar

Keynote

Usha Rengaraju

17:00 - 18:00

Closing Address

18:00 - 18:15

CONFERENCE DAY 2

Registrations / Breakfast

08:00 - 09:00

Opening Address

09:00 - 09:15

Keynote

Mars Lee

09:30 - 10:30

Tea Break

10:30 - 11:00

11:00 - 11:30 Track 1

Faster Applications: Harnessing Python with C/Zig libraries and my story of building fastest LLM tokenizer

Akhil Teja

11:00 - 11:30 Track 2

PagedAttention & vLLM: Supercharging LLM Inference Performance

Saikumar Dandla

11:00 - 11:30 Track 3

Deep Dive into Contextual Logging for Modern Python Applications

Poster Presentation

11:00 - 11:30

11:40 - 12:10 Track 1

QuickGrpc - grpc 101 tailored towards rest devs and showcase of quickgrpc framework

Ashutosh Pednekar

11:40 - 12:10 Track 2

Python and the Sun: Transforming Space Science with Open-Source

Akshit Tyagi

11:40 - 12:10 Track 3

Unleashing the Power of Python: Exploring Python's New JIT Compiler

12:20 - 12:50 Track 1

Beyond the Bot: Overcoming Pitfalls in Building Customer-Facing Chatbots

Chaitanya Chinni

12:20 - 12:50 Track 2

From Code to Production: Building Scalable GenAI Applications

12:20 - 12:50 Track 3

Python Packaging Demystified

Sasidhar Donaparthi

Lunch

12:50 - 14:00

Lightning Talks

14:00 - 14:40

14:45 - 15:15 Track 1

Panel Discussion on Inclusive Leadership: Stories of Empowerment and Impact

14:45 - 15:15 Track 2

From Code to Craft: Software Engineering Principles for Python Programmers

Anuj Menta

14:45 - 15:15 Track 3

Data platform for Social Impact

Ishan Koradia

Devi A S L

15:25 - 15:55 Track 1

Panel Discussion on Python Local User Groups in India: Keeping the Lights On

15:25 - 15:55 Track 2

Why Knowing Cython Helps in Understanding Python: A Deep Dive into Cython & PVM

15:25 - 15:55 Track 3

Beyond Single Models: The Secret Sauce of Predictive Success

Yashasvi Misra

High Tea

15:55 - 16:20

16:20 - 16:50 Track 1

Asynchronous Programming for Scalable Machine Learning Pipelines in Python

Animesh Dutta

16:20 - 16:50 Track 2

Database Change Management - 1000s of tables across multiple environments and 1 Alembic to rule them all

Kunal Bhattacharya

16:20 - 16:50 Track 3

Enhancements made in SciPy at Quansight Labs

Gagandeep Singh

Keynote

James Powell

17:00 - 18:00

Closing Address

18:00 - 18:15

Schedule

Sept. 20th

Sept. 21st

Sept. 22nd

Workshop Day

Breakfast

Chat with Tables: Developing Q&A system on Tabular data using Code Generative LLMs (AI and Machine Learning)

Python-Powered Algorithmic Trading: From Theory to Practice (Other)

Creating Low Cost Sensor dataloggers with Python and Microcontrollers (Hardware)

Lunch

Introduction to data-driven AI applications and multi-modal search (AI and Machine Learning)

Hands-on exercises to experience how compiler technology can be useful to speedup data processing in python (Platform Engg.)

From Zero to Backend Hero: Creating Full-Featured Apps with FastAPI (Web Applications)

CONFERENCE DAY 1

Registrations / Breakfast

Opening Address

Kovid Goyal

Tea Break

Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge

Live Coding: Building a Unit Testing Library like Pytest

Transforming Automotive Electronics Testing with Python and Robot Framework

TUIs Simplified: The Transformation of TUIs into User-Friendly Tools

AI deployments - No Regressions. No Regrets.

Leveraging Python and Quantum Principles for Enhanced Network Operations and Design

Practical Guide to Celery in Production

Enhancing Knee X-ray Diagnostics with AI

(Re)Learning Python with 10,000 Novices

Lunch

Lightning Talks

Finding actor look-alikes with multi-modal LLMs

Concurrency and parallel execution in Python and how the GIL affects it

Build Your Own Live Streaming Device Behind Your Home Router

Tune Assistant makes LLMs Smarter

Panel Discussion on Ethics and Responsible AI

Managing custom, reproducible Python virtual environments for PySpark and Jupyter Notebooks @ Uber

Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide

Everything Django

High Tea

Supercharge your Python code with the match statement

How HappyFox uses Python and LLMs to develop enterprise software at scale

Big Models, Small Tweaks: Exploring the LoRA way of Fine-Tuning

Usha Rengaraju

Closing Address

CONFERENCE DAY 2

Registrations / Breakfast

Opening Address

Mars Lee

Tea Break

Faster Applications: Harnessing Python with C/Zig libraries and my story of building fastest LLM tokenizer

PagedAttention & vLLM: Supercharging LLM Inference Performance

Deep Dive into Contextual Logging for Modern Python Applications

Poster Presentation

QuickGrpc - grpc 101 tailored towards rest devs and showcase of quickgrpc framework

Python and the Sun: Transforming Space Science with Open-Source

Unleashing the Power of Python: Exploring Python's New JIT Compiler

Beyond the Bot: Overcoming Pitfalls in Building Customer-Facing Chatbots

From Code to Production: Building Scalable GenAI Applications

Python Packaging Demystified

Lunch

Lightning Talks

Panel Discussion on Inclusive Leadership: Stories of Empowerment and Impact

From Code to Craft: Software Engineering Principles for Python Programmers

Data platform for Social Impact

Panel Discussion on Python Local User Groups in India: Keeping the Lights On

Why Knowing Cython Helps in Understanding Python: A Deep Dive into Cython & PVM

Beyond Single Models: The Secret Sauce of Predictive Success

High Tea

Asynchronous Programming for Scalable Machine Learning Pipelines in Python

Database Change Management - 1000s of tables across multiple environments and 1 Alembic to rule them all

Enhancements made in SciPy at Quansight Labs

James Powell

Closing Address