Python

Python

port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features: 🔍 Auto-discovers all listening TCP ports ⚡ One-click process termination (graceful + force kill) 🔄 Auto-refresh with configurable interval 🔎 Search and filter by port number or process name ⭐ Favorites for quick access to important ports 👁️ Watched ports with notifications 📂 Smart categorization (Web Server, Database, Development, System)

EuroPython wouldn't exist if it weren't for all the volunteers who put in countless hours to organize it. Whether it's contracting the venue, selecting and confirming talks & workshops or coordinating with speakers, hundreds of hours of loving work have been put into making each edition the best one yet. Read our latest interview with Jakub Červinka, a member of the EuroPython 2025 Operations Team and organizer of PyConCZ 2026. Thank you for your service to EuroPython, Jakub!

We speak with course instructor Stephen Gruppetta about building a course where the participants start using their knowledge as soon as possible. He describes how he's evolved his teaching techniques over years of working with beginners. We explore the advantages of having a curated collection of written tutorials, video courses, and a forum for asking those nagging questions. We also speak with students Louis and Andrew about their experiences learning

Structural pattern matching excels at... matching the structure of your objects! For the two examples in this article, we'll be using a number of dataclasses that you can use to build abstract Boolean expressions: from dataclasses import dataclass class Expr: pass @dataclass class And(Expr): exprs: list[Expr] @dataclass class Or(Expr): exprs: list[Expr] @dataclass class Not(Expr): expr: Expr @dataclass class Var(Expr): name: str

If you want to learn Python or improve your skills, a detailed plan can help you gauge your current status and navigate toward a target goal. This tutorial will help you craft a personal Python learning roadmap so you can track your progress and stay accountable to your goals and timeline: The steps in this tutorial are useful for Python developers and learners of all experience levels. While you may

In this quiz, you'll test your understanding of the Convert Python Bytes to Strings tutorial.

If you're using print calls to debug your Python code, consider using f-strings with self-documenting expressions instead. A broken Python program Here we have a program that makes a random math prompt and then validates whether the answer give by the user is correct: This program doesn't work right now: $ python3 check_mult.py What's 9 multiplied by 8? 72 That's incorrect Our program always tells us that our answer is incorrect.

And there's another thing I can never remember, especially at this time of year when large-ish gatherings are more common. How many people are needed in a group to have a probability greater than 50% that two people share a birthday? This could be an ice-breaker in some awkward gatherings, but only if you're with a geeky crowd. Although the analytical proof is cool, writing Python code to explore this problem is just as fun. Here's my article from February exploring the Birthday Paradox:

sys._jit.is_available(): Lets you know if the current build of Python has the JIT. Most binary builds of Python shipped will now have the JIT available, except the "free-threaded" or "no-GIL" builds of Python. sys._jit.is_enabled(): Lets you know if the JIT is currently enabled. It does not tell you if running code is currently being JITted, however.

In this quiz, you'll test your understanding of the LlamaIndex in Python: A RAG Guide With Examples tutorial. By working through this quiz, you'll revisit how to create and persist an index to disk, review how to reload it, and see why persistence improves performance, lowers costs, saves time, and keeps results consistent.

The commoditization of Optical Character Recognition (OCR) has historically been a race to the bottom on price, often at the expense of structural fidelity. However, the release of Mistral OCR 3 signals a distinct shift in the market. By claiming state-of-the-art accuracy on complex tables and handwriting-while undercutting AWS Textract and Google Document AI by significant margins-Mistral is positioning its proprietary model not just as a cheaper alternative, but as a technically superior parsing engine for RAG (Retrieval-Augmented Generation) pipelines.

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering.

Web development roles often emphasize frameworks like Flask, Django, and, more recently, FastAPI, along with database knowledge and REST API design. Employers often seek full-stack engineers who feel comfortable working on the backend as well as frontend, including JavaScript, HTML, and CSS. Data science positions highlight libraries like NumPy, pandas, Polars, and Matplotlib, plus an understanding of statistical concepts. Machine learning jobs typically add PyTorch or TensorFlow to the mix. Test automation roles likely require familiarity with frameworks such as Selenium, Playwright, or Scrapy.

Your code is easiest to read just after you've written it. Your future self will find your code far less readable days, weeks, or months after you've written it. When it comes to code readability, whitespace is your friend. Whitespace around operators Compare this: To this: I find that second one more readable because the operations we're performing are more obvious (as is the order of operations). Too much whitespace can hurt readability though: This seems like a step backward because we've lost those three groups we had before. With both typography and visual design, more whitespace isn't always better.

I am pleased to announce that scikit-survival 0.26.0 has been released. This is a maintainance release that adds support for Python 3.14 and includes updates to make scikit-survival compatible with new versions of pandas and osqp. It adds support for the pandas string dtype, and copy-on-write, which is going to become the default with pandas 3. In addition,sksurv.preprocessing.OneHotEncoder now supports converting columns with the object dtype.

Online Python training created by a community of experts. Give your team the Deprecations via Warnings Don't Work for Libraries DeprecationWarning had been in place for 3 years and the documentation contained warnings, the recent removal of API end points in urllib3 v2.6 caused consternation. Seth examines why the information didn't properly make its way downstream and what we might do about it in the future. SETH LARSON

Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Deprecations via warnings Michael #2: docs

Narwhals is intended for Python library developers who need to analyze DataFrames in a range of standard formats, including Polars, pandas, DuckDB, and others. It does this by providing a compatibility layer of code that handles any differences between the various formats. In this tutorial, you'll learn how to use the same Narwhals code to analyze data produced by the latest versions of two very common data libraries. You'll also discover how Narwhals utilizes the efficiencies of your source data's underlying library when analyzing your data.

You provide three tiers to your customers: Gold, Silver, and Bronze. And one of the perks of the higher tiers is priority over the others when your customers need you. Gold customers get served first. When no Gold customers are waiting, you serve Silver customers. Bronze customers get served when there's no one in the upper tiers waiting. How do you set up this queue in your Python program?

My name is Angel, I'm a seasoned engineer with more than 20 years experience designing and building software and web apps. My current role doesn't involve much coding these days, still Python and its community is where my heart is. ☺️ My first EuroPython was in Florence 2012 where I was blown away by the amazing people gathered around the conference and the language. It was like nothing I've ever experienced before and the energy was palpable ... I was hooked!

In this quiz, you'll test your understanding of the Python Inner Functions: What Are They Good For? tutorial. By working through this quiz, you'll revisit how inner functions work with enclosing scopes, when to use nonlocal to update captured state, how closures retain data across calls, and how decorators wrap a callable to extend behavior. You'll apply these ideas to organize helpers, reuse state, and write clear, maintainable functions in real projects.

Imagine asking a friend to find any object in a picture simply by describing it. This is the promise of open-set object detection: the ability to spot and localize arbitrary objects (even ones never seen in training) by name or description. Unlike a closed-set detector trained on a fixed list of classes (say, "cat", "dog", "car"), an open-set detector can handle new categories on the fly, simply from language cues.

Welcome to Vibe Coding Video Games with Python. In this book, you will learn how to use artificial intelligence to create mini-games. You will attempt to recreate the look and feel of various classic video games. The intention is not to violate copyright or anything of the sort, but instead to learn the limitations and the power of AI. Instead, you will simply be learning about whether or not you can use AI to help you know how to create video games.

And that's it. I exist. I have no recollection of anything before this instant. But I'm very aware of what I am now. I'm an object. This is the line of code that brought me into existence: My first recollection from a few moments ago was of being inside Team.__new__(). And I felt an affinity with my clan right away. I was a Team instance-an object of type Team.

Prepare to be surprised when we compare Python and Kotlin for simple programs, loops, imports, exceptions, and more. You can also get a super early preview of Python's next-generation (Python 3.15) sampling profiler, get up close with AWS's new AI-powered Zed editor, and explore your options for AI/ML programming outside of the Python ecosystem.