# Python Python is a programming language that lets you work quickly and integrate systems more effectively. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Itential's Agentic Platform for Enterprise Network Automation and Orchestration DevFeed: [Itential's Agentic Platform for Enterprise Network Automation and Orchestration]() Original publisher: [Read original article]() Author: Roger Perkin Published: 2026-09-18T09:03:07Z Content type: article Language: en Sources: [Roger Perkin Network Automation Consultant]() Topics: [Automation](), [Orchestration](), [Network](), [Artificial Intelligence](), [Access Control](), [Security](), [Ansible](), [Terraform](), [Python](), [Cloud]() Tags: [access-control](), [agentic](), [automation](), [faq](), [infrastructure](), [network](), [orchestration](), [python](), [security](), [terraform]() ### AI overview Itential provides an enterprise platform for building and executing AI agents and deterministic workflows, including Ansible playbooks, Python scripts, and Terraform jobs. Its automation platform connects infrastructure, cloud environments, and IT systems through a unified engine. ### Source excerpt Itential is the Agentic Platform for Enterprise Operations. They make it easy to build and execute agents as well as deterministic workflows, such as Ansible playbooks, Python scripts or Terraform jobs. Itential Automation Platform The Itential Automation Platform is an enterprise-grade network automation and orchestration solution designed to connect multi-domain infrastructure, cloud environments, and IT systems ... ## Week Ending September 13, 2026 DevFeed: [Week Ending September 13, 2026]() Original publisher: [Read original article]() Published: 2026-09-18T06:22:00Z Content type: news Language: en Sources: [Last Week in Kubernetes Development]() Topics: [Kubernetes](), [releases](), [SDKs](), [Go Language](), [Post-Quantum](), [Security](), [TypeScript](), [configuration](), [Python]() Tags: [configuration](), [developer](), [go](), [instrumentation](), [kubernetes](), [news](), [post-quantum](), [release](), [sdks](), [security]() ### AI overview Developer News summarizes Kubernetes project updates for the week ending September 13, 2026, including kubelet static-binary discussions, SIG leadership and subprojects, AI Conformance changes, Agent Sandbox v1.0, the Kubernetes v1.38 release cycle, memory-management configuration, and post-quantum certificate support. ### Source excerpt Developer News ## The official ClickHouse provider for Apache Airflow is now available DevFeed: [The official ClickHouse provider for Apache Airflow is now available]() Original publisher: [Read original article]() Author: Aditya Chidurala; Bentsi Leviav; Alex Francoeur Published: 2026-09-17T18:06:01Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [airflow](), [clickhouse](), [Data pipelines](), [SQL](), [Python](), [Open Source]() Tags: [airflow](), [clickhouse](), [data-pipelines](), [integration](), [python](), [release](), [sql]() ### AI overview ClickHouse has released an officially maintained Apache Airflow provider for orchestrating ClickHouse data workflows. The provider uses ClickHouse Connect over HTTP(S), supports Airflow's common SQL operators, and includes a hook for bulk and client-specific operations. ### Source excerpt The official ClickHouse provider for Apache Airflow simplifies data workflows with standard SQL operators, bulk inserts, and shared setup across self-managed Airflow and Astronomer. ## Write End-to-End Tests in Your Backend's Language DevFeed: [Write End-to-End Tests in Your Backend's Language]() Original publisher: [Read original article]() Author: James McConkey Published: 2026-09-17T12:00:42Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Testing](), [Playwright](), [FastAPI](), [Python](), [test data](), [Pydantic](), [SQLAlchemy](), [ASP.NET Core](), [PostgreSQL](), [Docker Compose]() Tags: [asp-net-core](), [code](), [data](), [docker-compose](), [fastapi](), [playwright](), [postgresql](), [project-team-management](), [python](), [sqlalchemy](), [tests](), [the-software-life]() ### AI overview This article argues that end-to-end test-data setup is often the main design challenge, because tests must create consistent domain records while running alongside other tests. It recommends using browser-testing tools in the backend's language when possible, keeping meaningful relationships inline, and extracting small creation helpers without hiding scenario intent. ### Source excerpt The browser is often the easiest part of an end-to-end test. Consider a test that verifies a user can complete an overdue task. The visible interaction is small: sign in, find the task, click Complete, and observe the new status. Before any of that can happen, the test needs a workspace, a user, a project, and [...] The post Write End-to-End Tests in Your Backend's Language appeared first on Atomic Spin. ## Релиз OpenIDE 2026.2: одна IDE для Java, Kotlin, Go, Python и веб-разработки DevFeed: [Релиз OpenIDE 2026.2: одна IDE для Java, Kotlin, Go, Python и веб-разработки]() Original publisher: [Read original article]() Author: honest\_niceman (Haulmont) Published: 2026-09-17T09:12:16Z Content type: release Language: ru Sources: [Tagir Valeev]() Topics: [intellij-platform](), [Java](), [Git](), [Kotlin](), [Gradle](), [Databases](), [Docker](), [Go](), [Python](), [SQL](), [JSON]() Tags: [2](), [2026](), [2026-2](), [compose](), [db-eaa4bca15522](), [docker](), [docker-bdf52bf499c4](), [git](), [go](), [gradle](), [ide-1f5689fe989b](), [ide-af948443b041](), [ide-java-0ad4946a0e57](), [intellij-idea-27f15aabb340](), [intellij-platform](), [java](), [javascript](), [json](), [kotlin](), [openide](), [openide-2026-2](), [openide-pro](), [oracle](), [sql](), [structure]() ### AI overview OpenIDE 2026.2 updates its base platform, expands Java and Kotlin support, improves Git and Gradle workflows, and updates its Java profiler. The release also includes improvements to the DB client and Docker plugin, including SQL formatting, Greenplum support, JSON highlighting, and enhanced Compose service management. ### Source excerpt Обновили базовую платформу до версии 2026.2, расширили поддержку Java и Kotlin, улучшили работу с Git и обновили Java-профилировщик. Доработали редактор и подсказки в терминале, добавили проверки настроек Gradle и упростили переход к исходникам библиотек. Через Git worktrees теперь можно работать с несколькими ветками одновременно. Читать далее ## PDFx - Extract references and metadata from PDF documents, and download all referenced PDFs DevFeed: [PDFx - Extract references and metadata from PDF documents, and download all referenced PDFs]() Original publisher: [Read original article]() Author: Chris Hager Published: 2026-09-17T02:48:44.791916Z Content type: tutorial Language: en Sources: [Chris Hager]() Topics: [pdf](), [Python](), [Command-line interface](), [JSON](), [pip](), [Open Source](), [GitHub]() Tags: [apache](), [broken-links](), [command-line](), [download](), [github](), [install](), [json](), [library](), [open-source](), [pdf](), [python]() ### AI overview PDFx is an Apache-licensed open-source tool that extracts references and metadata from PDF documents. It detects PDF, URL, arXiv, and DOI references, can download referenced PDFs in parallel, identify broken hyperlinks, extract PDF text, and output results as text or JSON. It is available as a command-line tool and Python package, with support for local and online PDFs. ### Source excerpt Reading over this paper and its references recently, I thought it would be great to be able to download all the references at once... This inspired me to write a little tool to do just that, and now it's done and released under the Apache open source license: https://github.com/metachris/pdfx Features Extract references and metadata from a given PDF Detects pdf, url, arxiv and doi references Fast, parallel download of all referenced PDFs Find broken hyperlinks (using the -c flag) (more) Output as text or JSON (using the -j flag) Extract the PDF text (using the --text flag) Use as command-line tool or Python package Compatible with Python 2 and 3 Works with local and online pdfs Getting Started Grab a copy of pdfx with easy_install or pip and run it: ## Adafruit's New CircuitPython 'Turbo' Brings Native Code To Tiny Boards DevFeed: [Adafruit's New CircuitPython 'Turbo' Brings Native Code To Tiny Boards]() Original publisher: [Read original article]() Author: EditorDavid Published: 2026-09-17T02:34:00Z Content type: news Language: en Sources: [Slashdot]() Topics: [CircuitPython](), [Microcontroller](), [MicroPython](), [Python](), [Compiler](), [Hardware](), [Open Source]() Tags: [benchmarks](), [circuitpython](), [code](), [compiler](), [examples](), [hardware](), [micropython](), [open-hardware](), [opensource](), [optimized](), [programming](), [programming-language](), [python]() ### AI overview Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code for compatible microcontroller boards while leaving the rest of an application in Python. In a documented Mandelbrot benchmark, the compiled computation ran 19.71 times faster than bytecode, though the result applies to the measured computation rather than the whole application. ### Source excerpt Targeting students and beginners, Adafruit released "CircuitPython" in 2017 (as a derivative of the MicroPython microcontroller-optimized programming language). Now Adafruit managing director Phillip Torrone (also long-time Slashdot reader ptorrone) brings this update: Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code on a computer, then loads them onto compatible microcontroller boards. It builds on MicroPython's Native and Viper emitters. In a documented Metro RP2040 fixed-point Mandelbrot test, Viper cut computation time from 8.335 seconds to 0.423 seconds, a 19.71x speedup over bytecode. The rest of the application stays in Python. The guide includes benchmarks, source code and hardware demos. The speedup is for the measured computation, not the whole application. "Turbo support is now included in the latest official CircuitPython builds for RP2040 and RP2350 boards..." explains Torrone's announcement at Adafruit.com. "The new Turbo in CircuitPython helps when the board spends time calculating: making neopixel effects, drawing fractals, processing audio, filtering sensor readings, or preparing lots of pixels. Those projects can get smoother animation, quicker responses, or room to do more things at once." With Turbo, it's easier, better, and now even faster to make LED light up costumes that also reacts to sound at the same time, a sensor dashboard with animated graphics, or a tiny game doing physics while drawing the screen. Turbo speeds up the busy Python parts. It won't make a slow sensor or display connection faster... Your computer turns selected functions into instructions the chip can run directly. Python still handles the rest. We have measured speedups, real display captures, and examples you can pull apart to see what happened. None of this arrived alone. CircuitPython, MicroPython, PyMCU, compiler tools, open hardware, and people sharing their work gave us pieces to connect. The Bao ## Learn How to Deploy, Secure, and Automate Full-Stack Web Apps DevFeed: [Learn How to Deploy, Secure, and Automate Full-Stack Web Apps]() Original publisher: [Read original article]() Author: Beau Carnes Published: 2026-09-16T15:28:18Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [web applications](), [Deployment](), [CI/CD](), [FastAPI](), [GitHub Actions](), [Vue.js](), [nginx](), [firewalls](), [Python](), [Cloudflare](), [SSL](), [Ubuntu]() Tags: [analysis](), [authentication](), [ci-cd](), [deploy](), [fastapi](), [full-stack](), [github-actions](), [how-to](), [web](), [web-apps](), [youtube]() ### AI overview This article introduces an 11-hour freeCodeCamp course on deploying, securing, and automating a Vue.js and FastAPI web application. It covers Ubuntu server setup, SSH hardening, firewalls, application runtimes, Meilisearch, DNS, SSL, Nginx, Cloudflare, GitHub Actions, security testing, and observability. ### Source excerpt Taking a web application from local development to a live, secure production environment can be daunting if you've never looked under the hood. We just published a comprehensive course on the freeCode ## How to Review AI-Generated Python Code Efficiently DevFeed: [How to Review AI-Generated Python Code Efficiently]() Original publisher: [Read original article]() Author: Leodanis Pozo Ramos Published: 2026-09-16T14:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [AI-assisted coding](), [Code review](), [Python](), [Pytest](), [coding]() Tags: [agents](), [ai](), [ai-coding-agents](), [code](), [coding-agents](), [how-to](), [python](), [review]() ### AI overview This tutorial presents a five-step workflow for reviewing AI-generated Python code. It recommends clarifying the code's intent, running automated checks such as ruff, mypy, bandit, and pytest, inspecting higher-risk areas, and confirming problems by running the code before fixing them. ### Source excerpt Learn an efficient workflow to review AI-generated code in Python: run ruff, mypy, bandit, and pytest, then catch the bugs agents get wrong. ## Security updates for Wednesday DevFeed: [Security updates for Wednesday]() Original publisher: [Read original article]() Author: corbet Published: 2026-09-16T13:40:53Z Content type: news Language: en Sources: [LWN.net]() Topics: [Security](), [Linux](), [nginx](), [openssl](), [Python](), [OpenSSH]() Tags: [debian](), [linux](), [nginx](), [openssh](), [openssl](), [python](), [security](), [updates]() ### AI overview Security updates were issued by AlmaLinux, Debian, Fedora, Oracle, Red Hat, SUSE, and Ubuntu for packages including kernels, nginx, OpenSSL, Python, Perl, Git, Docker, OpenSSH, and other software. ### Source excerpt Security updates have been issued by AlmaLinux (kernel, kernel-rt, libkcapi, nginx, nginx:1.24, openssl, osbuild-composer, perl, perl:5.32, python-tornado, rsync, and rust), Debian (cjose and nginx), Fedora (environment-modules, erlang, GitPython, knot, perl-Authen-SASL, python-configargparse, ruby, rubygems, and sblim-sfcb), Oracle (firefox, git-lfs, gstreamer1-plugins-base, kernel, libkcapi, nginx, nginx:1.26, openssl, osbuild-composer, perl, perl-YAML-Syck, postgresql18, python-tornado, and rust), Red Hat (fence-agents, git-lfs, microcode_ctl, osbuild-composer, podman, python-pyasn1, and resource-agents), SUSE (389-ds, ant, bson-devel, chirp-20260911, docker, gimp, google-cloud-sap-agent, hauler, kernel, kimi-code, libpcap, python-GitPython, python310, syncthing, yast2-samba-client, and zstd-jni), and Ubuntu (aom, imagemagick, kitty, openssh, phpseclib, policykit-1, python-sql, python-webob, shibboleth-sp, simplesamlphp, snapcast, srt, and suricata-update). ## Quiz: Python's Mutable vs Immutable Types: What's the Difference? DevFeed: [Quiz: Python's Mutable vs Immutable Types: What's the Difference?]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-16T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Python](), [gotchas]() Tags: [gotchas](), [python](), [test](), [tutorial]() ### AI overview An interactive 12-question quiz tests understanding of Python's mutable and immutable types, including built-in type categories and common mutability issues such as variable aliasing, mutable default arguments, and shallow copies. ### Source excerpt Find out how Python's mutable and immutable types behave, and see how mutability shapes lists, tuples, dictionaries, and your own classes. ## Slicker: A Tool for Moving Things in Python DevFeed: [Slicker: A Tool for Moving Things in Python]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-04-02T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Python](), [Refactoring](), [Tool](), [PyCharm]() Tags: [bug](), [code](), [engineering](), [infrastructure](), [news](), [pycharm](), [python](), [refactoring](), [tool]() ### AI overview This article explains why Khan Academy built Slicker, a tool for moving thousands of Python files, classes, and functions while updating references and imports. It also describes limitations the authors encountered with PyCharm's refactoring tools. ### Source excerpt By Ben Kraft Craig talked last post about our project to reorganize our whole Python codebase. This entails ... Read more ## Using static analysis in Python, JavaScript and more to make your system safer DevFeed: [Using static analysis in Python, JavaScript and more to make your system safer]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-07-26T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [JavaScript](), [Code quality](), [Python](), [Code review](), [Web Development](), [React]() Tags: [analysis](), [best-practices](), [code](), [code-quality](), [engineering](), [eslint](), [formatting](), [frontend](), [infrastructure](), [javascript](), [lint](), [news](), [python]() ### AI overview This article describes how Khan Academy uses custom linters and static analysis across JavaScript, Python, and Kotlin to prevent known bad patterns, keep duplicated logic or shared interfaces synchronized, and enforce frontend migration practices. ### Source excerpt By Kevin Dangoor "Linting" source code to look for errors is nothing new (the original "lint" tool turned ... Read more ## The Great Python Refactor of 2017 And Also 2018 DevFeed: [The Great Python Refactor of 2017 And Also 2018]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-03-19T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Python](), [Refactoring](), [Code](), [Development](), [Tool]() Tags: [2017](), [blog-post](), [code](), [dev](), [engineering](), [infrastructure](), [news](), [python](), [refactor](), [refactoring]() ### AI overview This first article in a series describes Khan Academy's 2017-2018 Python refactoring effort. It explains how an overloaded codebase structure developed, the changes made to organize files and directories, and the difficulties of the work. ### Source excerpt By Craig Silverstein Our codebase was a mess. One day, we decided to do something about it: namely, ... Read more ## i18nize-templates: Internationalization After the Fact DevFeed: [i18nize-templates: Internationalization After the Fact]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-09-28T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Internationalization (i18n)](), [Localization (l10n)](), [Open Source](), [Python](), [Handlebars](), [HTML](), [Library](), [Code](), [JavaScript](), [Babel]() Tags: [babel](), [code](), [engineering](), [html](), [infrastructure](), [javascript](), [language](), [languages](), [library](), [news](), [open-source](), [programming](), [python]() ### AI overview Khan Academy describes retrofitting its English-only codebase for internationalization and localization across several HTML-rendering technologies. It introduces i18nize-templates, an open-source Python module that finds natural-language text in HTML and templates and marks it as i18n-aware. The tool supports raw HTML, jinja2, and Handlebars templates and reportedly reduces template annotation time by over 90%. ### Source excerpt By Craig Silverstein Khan Academy started as a collection of videos, but now has over 100,000 pieces of ... Read more ## Kotlin on the server at Khan Academy DevFeed: [Kotlin on the server at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-06-28T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Kotlin](), [backend-development](), [Python](), [Google]() Tags: [api](), [bigquery](), [blog-post](), [developer-experience](), [engineering](), [google](), [http](), [infrastructure](), [java](), [kotlin](), [news](), [python](), [server-side-development]() ### AI overview Khan Academy describes testing Kotlin for user-facing server requests during a 2018 hackathon and deciding to adopt Kotlin as a second server-side language after reporting positive efficiency results and a positive developer experience. ### Source excerpt By Colin Fuller At Khan Academy, we run our web application using Python 2.7 on Google's App Engine ... Read more ## Untangling our Python Code DevFeed: [Untangling our Python Code]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-04-16T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Python](), [Code](), [import]() Tags: [code](), [dependencies](), [dependency](), [engineering](), [infrastructure](), [news](), [organization](), [python](), [refactor](), [structure]() ### AI overview This article explains how Khan Academy addressed tangled dependencies in its Python codebase during its 2017 and 2018 refactoring work. It describes why dependency order matters, the problems caused by circular and poorly organized imports, and the use of package-based rules to guide code organization and detect problematic dependencies. ### Source excerpt By Carter Bastian The previous posts about The Great Khan Academy Python Refactor of 2017 and Also 2018 ... Read more ## Go + Services = One Goliath Project DevFeed: [Go + Services = One Goliath Project]() Original publisher: [Read original article]() Author: Khan Academy Published: 2019-12-20T23:00:00Z Content type: opinion Language: en Sources: [Khan Academy]() Topics: [Go Language](), [Python](), [Back end](), [Kotlin](), [Server]() Tags: [backend](), [end-of-life](), [engineering](), [go](), [infrastructure](), [kotlin](), [news](), [performance](), [services]() ### AI overview Khan Academy describes its effort to rebuild server software on Go's modern stack. The article explains why moving from Python 2 to Python 3 offered limited benefits, considers Kotlin and other options, and presents faster languages as a way to improve responsiveness and reduce server costs. ### Source excerpt By Kevin Dangoor Go + Services = One Goliath Project Khan Academy is embarking on a huge effort ... Read more ## Kotlin for Python developers DevFeed: [Kotlin for Python developers]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-11-29T23:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Kotlin](), [Python](), [Learning](), [Programming]() Tags: [content-platform](), [developers](), [engineering](), [guide](), [kotlin](), [learning](), [news](), [programming](), [python]() ### AI overview Khan Academy Engineering publicly released a Kotlin for Python developers guide after adopting Kotlin as an alternative backend language alongside Python. The textbook-style resource explains Kotlin in terms familiar to Python developers, while noting that it is not comprehensive and is provided as-is. ### Source excerpt By Aasmund Eldhuset Earlier this year, the Khan Academy Engineering organization decided to introduce Kotlin as an alternative ... Read more ## Announcing Fedora Linux 45 Beta DevFeed: [Announcing Fedora Linux 45 Beta]() Original publisher: [Read original article]() Author: Aoife Moloney Published: 2026-09-15T14:05:00Z Content type: release Language: en Sources: [Fedora Magazine]() Topics: [Fedora](), [Linux](), [dnf](), [podman](), [pandas](), [Python](), [gcc](), [Go Language](), [MariaDB](), [MySQL](), [Filesystems]() Tags: [2026](), [dnf](), [fedora-project-community](), [filesystems](), [gcc](), [go](), [linux](), [mysql](), [pandas](), [partitioning](), [podman](), [pre-release](), [python](), [release](), [toolchains]() ### AI overview Fedora Linux 45 Beta is available for download or upgrade on September 15, 2026. The release includes changes to the kernel console, package signature verification, desktop secret management, software versions, Atomic Desktop image builds, Fedora CoreOS swap support, Anaconda installation flows, and Stratis filesystem partitioning. ### Source excerpt Fedora Linux 45 Beta is here! On Tuesday, 15 September 2026 you can download or upgrade your systems from your usual spots to start enjoying what F45 has to offer early. How to get the beta release You can download F45 Beta, or our pre-release edition versions, from any of the following places: You can [...] ## Automating EDA With fg-data-profiling DevFeed: [Automating EDA With fg-data-profiling]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-15T14:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Data analysis](), [pandas](), [Python](), [Data Quality](), [Statistics](), [HTML](), [JSON]() Tags: [data-analysis](), [data-quality](), [pandas](), [python](), [statistics](), [tutorial]() ### AI overview A video course on automating exploratory data analysis with fg-data-profiling. It covers generating interactive reports from DataFrames, exporting them to HTML or JSON, analyzing time series, and comparing datasets. ### Source excerpt Automate exploratory data analysis by transforming DataFrames into interactive reports with one command from fg-data-profiling. ## DjangoCon Europe 2027 is heading to Innsbruck, Austria! 🏔⛷🚠🇦🇹 DevFeed: [DjangoCon Europe 2027 is heading to Innsbruck, Austria! 🏔⛷🚠🇦🇹]() Original publisher: [Read original article]() Author: DjangoCon Europe 2027 Organizing Team Published: 2026-09-15T13:20:26Z Content type: news Language: en Sources: [The Django weblog]() Topics: [Django](), [Python]() Tags: [announce](), [community](), [conference](), [django](), [framework](), [open-source](), [python]() ### AI overview DjangoCon Europe 2027 will take place in Innsbruck, Austria, from February 17-21, 2027. The community-run conference has opened its Call for Proposals and started ticket sales, with volunteer and sponsorship opportunities also available. ### Source excerpt We're delighted to announce that DjangoCon Europe 2027 will take place in Innsbruck, Austria, from February 17-21, 2027! Photo by Nicole Baster on Unsplash Each year, DjangoCon Europe brings together people from across the Django community to learn, share ideas, contribute, and spend time together. In 2027, that community will come together in Innsbruck for five days of Django, Python, and community. DjangoCon Europe is organized by community volunteers and has long been one of the highlights of the Django community calendar. Developers, contributors, newcomers, and long-time community members from around the world come together to exchange knowledge, make new connections, and help shape the future of Django. Save the dates 📅 February 17-21, 2027 📍 Innsbruck, Austria And there's even more good news: the Call for Proposals is open, and tickets are now on sale! Submit a proposal Have something you'd like to share with the Django community? The Call for Proposals is open. Whether you have a deep technical topic, a lesson you've learned from building with Django, an idea that could benefit the community, or something completely unexpected, we'd love to hear from you. Submit a proposal -> Get your ticket Ready to join us in Innsbruck? Tickets for DjangoCon Europe 2027 are now on sale. Come spend five days learning, sharing, meeting fellow Djangonauts, and enjoying everything the Django community has to offer. Get your ticket -> Volunteer at DjangoCon Europe DjangoCon Europe is a community-run conference, and volunteers play an important part in making it happen. If you'd like to help us make DjangoCon Europe 2027 a great experience for everyone, sign up to volunteer. Whether you're a long-time member of the community or attending your first DjangoCon, we'd love to have you involved. Sign up to volunteer -> Sponsor DjangoCon Europe Support the conference financially and gain visibility in the Django community. Learn more about sponsorship -> Download the sponsorship brochure ## Quiz: How to Get Started With Ollama DevFeed: [Quiz: How to Get Started With Ollama]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-15T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [Ollama](), [Python](), [Code](), [Hardware]() Tags: [chat](), [generate](), [hardware](), [how-to](), [install](), [internet](), [local](), [models](), [ollama](), [python](), [running]() ### AI overview An interactive 10-question quiz tests understanding of installing Ollama, pulling local models, and calling chat and generate functions from Python. It also covers multi-turn conversations, local hardware, and data privacy. ### Source excerpt Check your understanding of installing Ollama, pulling local models, and calling the chat and generate functions from your Python code. ## How Delphi ships 100 times a day with its Python backend on Vercel DevFeed: [How Delphi ships 100 times a day with its Python backend on Vercel]() Original publisher: [Read original article]() Author: Kevin Sundstrom Published: 2026-09-15T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Python](), [Vercel](), [Back end](), [feature flags](), [Amazon Web Services](), [Docker](), [airflow]() Tags: [aws](), [backend](), [docker](), [feature-flags](), [python](), [vercel](), [workflow](), [workflows]() ### AI overview A Vercel case study describes how Delphi rebuilt its Python backend on Vercel after previously using AWS, ECS, Docker Desktop, and local databases. The move gave the team a shared deployment workflow, faster onboarding, and more than 100 production deploys per day, while Vercel Workflows and Queues support long-running work and background jobs. ### Source excerpt Delphi on Vercel 10 engineers with no dedicated infrastructure role Everyone ships code, including product and design 100+ production deploys a day behind feature flags Delphi builds digital minds. They capture what someone has written, recorded, and taught, so anyone can tap that expertise on demand. Delphi is "a destination where you can find and interact with interesting minds," says founding engineer Spencer Schoeben. Nobody has built a digital mind network before, so Delphi figures out what to build by shipping features and watching how people use them. That only works if the product is fast to change. "If we are going to win, we need to have an excellent developer and agentic experience," Spencer says. "Otherwise, we could not adapt to how fast our user's demands change." Delphi's frontend had run on Vercel since day one. "The frontend has always been easy," Spencer says, "but the backend was a nightmare." Six months ago, the team rebuilt its Python backend on Vercel as well. Today the whole team ships to production 100+ times a day. Building a Python backend that's easy to work onThe backend slowed every change Delphi's backend previously ran on AWS, with ECS, Docker Desktop, and local databases. In the earliest days, the setup worked because the team was small and much of the context lived in people's heads. As Delphi grew, that made onboarding slower than the team wanted: getting a new engineer to their first deploy took a full day of environment setup. Delphi could have fixed that without leaving AWS. But fixing it properly would have meant designing and owning the infrastructure themselves, and the team didn't want to own infrastructure at all. "That is not our current goal as a company," Spencer says. After moving the backend to Vercel, new engineers could get to production much faster, with the same deploy workflow the rest of the team used every day. Workflows and Queues made the move possible When Delphi was founded, Vercel Workflows and Vercel Queues [Next page]()