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Join me as I share a hands-on approach to load testing Python apps with Locust and monitoring them in real time using Grafana ...

Many retrieval-augmented generation (RAG) and code-search pipelines rely on ad-hoc checks and break when deployed at scale ...

Concurrency is essential for building scalable network applications, and Python offers several ways to achieve it. In this session ...

Discover how YDB leverages the Model Context Protocol (MCP) to bridge AI models with database systems. This session delves ...

Lightning talks are short presentations, limited to 5 minutes, on any topic that might interest the Python community. *Read more* ...

When you let multiple AI agents collaborate, things can get powerful—and messy. How do you decide what each agent should ...

Speakers* : Shakthi Kannan *Read more* : https://in.pycon.org/2025/program/schedule/ Copyright © 2025 PyCon India. Licensed ...

Python is often criticized for its Global Interpreter Lock (GIL), which is seen as a bottleneck for high-performance computing.

Discover how Algorand is revolutionizing blockchain development with Algorand Python for building smart contracts. This session ...

Speakers* : Katharine Jarmul *Read more* : https://in.pycon.org/2025/program/schedule/ Copyright © 2025 PyCon India.

Multi-agent systems are gaining traction across various domains due to their ability to adapt and operate in dynamic environments ...

Vibe Coding isn't a new topic. We all know it, seen it or have done it. The idea is to explore the current vibe coding environment ...

After interviewing hundreds of Python developers over the years, I noticed a recurring pattern: many candidates can use Python, ...

What do you do when a Sev1 performance fire alarm goes off in your Python application? Suddenly, we're tasked with debugging ...

Python's GIL (Global Interpreter Lock), while promising thread safety within applications, can be a limiting factor when considering ...

In an era where AI models are evolving rapidly, context is everything. Model Context Protocol (MCP) bridges the gap between ...

Large language models (LLMs) don't always need to be bigger to be better—sometimes, they just need to think more efficiently.

Building efficient RAG chatbots, especially with complex data, presents bottlenecks. This talk shares our use case demonstrating ...

As a developer trying to iterate on SDXL prompts and schedulers, I found script-based tools painful to debug. ComfyUI addresses ...

Technical writers spend countless hours manually editing content to align with organizational style guides. What if an AI could do ...