Schedule

  • Track 1
  • Track 2
  • Track 3
  • Open Spaces
Breakfast
08:30 - 10:00
Chat with Tables: Developing Q&A system on Tabular data using Code Generative LLMs (AI and Machine Learning)
10:00 - 13:00
Talk details
Creating Low Cost Sensor dataloggers with Python and Microcontrollers (Hardware)
10:00 - 13:00
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Python-Powered Algorithmic Trading: From Theory to Practice (Other)
10:00 - 13:00
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Lunch
13:00 - 14:00
Introduction to data-driven AI applications and multi-modal search (AI and Machine Learning)
14:00 - 17:00
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Hands-on exercises to experience how compiler technology can be useful to speedup data processing in python (Platform Engg.)
14:00 - 17:00
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From Zero to Backend Hero: Creating Full-Featured Apps with FastAPI (Web Applications)
14:00 - 17:00
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  • Track 1
  • Track 2
  • Track 3
  • Open Spaces
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
Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge
11:00 - 11:30
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Live Coding: Building a Unit Testing Library like Pytest
11:00 - 11:30
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Transforming Automotive Electronics Testing with Python and Robot Framework
11:00 - 11:30
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TUIs Simplified: The Transformation of TUIs into User-Friendly Tools
11:40 - 12:10
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AI deployments - No Regressions. No Regrets.
11:40 - 12:10
Leveraging Python and Quantum Principles for Enhanced Network Operations and Design
11:40 - 12:10
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Practical Guide to Celery in Production
12:20 - 12:50
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Enhancing Knee X-ray Diagnostics with AI
12:20 - 12:50
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(Re)Learning Python with 10,000 Novices
12:20 - 12:50
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Lunch
12:50 - 14:00
Lightning Talks
14:00 - 14:40
Finding actor look-alikes with multi-modal LLMs
14:45 - 15:15
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Concurrency and parallel execution in Python and how the GIL affects it
14:45 - 15:15
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Build Your Own Live Streaming Device Behind Your Home Router
14:45 - 15:15
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Tune Assistant makes LLMs Smarter
14:45 - 15:15
Panel Discussion on Ethics and Responsible AI
15:25 - 15:55
Managing custom, reproducible Python virtual environments for PySpark and Jupyter Notebooks @ Uber
15:25 - 15:55
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Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide
15:25 - 15:55
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Everything Django
15:25 - 15:55
High Tea
15:55 - 16:20
Supercharge your Python code with the match statement
16:20 - 16:50
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How HappyFox uses Python and LLMs to develop enterprise software at scale
16:20 - 16:50
Big Models, Small Tweaks: Exploring the LoRA way of Fine-Tuning
16:20 - 16:50
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Keynote: Usha Rengaraju
17:00 - 18:00
Closing Address
18:00 - 18:15
  • Track 1
  • Track 2
  • Track 3
  • Open Spaces
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
Faster Applications: Harnessing Python with C/Zig libraries and my story of building fastest LLM tokenizer
11:00 - 11:30
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PagedAttention & vLLM: Supercharging LLM Inference Performance
11:00 - 11:30
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Deep Dive into Contextual Logging for Modern Python Applications
11:00 - 11:30
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Poster Presentation
11:00 - 11:30
QuickGrpc - grpc 101 tailored towards rest devs and showcase of quickgrpc framework
11:40 - 12:10
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Python and the Sun: Transforming Space Science with Open-Source
11:40 - 12:10
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Unleashing the Power of Python: Exploring Python's New JIT Compiler
11:40 - 12:10
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Beyond the Bot: Overcoming Pitfalls in Building Customer-Facing Chatbots
12:20 - 12:50
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From Code to Production: Building Scalable GenAI Applications
12:20 - 12:50
Python Packaging Demystified
12:20 - 12:50
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Lunch
12:50 - 14:00
Lightning Talks
14:00 - 14:40
Panel Discussion on Inclusive Leadership: Stories of Empowerment and Impact
14:45 - 15:15
From Code to Craft: Software Engineering Principles for Python Programmers
14:45 - 15:15
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Data platform for Social Impact
14:45 - 15:15
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Panel Discussion on Python Local User Groups in India: Keeping the Lights On
15:25 - 15:55
Why Knowing Cython Helps in Understanding Python: A Deep Dive into Cython & PVM
15:25 - 15:55
Beyond Single Models: The Secret Sauce of Predictive Success
15:25 - 15:55
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High Tea
15:55 - 16:20
Asynchronous Programming for Scalable Machine Learning Pipelines in Python
16:20 - 16:50
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Database Change Management - 1000s of tables across multiple environments and 1 Alembic to rule them all
16:20 - 16:50
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Enhancements made in SciPy at Quansight Labs
16:20 - 16:50
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Keynote: James Powell
17:00 - 18:00
Closing Address
18:00 - 18:15