Schedule
TIME | Track 1 | Track 2 | Track 3 | Open Space | Hallway |
---|---|---|---|---|---|
08:30 - 10:00 | Breakfast | ||||
10:00 - 13:00 | Chat with Tables: Developing Q&A system on Tabular data using Code Generative LLMs (AI and Machine Learning) | Creating Low Cost Sensor dataloggers with Python and Microcontrollers (Hardware) | Python-Powered Algorithmic Trading: From Theory to Practice (Other) | ||
13:00 - 14:00 | Lunch | ||||
14:00 - 17:00 | 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) |
TIME | Track 1 | Track 2 | Track 3 | Open Space | Hallway |
---|---|---|---|---|---|
07:30 - 09:00 | Registrations / Breakfast | ||||
09:00 - 09:15 | Opening Address | ||||
09:30 - 10:30 | Keynote: Kovid Goyal | ||||
10:30 - 11:00 | Tea Break | ||||
11:00 - 11:30 | Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge | Live Coding: Building a Unit Testing Library like Pytest | How I learnt the Art of Balancing - Integrating Hobbies for work-life Harmony! | Poster Presentation | |
11:40 - 12:10 | TUIs Simplified: The Transformation of TUIs into User-Friendly Tools | Concurrency and parallel execution in Python and how the GIL affects it | Leveraging Python and Quantum Principles for Enhanced Network Operations and Design | ||
12:20 - 12:50 | Practical Guide to Celery in Production | Enhancing Knee X-ray Diagnostics with AI | (Re)Learning Python with 10,000 Novices | ||
12:50 - 14:00 | Lunch | ||||
14:00 - 14:40 | Lightning Talks | ||||
14:45 - 15:15 | Finding actor look-alikes with multi-modal LLMs | TBD | Build Your Own Live Streaming Device Behind Your Home Router | ||
15:25 - 15:55 | Panel Discussion | 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 | |
15:55 - 16:20 | High Tea | ||||
16:20 - 16:50 | Supercharge your Python code with the match statement | TBD | Finetuning with LLMs - The Idea Behind Parameter Efficient Fine-Tuning and Analyzing LoRA through its Implementation on an MLP | ||
17:00 - 18:00 | Keynote: Usha Rengaraju | ||||
18:00 - 18:15 | Closing Address |
TIME | Track 1 | Track 2 | Track 3 | Open Space | Hallway |
---|---|---|---|---|---|
08:00 - 09:00 | Registrations / Breakfast | ||||
09:00 - 09:15 | Opening Address | ||||
09:30 - 10:30 | Keynote: TBD | ||||
10:30 - 11:00 | Tea Break | ||||
11:00 - 11:30 | Faster Applications: Harnessing Python with C/Zig libraries and my story of building fastest LLM tokenizer | Revolutionizing LLM Serving: PagedAttention and vLLM for Unmatched Throughput, Efficiency and Seamless integration with popular Hugging Face models | Deep Dive into Contextual Logging for Modern Python Applications | Poster Presentation | |
11:40 - 12:10 | 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 | ||
12:20 - 12:50 | Beyond the Bot: Overcoming Pitfalls in Building Customer-Facing Chatbots | TBD | Python Packaging Demystified | ||
12:50 - 14:00 | Lunch | ||||
14:00 - 14:40 | Lightning Talks | ||||
14:45 - 15:15 | Panel Discussion | Transforming Automotive Electronics Testing with Python and Robot Framework | Data platform for Social Impact | ||
15:25 - 15:55 | Panel Discussion | Why Knowing Cython Helps in Understanding Python: A Deep Dive into Cython & PVM | Beyond Single Models: The Secret Sauce of Predictive Success | ||
15:55 - 16:20 | High Tea | ||||
16:20 - 16:50 | 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 | ||
17:00 - 18:00 | Keynote: James Powell | ||||
18:00 - 18:15 | Closing Address |