Call for Speakers

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in 35 hours

import_ bengaluru

event date

6 Sep 2026

location

Bengaluru, India


Python isn't just one ecosystem.

​Across Bengaluru, different communities are building with Django, AI/ML frameworks, data tools, cloud platforms, scientific computing libraries, open-source infrastructure, and everything in between. While we often meet within our own circles, we rarely get a chance to see what the broader Python community is working on.

​import_bengaluru is an attempt to bring these communities together for a day of learning and collaboration.

​Hosted by BangPypers, this event features speakers from different Python-focused communities sharing practical experiences, lessons learned, and interesting work from their respective ecosystems. Rather than focusing on a single technology stack, the goal is to showcase the diversity of Python and the people building with it.

​Whether you're a beginner, an experienced Python developer, an open-source contributor, a data scientist, an ML engineer, or simply curious about what other communities are doing, you'll find something worth taking away.

​Join us for a day of talks, conversations, and community as we explore the many ways Python powers Bengaluru's technology ecosystem.

​Date: September 6, 2026

Time: 10:00 AM – 6:00 PM

Location: Bengaluru

finished 8 days ago
Call for Speakers
Call opens at 12:00 AM

26 Jul 2026

Call closes at 11:59 PM

27 Aug 2026

Call closes in India Standard Time (UTC+05:30) timezone.
Closing time in your timezone () is .

We are looking for talks related to Python and the open-source ecosystem.

Submissions should focus on practical experiences, tools, projects, ideas, or lessons that would be useful to the wider Python community. Topics may include:


* Python libraries, frameworks, and developer tooling

* Open-source projects and contribution journeys

* Web development, data, AI/ML, automation, DevOps, or scientific computing using Python

* Building and maintaining open-source communities or projects

* Case studies, technical deep dives, and lessons learned

* New or lesser-known tools within the Python ecosystem


Talks should be educational and community-focused rather than promotional.

We welcome submissions from first-time speakers, experienced speakers, maintainers, contributors, and community members. The proposed session should have a clear connection to Python, open source, or both.



all submitted sessions

publicly listed on this page
16 submissions
Submitted sessions
Amar Pandey
  • The "Security Guard" for AI: Making Enterprise Tools Safe with MCP Gateways
Anustup Mukherjee
  • Asyncio Is All Your Agents Need: Scaling Multi-Model AI Pipelines with the Standard Library
Anirban Bose
  • Your Evals Are Lying to You: Validating LLM-as-Judge Before You Trust It
Abhik Sarkar, Anivesh Pandey
  • From Python AST to LLVM: Building Tiny Compiler in Pythin with MLIR
Suresh Sala
  • The Agent Who Knew Too Much: Three Layers Between AI and Production Disaster
Ganesh Kathiresan
  • How NumPy divides integers really fast (and the bugs I caused doing it)
AbdulMajed RS
  • WTF AI Agent Harness? Let's build a Baby Codex
Dev Aggarwal
  • Gooey-GUI - Python GUI framework for the VibeCoding Era
Harsha Vardhan
  • The Reflex and The Reason: Powering Open-Source Humanoids with Python, SLMs, and Recursive Architect
Pratik Parmar
  • Scaling LLM Inference for Production Traffic
show all submissions
Bhavesh Bhatt
  • RAGs to Riches: Unlocking Deep Context with GraphRAG, Neo4j & Gemini
Jagan PS
  • Agent Mesh as the Next IDP Layer
Yashasvi Misra
  • The Anatomy of an AI Agent's Bad Decision
Neel Shah
  • Debugging Python in Production: Practical Techniques Beyond Print Statements
Moaaz Shareef
  • Deterministic Workflows for Non-Deterministic AI: Building Dependable Agentic Systems with Python
Aman Bansal
  • How agents defeat Python's quality gates