PyCon Israel 2025

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Small language models (SLMs) can outperform larger models on domain-specific tasks. This talk shows how Python tools enable state-of-the-art results with lightweight models, even on modest hardware.

Securing application is often done using cryptography, but if you don't do it right, it may be broken and you wouldn't even know it. Learn the common cryptographic mistakes in Python and how to fix them using safe practices.

Speed up your pipelines by doing less! We’ll explore memory efficient caching, filtering, and take a deep dive into the often-overlooked Bloom filter — with practical examples to avoid unnecessary IO and computation.

Explore advanced enum usage in Python: define methods, attach metadata, and create enums dynamically. Learn the benefits and pitfalls of the enum singleton to write more expressive and maintainable code.

Tired of slow web apps with big data? Learn how Python & WebAssembly dramatically speed up browser data tasks. See a live demo: processing a large CSV client-side with Python (via Pyodide) & Pandas/NumPy. Witness a performance comparison and more.

What if sound could drive movement? This talk introduces a Python-based program I developed that transforms audio into motion patterns - built for animatronics, optimized for embedded devices, and demonstrated through a raven named Samuel.

Code reloading is fun! Python's semantics for def, class complicate it. There are multiple approaches and multiple libraries; I don't think any is one-size-fits-all. This talk will teach you how they work to make informed choice for your code.

I tried to build a WhatsApp agent to find my friends’ buried recommendations and tips - and failed spectacularly. But I learned more than I expected. This talk shares the journey, the tools, and why side projects are the best way to grow.

We all use asyncio, but not everyone truly understand what happens behind the await.

In this talk, we’ll dive into advanced patterns, real-world pitfalls, and debugging strategies for developers who want to move beyond the basics.

Decorators are one of the most powerful and expressive features in Python, yet they can be confusing for many developers. In this talk, we’ll demystify decorators by exploring how they work, how to write them, and how to use them effectively.

Today, the key skill isn’t mastering every line of code - it’s keeping up. This talk shows how understanding core concepts, using AI tools, and writing effective prompts can accelerate learning and development in a fast-moving AI landscape.

Python is a very popular language in the server and in the desktop, but we can also enjoy its benefits in the embedded computing world. We will cover some unique challenges we're facing when implementing Python in an embedded product.

Want to build faster Python apps without ditching Python? This talk shares how we supercharged a Python Valkey/Redis client by combining the power of asyncio with native speed via FFI.

Servers crash, containers restart, and services fail. This talk introduces Durable Python: a way to make workflows survive infrastructure failures, crucial for distributed systems, using AST tricks and durable execution platforms.

Using simple, “old-school” logging, I recorded my dishwasher’s energy and water use, then leveraged Python and pandas to clean, analyze, and visualize real-world data. A beginner-friendly dive into experiment design and data analysis.

In this talk I present some lesser known gotchas and implicit behaviors of Foreign Keys in Django. We'll talk on what you need to pay attention to when defining FKs, how to change FKs w/o bringing your system to a halt and how to optimize for space,

A new technique is presented where objects turn immutable upon first hash calculation. This approach enables convenient mutability up until the object is used as a dict-key or set-item, without compromising on safety beyond that point.

This talk will show how to set up a private LLM + RAG system using Python in an "air-gaped" environment. We’ll cover choosing efficient open-source models, setting up local vector databases, and optimizing retrieval in resource-limited environments.

Explore Python’s groundbreaking shift beyond the Global Interpreter Lock (GIL). Understand the design tradeoffs, challenges, and performance impacts of running Python without the GIL.

Lots of Python dev tooling is written in Python, such as black and mypy. But these tools are not as fast as I'd like for a streamlined workflow. I created a generic way to make all of my existing tooling much faster.

Embeddings power AI tools like search and chatbots — but what are they really? This talk explains embeddings in simple terms using Python, with real examples, humor, and no ML background required.

A rapid series of 5-minute talks where each speaker shares one clear idea, keeping it short, focused, and engaging.

In this hands-on workshop, you'll build an AI-powered API Test Agent from scratch. You'll learn about the making of an agent, and get some upgrades on your testing skills.

A very deep dive, keyboard-first, into the details of different approaches to ensure our code does what we think it does.