Conferences / PyCon (national Python conferences)
PyCon India 2024
Sep 20–23, 2024 · NIMHANS Convention Centre, Bengaluru, Karnataka, India
- Conference
- PyCon (national Python conferences) Data science & ML
- Dates
- Sep 20, 2024 – Sep 23, 2024
- Venue
- NIMHANS Convention Centre
- Place
- Bengaluru, Karnataka, India
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- in.pycon.org
- Recorded
- 16 sponsors · 50 speaker appearances
- Notes
- 15th PyCon India. Workshops 20 Sep, talks 21-22 Sep at NIMHANS Convention Centre, dev sprints 23 Sep. Speakers: keynotes (no talk titles given) plus all scheduled talks/workshops from in.pycon.org/2024/schedule/; workshop speakers matched from the speaker pages; affiliations from the speaker headline on in.pycon.org/2024/speakers/ ('... at Company'), null where not stated. Panels without listed speakers omitted. Ticket prices (KonfHub) not found.
Ticket prices
No ticket prices recorded
Sponsors 16
Platinum 3
Speakers and talks 50
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| James Powell | Don't Use This Code | Keynote | — | — |
| Kovid Goyal | — | Keynote | — | — |
| Mars Lee | — | Keynote | — | — |
| Usha Rengaraju | — | Keynote | — | — |
| Aakash Kaushik | TuneAI | Talk | Tune Assistant makes LLMs Smarter | — |
| Abhijeet Kumar | Fidelity Investments | Workshop | Chat with Tables: Developing Q&A system on Tabular data using Code Generative LLMs | — |
| Abhik Sarkar | Cloudastructure | Talk | Why Knowing Cython Helps in Understanding Python: A Deep Dive into Cython & PVM | — |
| Agriya Khetarpal | Quansight | Talk | Python in the browser: my journey towards enhancing the Scientific Python ecosystem's interoperability with Pyodide | — |
| Akhil Teja | — | Talk | Faster Applications: Harnessing Python with C/Zig libraries and my story of building fastest LLM tokenizer | — |
| Akshit Tyagi | JIIT Noida | Talk | Python and the Sun: Transforming Space Science with Open-Source | — |
| Anand S | Straive | Talk | Finding actor look-alikes with multi-modal LLMs | — |
| Animesh Dutta | — | Talk | Asynchronous Programming for Scalable Machine Learning Pipelines in Python | — |
| Anuj Menta | — | Talk | From Code to Craft: Software Engineering Principles for Python Programmers | — |
| Ashutosh Pednekar | — | Talk | QuickGrpc - grpc 101 tailored towards rest devs and showcase of quickgrpc framework | — |
| Bhavani Ravi | TheLearningDev | Talk | Live Coding: Building a Unit Testing Library like Pytest | — |
| Chaitanya Chinni | YNOS Venture Engine | Talk | Beyond the Bot: Overcoming Pitfalls in Building Customer-Facing Chatbots | — |
| Devi A S L | Tech4Dev | Talk | Data platform for Social Impact | — |
| Gagandeep Singh | Quansight | Talk | Enhancements made in SciPy at Quansight Labs | — |
| Gautam Jajoo | Microsoft | Talk | Unveiling the Private: Federated Learning and Model Compression for Secure AI at the Edge | — |
| Harikrishnan Subramanian | — | Talk | AI deployments - No Regressions. No Regrets. | — |
| Ishan Koradia | Dalgo | Talk | Data platform for Social Impact | — |
| Jaidev Deshpande | Gramener | Talk | (Re)Learning Python with 10,000 Novices | — |
| Jithin | — | Workshop | Creating Low Cost Sensor dataloggers with Python and Microcontrollers | — |
| Kavya Mohan | 5C Network | Talk | Enhancing Knee X-ray Diagnostics with AI | — |
| Kunal Bhattacharya | PepsiCo | Talk | Database Change Management - 1000s of tables across multiple environments and 1 Alembic to rule them all | — |
| Mahesh Mahadevan | Avoma | Talk | Practical Guide to Celery in Production | — |
| Milan Shet | Applied Materials | Talk | Unleashing the Power of Faster Python: Exploring Numba & Python’s JIT Compiler | — |
| Mohit Khandelwal | Bitgo | Workshop | Python-Powered Algorithmic Trading: From Theory to Practice | — |
| Mrinal Raj | Cisco | Talk | Build Your Own Live Streaming Device Behind Your Home Router | — |
| Nadheesh Jihan | WSO2 | Talk | From Code to Production: Building Scalable GenAI Applications | — |
| Naveen K | 5C Network | Talk | Enhancing Knee X-ray Diagnostics with AI | — |
| Niloth | — | Talk | TUIs Simplified: The Transformation of TUIs into User-Friendly Tools | — |
| Nivetha V | Adyen | Talk | Leveraging Python and Quantum Principles for Enhanced Network Operations and Design | — |
| Pradeek J | HappyFox | Talk | How HappyFox uses Python and LLMs to develop enterprise software at scale | — |
| Preethi Srinivasan | — | Talk | Big Models, Small Tweaks: Exploring the LoRA way of Fine-Tuning | — |
| Priya Sridharan | — | Talk | Tune Assistant makes LLMs Smarter | — |
| Ramya Oruganti | Microsoft | Workshop | Introduction to data-driven AI applications and multi-modal search | — |
| Saikumar Dandla | Amazon Web Services | Talk | PagedAttention & vLLM: Supercharging LLM Inference Performance | — |
| Sasidhar Donaparthi | — | Talk | Python Packaging Demystified | — |
| Sayan Pal | — | Talk | Managing custom, reproducible Python virtual environments for PySpark and Jupyter Notebooks @ Uber | — |
| Shoaib Ahmed | — | Talk | AI deployments - No Regressions. No Regrets. | — |
| Shruti Dhavalikar | — | Talk | Big Models, Small Tweaks: Exploring the LoRA way of Fine-Tuning | — |
| Siddharta Govindaraj | Playful Python | Talk | Supercharge your Python code with the match statement | — |
| Simran Jain | Bloomberg | Talk | Concurrency and parallel execution in Python and how the GIL affects it | — |
| Siva Gudibandi | E2E Networks | Talk | TIR - AI Platrform by E2E Networks | — |
| Sourav Saha | NEC | Workshop | Hands-on exercises to experience how compiler technology can be useful to speedup data processing in python | — |
| Tapan Avasthi | — | Talk | Deep Dive into Contextual Logging for Modern Python Applications | — |
| Vijay Kumar B | Zilogic Systems | Talk | Transforming Automotive Electronics Testing with Python and Robot Framework | — |
| Vivek Keshore | SenecaGlobal | Workshop | From Zero to Backend Hero: Creating Full-Featured Apps with FastAPI | — |
| Yashasvi Misra | AB InBev | Talk | Beyond Single Models: The Secret Sauce of Predictive Success | — |