Python Day Schedule

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The talk has two parts, show and tell what happened or happening in our world by the use of technology, the same technology we, the people in this room create. And also to tell you all that together we have the power to change this. **We can show solidarity to other human beings and groups** and fight back to evil and morally wrong technology decisions.

Code review is central part of everyday developer job. The motivation to create this talk was a quote: “The most important superpower of a developer is complaining about everybody else's code”. In this talk I’ll explain my approach to better code review.

Architecture as Code (AaC) was born for prototyping a new system architecture design without any design tools. Available tools currently support on-premise and main major providers including AWS, Azure, and GCP cloud platforms.

Python has emerged as a versatile tool for 3D computer graphics, offering powerful capabilities in modeling, animation, and simulation. This presentation explores the application of Python in creating dynamic and visually engaging 3D graphics using Blender. The session will showcase practical examples that demonstrate Python's potential in various aspects of 3D graphics

The batch mechanism is challenging when handling continuous data migration with DataProc. However, I'm introducing a new approach for continuous data pipelines enabled by PySpark. The participants will learn new methods to handle data consistency and reserve data completeness in a million-scale migration from SQL database into NoSQL, MongoDB.

Struggling with slow I/O in your Django apps? Want to maximize server resources? This talk explores asynchronous Python and its impact on Django. Let's clarify parallel vs. concurrent programming, and demystify Python's concurrency model, focusing on coroutines and the event loop. Learn how asyncio enables efficient, non-blocking code, handling concurrent requests without thread/process overhead and how everything is integrated into the Django framework.

Explore the transformative journey of Python's Global Interpreter Lock (GIL). Delve into the GIL's origins, its role in Python's growth, and its challenges for multicore processing in development. Let's discover the implications of its experimental removal in Python 3.13.1, and how this shift might redefine concurrency, performance, and the future landscape of Python applications across various domains

Let us build on examples from NumPy, pandas, and Matplotlib to explore techniques and tools with the Sphinx documentation generator. Learn how to implement styles, include advanced elements, and overcome challenges in creating clear, maintainable docs. 📑✨

Can you imagine a python project without any return? Is it overhead or memory saving? Is it complicated or would it reduce complexity? Is it testable or a horror for unittesting?

"Trusted publishing" is the term for using the OpenID Connect (OIDC) standard in the Python Ecosystem to release on PyPI. In this talk will go though the usage of trusted publishing in any Python project and how it helped Ansible project to open up release management to the community. This talk is a deep dive explanation of release practicalities of releasing Ansible using trusted publishing.

If you work with web services, you’re probably using containers… and you’re also probably not doing it as well as you could. In this talk, we’ll go over best practices for container images to produce lightweight, safe and modular containers for quick and efficient builds.

The Creator Developer Economy offers developers the chance to turn their skills into a passive income stream. In this talk, I’ll explore how developers can leverage Apify's tools to build, deploy, and monetize web scraping solutions. From using Crawlee for Python to create efficient scrapers to publishing and earning.

The new version of Django has several important features that allow us to avoid installing additional modules. Libraries like DRF, yasg, spectacular have always been recommended for REST API development. Now the rules have changed.

Business specifications are often vague or incomplete, making development challenging. Acceptance Test-Driven Development (ATDD) bridges this gap with clear, executable specifications. This talk explores how Robot Framework enhances collaboration between business and development teams. Through practical examples, we’ll show how to write effective tests and extend Robot Framework with custom Python libraries. Gain insights and tools to improve communication, development, and software delivery.

Discover how Protobuf can transform your REST API's schema evolution, while offering performance gains over JSON. This session covers Protobuf's strong versioning, ensuring seamless API updates without breaking clients. We'll tackle the challenges we faced at KAYAK, like the learning curve and integration complexity, offering strategies to address them. Gain practical insights and benchmarks as we discuss integrating Protobuf with Python frameworks, boosting your API's efficiency and adaptability.

Programming is for a large about removing repetition and finding abstractions that achieve that. But is that always sensible? Using the power of music we will examine how universal DRY really is.

After creating a great web app using Python such as with flask, the next hurdle to production is how to make it available to users and operate it. And not just your app, but also ingress, the database, observability and the list goes on. We will go through your options for simplifying the operations of your web app using open source tooling. This will include using k8s directly with helm charts, PaaS using fly.io and new tooling developed by Canonical using juju. By the end of the talk you will have seen th

Coding aesthetics, in this context, refers to how code is written. It is essential that programmers also pay attention to the aesthetics and not just the functionality the code aims to achieve. This talk explores several ways to make Python code aesthetically pleasing, such as code refactoring, using static code analysis tools like PyLint to check compliance with PEP8 guidelines, and applying syntactic sugar. In addition, we will discuss the limitations of PEP8 and how we can make more pragmatic choices.

Virtual environments are a fundamental part of Python development, but to most developers, they’re largely a ‘black box’. In this talk, we’re gonna dissect the code, file structure and utilities that make them up to deeply learn, and not just have superficial knowledge of, how venvs actually work.

The modern Python programmer spends little time thinking about the classic ‘design patterns’ from the 1990s. Why? Is it because they are outdated and irrelevant? Or because they are now built into our languages and tools, so we don’t have to worry about them any more? In this talk we will explore the awkward fit of design patterns between the full-blown work of architecture and the small details of actual coding, and rank the old design patterns to see if any are still worthy of attention.