Conferences / PyCon (national Python conferences)
PyCon India 2025
Sep 12–15, 2025 · NIMHANS Convention Centre, Bengaluru, Karnataka, India
- Conference
- PyCon (national Python conferences) Data science & ML
- Dates
- Sep 12, 2025 – Sep 15, 2025
- Venue
- NIMHANS Convention Centre
- Place
- Bengaluru, Karnataka, India
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- in.pycon.org
- Recorded
- 13 sponsors · 84 speaker appearances
- Notes
- 16th PyCon India. Workshops 12 Sep at St. Francis College; conference 13-14 Sep at NIMHANS Convention Centre; dev sprint 15 Sep at Scaler School of Technology (all Bengaluru). Speakers: keynotes from the schedule page (Dawn Wages' keynote title not shown) plus all talks, workshops and panels from the pretalx schedule export (cfp.in.pycon.org); affiliations conservatively parsed from pretalx bios. Talk recordings: YouTube playlist PL6GW05BfqWIfKKY2EBgrdwb5QUnuWdlc9 (not linked per talk). No 2026 edition had been announced as of 2026-11-08.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Super Early Bird (conference 13-14 Sep) | ₹1,099 | — | in.pycon.org | |
| Student (conference) | ₹1,099 | — | in.pycon.org | |
| Workshop (12 Sep) | ₹1,199 | — | in.pycon.org | |
| Early Bird (conference) | ₹1,649 | — | in.pycon.org | |
| Regular (conference) | ₹2,199 | — | in.pycon.org | |
| Combo (workshop + conference) | ₹2,999 | — | in.pycon.org | |
| Late Bird (conference) | ₹3,299 | — | in.pycon.org | |
| Super Late Bird (conference) | ₹4,399 | — | in.pycon.org | |
| Contributor (conference) | ₹5,999 | — | in.pycon.org |
Sponsors 13
Gold 3
Other 1
- Python Software Foundation · Grant
Speakers and talks 84
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Dawn Wages | — | Keynote | — | — |
| Katharine Jarmul | — | Keynote | Artificial Information: How Today's AI is Changing Information | — |
| Reuven Lerner | — | Keynote | Learning and Coding in the Age of AI | — |
| Shakthi Kannan | — | Keynote | $ python build reactor.py | — |
| Aakash Khandelwal | Nagarro | Talk | Breaking Down Data Silos: Enterprise Data Automation with Python on Azure | — |
| Aarti Jha | Red Hat | Talk | Mastering Prompts with Feedback and Pydantic | — |
| Abhijit Roy | — | Talk | Green AI at Scale: Energy-Efficient LLM Serving using vLLM & LLM Compressor | — |
| Abhik Sarkar | — | Workshop | ArryPy: Array You Fast Enough? | — |
| Ajinkya P. Dahale | IIT Bombay | Talk | Reviving, Modernizing, and Packaging Unmaintained Code | — |
| Allen Y | UST | Talk | From Stress to Success: Load Testing Python Apps & Visualizing Performance | — |
| Aman Pandey | — | Workshop | Dating, Dining, and Doomscrolling: The Algorithms Behind Modern Choice | — |
| Anand Chitipothu | — | Panel | [Panel] Vibe Coding: Yay or Nay? | — |
| Anand KS | — | Talk | Building AI Apps That Don't Break: Architecture Lessons from HappyFox | — |
| Anand S | Straive | Panel | [Panel] Vibe Coding: Yay or Nay? | — |
| Anand S | Straive | Talk | DuckDB is the New Pandas | — |
| Anant Gupta | — | Talk | Python and Music: Building a Music Tutor | — |
| Aniket Kulkarni | — | Workshop | Axolotl on a Budget: Fine-Tuning 70B-parameter LLMs | — |
| Anindita Sinha Banerjee | Red Hat | Talk | Green AI at Scale: Energy-Efficient LLM Serving using vLLM & LLM Compressor | — |
| Anindita Sinha Banerjee | Red Hat | Panel | [Panel] Vibe Coding: Yay or Nay? | — |
| Anivesh Pandey | — | Workshop | ArryPy: Array You Fast Enough? | — |
| Archit Singh | Abnormal AI | Talk | Memory is the Agent: Architecting Stateful Reasoning | — |
| Ashish Shukla | — | Talk | Understanding Plugin Architecture for Python Packages | — |
| Astha Yadav | Algorand Foundation | Talk | Algorand Python: Next-Gen Smart Contracts Made Simple | — |
| Barath C | — | Talk | Building AI Apps That Don't Break: Architecture Lessons from HappyFox | — |
| Bhavin Gandhi | — | Talk | All Editors/IDEs Unite?? | — |
| Bhuvnesh Sharma | — | Talk | The Anatomy of Django Migrations | — |
| Charan Teja C S | — | Talk | RAGs to Riches: Efficient WebChatbot with Async Scraping & Hybrid Re-Ranking | — |
| Dhruv Manilawala | Astral | Talk | Astral’s static analysis tools: Ruff, ty, language server | — |
| Farhaan Bukhsh | — | Talk | Compiling Python to WASM | — |
| Farhaan Bukhsh | — | Talk | Rust and Wasm in Python ecospace. | — |
| Gaurav Trivedi | — | Talk | RapidDoc - A Rule-Based Fine-Tuned Model for Enforcing Style Guide Rules | — |
| Heer Thakkar | — | Talk | 'Hope, Hesitation and Hello World' : A Girl's Path from Confusion to Clarity | — |
| Indroneel Ray | — | Talk | Quickly spinning up agents with AWS Strands Agent SDK | — |
| Ivan Blinkov | — | Talk | Implementing an MCP Server for DBMS in Python — YDB’s Experience | — |
| Jayesh Sharma | — | Talk | Lessons From The Trenches: Building Rube | — |
| Jithu Sunny | KeyValue Software Systems | Talk | Memory Management in Python: Foundations, Problems, and Modern Techniques | — |
| Kalyan Prasad | — | Workshop | Agents in Action: From Concepts to Live Agent Demos | — |
| Kumar Anirudha | — | Talk | Getting Started with Open Source | — |
| Kumar Anirudha | — | Talk | Python India User Groups | — |
| Kumar Anirudha | — | Panel | [Panel] Vibe Coding: Yay or Nay? | — |
| Kumar Anirudha | — | Talk | Getting Started with Open Source | — |
| Kumar Anirudha | — | Talk | Compiling Python to WASM | — |
| Lakshya Gupta | — | Talk | Python and Music: Building a Music Tutor | — |
| Mahima Arora | Red Hat | Talk | Mastering Prompts with Feedback and Pydantic | — |
| Mohit Khandelwal | Talk | Navigating Careers in the Age of AI: Staying Relevant & Growing Ahead | — | |
| Nitin Agarwal | — | Talk | Compute-Scaling Methods at Inference Time | — |
| Param Rajani | GoDaddy | Talk | Celery and Kubernetes for a Fast, Scalable, and Robust Workflow Orchestration | — |
| Poruri Sai Rahul | Enthought | Workshop | Experience the Frappe Framework | — |
| Pratik Kumar Panda | Red Hat | Workshop | Offline-First Python IoT: Mesh, Security & OTA on the Edge | — |
| Pratik Kumar Panda | Red Hat | Talk | Edge ML with MicroPython + TinyML: Real-time Inference on under ₹500 Boards | — |
| Preethi Srinivasan | — | Talk | Geometry of Efficient Fine Tuning: LoRA, Intrinsic Dimension & Subspace Learning | — |
| Preethi Srinivasan | — | Workshop | Scatter The Learning. Reduce The Time. | — |
| Princekumar Dobariya | BBD Software | Talk | Is FastAPI really fast ? | — |
| Puneet Khushwani | — | Talk | Finding a Needle in the Haystack - Debugging Performance Issues | — |
| Rajesh Sola | — | Workshop | Building Powerful Applications with Intuitive HMI Using PyQt and QML | — |
| Rajul Jha | — | Talk | Automating License & Copyright Scanning in CI Pipelines With FOSSology | — |
| Ravindra Jaju | — | Workshop | Scatter The Learning. Reduce The Time. | — |
| Rengaraj D | Intelsat | Talk | Know Thy Packets: Demystifying Network Fundamentals with Scapy | — |
| Robin Gupta | — | Talk | Boundaries of Multi Agent Systems | — |
| Rohan Giriraj | Autodesk | Talk | Beyond the Basics - Advanced GIL Mitigation Patterns | — |
| Rohan Reddy Alleti | Sahaj Software | Talk | Python Sockets at Scale: I/O Multiplexing and Asyncio | — |
| Rutvik Acharya | — | Talk | Compute-Scaling Methods at Inference Time | — |
| Saksham Aggarwal | PYOR | Talk | Evals First, Code Later: A Practical Guide to Evaluations, Rerankers & Caches | — |
| Saradindu Sengupta | — | Workshop | Optimising Deep Neural Inference for Edge Devices: Toolchain and Techniques | — |
| Sasidhar Donaparthi | — | Talk | MCP Unlocked: The Key to Smarter AI Contextualization | — |
| Shaleen Jain | BARC | Talk | Scaling Python for Performance: 40x Faster Image Processing with Smart designing | — |
| Shalini Harkar | IBM | Workshop | Preparing Data for LLM Applications Using Data Prep Kit | — |
| Shrayas | — | Talk | Know Thy Packets: Demystifying Network Fundamentals with Scapy | — |
| Shreya Kommuri | — | Panel | [Panel] Vibe Coding: Yay or Nay? | — |
| Shreya Kommuri | — | Talk | Engineering Custom Diffusion Workflows with ComfyUI: A Developer's Guide | — |
| Shubham Londhe | Amazon Web Services | Workshop | Building Agentic AI Applications With Strands Agents SDK | — |
| Sibin Bhaskaran | Sahaj Software | Talk | Navigating Real-World Challenges in a Production-Grade Multi-Agent System | — |
| Siddharta G | — | Workshop | Programming is Playtime | — |
| Siddhi Kommuri | — | Talk | Engineering Custom Diffusion Workflows with ComfyUI: A Developer's Guide | — |
| Sneha Singh | — | Talk | Edge ML with MicroPython + TinyML: Real-time Inference on under ₹500 Boards | — |
| Sonu Kumar | — | Workshop | Agents in Action: From Concepts to Live Agent Demos | — |
| Srikanth Doddi | OSI Digital Pvt Ltd | Talk | RAGs to Riches: Efficient WebChatbot with Async Scraping & Hybrid Re-Ranking | — |
| Stefanie Molin | Bloomberg | Talk | Data Morph: A Cautionary Tale of Summary Statistics | — |
| Subhajit Mukherjee | Reckonsys | Talk | Democratization of software development using Gen AI | — |
| Subhajit Mukherjee | Reckonsys | Talk | Democratization of software development using Gen AI | — |
| Urvashi Choubey | — | Talk | Lint Like Lightning, Deploy Like a Ninja: Ruff + Dagger in Action | — |
| Vatsal Shah | Amazon Web Services | Talk | From Scripts to Solvers: Building Agentic AI Systems in Python That Think and Do | — |
| Vivek Keshore | — | Workshop | FastAPI for Production: Patterns and Architecture in Practice | — |
| Vivek Keshore | — | Talk | Surprises, Pitfalls, and Patterns: Learnings from Interviewing 400+ Developers | — |