PyCon Israel 2022

In this panel, we will ask industry leaders about their python strategy and usage patterns

What if you could take your Python coding skills and use it to affect the physical world around you? Circuit Playground boards allow you to do just that, and in this talk you’ll see how you can turn on the lights using the Python you already know.

Running millions of tasks is difficult when dealing with high workload variance. We improved our pipeline efficiency by using ML models to classify task requirements and dynamically allocate the necessary system resources.

Have you ever written a simple function, and added it to your pipeline only to discover it is WAY slower than it should be? In this talk, I will demonstrate how to sniff out functions that slow down your pipeline and be proactive about speeding up

Linters are a great tool that enable developers to create static analysis rules for their code base, and the most popular one in the Python ecosystem is Pylint - and this talk will walk through some of its advanced features

asyncio, Python's concurrent I/O library, can power very-high-performance applications. Come and hear the story of how we were able to replace a legacy service cluster with a single asyncio-powered instance, and how you can do it too.

Hello wait you talk see to can’t my!
Sounds weird? Detecting abnormal sequences is a common problem.
Join my talk to see how this problem involves Bert, Word2vec & Autoencoders (in python), and how you can apply it to information security problems

Join us to learn how to use large language models to solve NLP tasks. Via live coding, we'll demonstrate how to use Few Shot Learning together with Multi-armed Bandit, to tackle the boolean question answering task.

Property based tests are a pragmatic way to write better tests with less work.

In this talk, we’ll introduce property based tests and show how they can help you in real-world use-cases.

We all "import" modules . But how does Python find and load modules, and making their definitions available? The answer is surprisingly complex. This talk walks you through the world of module importation, from load path, to finders and loaders.

Rapid development of complex algorithms requires an agile management. This talk will demonstrate how we leverage Python flexibility and DAGs power to enable a flexible algorithm development process with high quality and minimal risk at each stage.

This session might give you the tools to get started with Python and GPT-3.

Does your service architecture slow you down? Instead of enabling rapid and frequent deliveries? If you have found yourself in this situation, you will benefit from hearing about our journey towards an efficient repository structure.

Communicating and persisting data (and state!) is at the very core of software engineering. That’s where serialization comes in - but getting it right can be quite the challenge. Here's how to make it less so.

Wordle is an online word game that has gone viral with millions of daily players world-wide. We will consider strategies based on information theory and reinforcement learning, allowing the creation of agents outperforming most human Wordle players.

Applications today are giant meshes of services and interconnected APIs. However, there isn’t a standardized, systematic way to integrate them. In this talk, we'll cover the patterns of working with 3rd party integrations.

How we map continents at cm level accuracy from crowd sourced computer vision data using PySpark.
A tale of engineering challenges working with python at huge scale in production with a rapidly evolving development effort.

The Python eco-system and community made a lot of progress in terms of security and security awareness, but common OWASP top 10 mistakes still happen in the real world.

A short walk through the challenge of finding the fastest NumPy algorithm/way for solving the 8 Queens puzzle. During this walkthrough I will explain the different solutions, the NumPy APIs I’ve been using and their underlying implementation.

>>> 1,1 == 1,1
1, True, 1

This bug led me into a rabbit hole of learning the internals of python's interpreter. This is a story of how python 3.10's structural pattern matching feature changed the way I write code completely

Being able to classify images is at the heart of many recommender systems. In this talk, we will share a simple trick to make the task of building an image classifier as easy as building a standard text classifier.

We pip install packages all day long, but did you consider where it is coming from?

When long running jobs are too long running jobs, profilers help us understand where it is that our code spends its time. I present a technique for manually guided profiling for cases the automatic tools cant' help.

TBD

In this talk, you will learn about the concept and benefits of tracing by examining the open-source project OpenTelemetry. You will leave this session knowing how to set up OpenTelemetry to get better visibility and troubleshoot your system faster.

Python is known to be expensive in Memory and CPU. However, it does not mean you can't do anything about it.
In this talk, we'll learn about Python's memory management, and what you can do today to improve the performance of your Python program.

An enriching talk about music theory and analysis using python tools.

Using Python's awesome features and important design principles for safe legacy code refactoring while maintaining a healthy production environment

Signing in to Twitter using Google, or saving files from an app to the cloud are different applications of auth flows. This talk will show how it works and focus on integrating a flask app with identity providers by applying the relevant flow.

A plan is what, a schedule is when .it takes both a plan and a schedule to get things done” - Peter Turla.

Do you ever use data classes in your project? Need to store these data structures for later use?
In our talk, we will present how to do it in Python. We will focus on Pydantic and will show the correct way to do it for complex data structures.

Securing Infrastructure-as-code configurations is a key requirement in a cloud production system. We will cover how the networkx library is leveraged to represent cloud resources as a DAG, and how it enhances the misconfigurations scanning process.

The Python interpreter plays a critical role in controlling the performance of your code, using a vast variety of optimizations & fast paths for common code patterns and idioms. This talk will walk you through how it can break or worsen performance.

In this talk we'll discuss the finer points of working with JSON. We'll cover custom serialization, validation, and shine some lights at some darker corners.

A step-by-step introduction to purchase prediction. Also applicable to survival analysis and churn prediction. Including implementation in PySpark.

What happens when you develop a Python debugger and the latest Python version breaks it? We’ll go through the process of debugging a Python debugger and the methods we used to solve it efficiently.

Concurrency in web applications is hard to identify and debug, and very easy to get wrong! In this talk I'm going to present common concurrency issues and suggest ways to identify and prevent them!

With the increasing complexity of modern Python applications and the high cost of running them in the cloud––the need for profiling solutions rises. However, current solutions often times fall short.

Nobody cares about your algorithm, learn how to communicate model insights.

Arduino microcontrollers can be used for numerous and versatile home-based functions. Want to learn what you can do and how to get started coding Arduino in Python? There’s a low cost of entry, and the possibilities are endless.

We mostly hear about concurrency as a more performant replacement for threads or multi-processing.
But the hidden gem of concurrent programming is how sane concurrent code, and how easy it is to reason about shared state.

Taking the Django traditional groups and permissions to the next level by adding layer and using an access endpoint pattern approach to provide scalability, flexibility and a wider control of authenticated user's access.

Always wanted to have your own surveillance state but didn't know where to start?

In this talk we'll cover the first steps on doing face detection and recognition - in Python!

Formal verification (FV) can prove the correctness of algorithms and systems and so ensure safety. Since FV tools are not easy to use, we will show examples (from the RL domain) of how executing them via Python could be very useful and friendly-user.

Python is dynamically typed. While awesome, even simple statements in a single line can cause series headaches. Running var['python']['3']['11']['a'] produced TypeError: 'NoneType' .. error. Impossible to debug from the Traceback, until 3.11..

Python remains a very popular programming and scripting language in the DevOps ecosystem for building CI/CD pipelines. In the same way we think about how we design and build our Python applications, we need to design, build and automate security.

Transformer-based models have been producing superior results on various NLP tasks. In this talk, we’ll cover the new transformer-based NLP pipelines featured by SpaCy, and how to apply multi-task learning for improved efficiency and accuracy.

Startups choose python because it helps you to set up your application very quickly, but after a few months, it can get really messy. This is the story of how we in Databand managed to extract good backend guidelines with Python out of our monolith.

Murphy’s Law states that if anything can go wrong it will -- and this is particularly true in data science. Based on personal experience, I describe how to create an effective model despite data pitfalls, methodological hazards and hidden bugs.

I'd like to share the findings from my research where I looked into python packages that wrap vulnerable C code and ship vulnerabilities to the unaware developers
Attackers aware of such libs may abuse these components without the developers knowing