#python — Public Fediverse posts

I’ve knitted a pair of #Python socks for the #PyLadies Auction @ #PyConUS 2026! They fit a US women’s 7.5-9 shoe or men’s 6-7.5 (about 23.8-25.1 cm foot length, depending on width/instep etc.).

The yarn is composed of:

52% Silk
24% Mohair
20% Merino
4% Viscose

The cat’s paws and tail are not included; she’s still using them.

#PyConUS

ClickHouse is hiring Senior Software Engineer - JVM Language Clients

🔧 #csharp #cplusplus #golang #java #javascript #python #rust #api #kafka #sql #seniorengineer
🌎 Remote; Germany
⏰ Full-time
🏢 ClickHouse

Job details https://jobsfordevelopers.com/jobs/senior-software-engineer-jvm-language-clients-at-clickhouse-com-apr-22-2026-43d187?utm_source=mastodon.world&utm_medium=social&utm_campaign=posting
#jobalert #jobsearch #hiring

WIP
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_05_14 #Processing #Python #py5 #CreativeCoding

Made it to Long Beach just in time for the start of #pyconus !! I can't wait to see all of my friends and colleagues!! This is always my favorite meeting.

Tomorrow @pyOpenSci will host its first #openspace at 3pm in room 202A! Join us to talk about #genAI #aitools and the impact they are having on #opensource . We have some research lined up and want to problem-solve with the community together. I hope to see you all there!! #python

Common 𝘀𝗲𝘁 operation in Python.
Run it in Memory Graph Web Debugger: https://memory-graph.com/#codeurl=https://raw.githubusercontent.com/bterwijn/memory_graph_examples/refs/heads/main/set_operations.py&play

#Python #programming #memory_graph

Have you met our first #keynote speaker for #PyOhio 2026? Now you have!

We're thrilled to welcome Carol Willing to join us in July. On top of being a PSF Fellow, a Python Core Developer, a Jupyter contributor, and serving 3 times on the Python Steering Council, Carol has a long list of achievements, and is just an overall lovely person. We can't wait to hear her speak!
https://www.pyohio.org/2026/program/speakers/carol-willing/

#Python #Conference

Hello #PyConUS! Do you want to come Ponder the Orbs?

The Orb Pondering open space, covering #Tarot, #Astrology, and beyond, is going to be in room 102C (that's the floor with registration in the main building) at 4pm tomorrow (Friday).

Come learn about making order from randomness, with paper and #Python!

THE PSF BOOTH OPENS SOON! 3... 2... 1...

Snakes in space are GO for launch on the expo floor at @pycon US 2026! Come say hi, grab stickers, play games, and join us for astronomical fun 🌌

#Python #PyConUS

Hey PyConners! Here is the latest update of the interactive PyConUS schedule. https://gist.github.com/ptmcg/d851232d6b90812e1c01c990ecec516c
Now supports searching by time frames, such as "Saturday 3pm-4pm". Also now includes the plenary sessions. Look for me there and get your "Python in a Nutshell 4th Ed" badge pin - quantities limited! #pyconUS #python #pycon2026

gh-profiler 0.4.0 supports the `--concise` flag. This generates a condensed summary, with just one line for each main section of output.

I'm going to try to write a GH action that writes this info as a comment on each new issue and PR in the repo. The concise output is much more appropriate for that application.

#Python #OpenSource #PyConUS

The PSF booth is hosting Meet & Greet sessions with @pycon US 2026 keynotes and #Python community groups 🤝🐍

Come connect with some of the people who make the Python community awesome 💫 #PyConUS

Waiting for website changes in the browser https://lobste.rs/s/d2rnlh #python #web
https://alexwlchan.net/2026/livereload-in-browser/

Wrap Go binaries in Python wheels

https://github.com/simonw/go-to-wheel

#github #python

The #Python Steering Council is collecting questions for the PyCon US 2026 Keynote this Sunday. If you have things you'd like the Steering Council to answer in public -- interesting or enganging or fun or ridiculous questions all welcome -- please fill out this form. https://bit.ly/pysc-2026

I 3D printed some #Python logo keychain charms to give away at #PyConUS!

Most of them will be at the local community booth 726 in the Expo Hall, where @pybeach, @socalpython, San Diego Python, and Inland Empire Python Users Group will be hanging out, but I’ll also have some on me throughout the conference.

Come say hi to whomever is at the booth to grab yours, or say hi to me wherever you see me. 😁

@intrepidhero

I had to start using #python recently, and while having heard how good it was, my expectations were high.

I was totally blindsided by the environmental shenanigans.

Make an HSL-based LinearGradientBrush class for use with PIL in Python

https://rodstephensbooks.com/pil_hsl_linear_gradient_brush.html

#Python #PIL #ComputerGraphics #Color

Celonis is hiring Principal Enterprise Architect

🔧 #python #api #aws #azure #gcp #sql #principalengineer #solutionsarchitect
🌎 Munich, Germany
⏰ Full-time
🏢 Celonis

Job details https://jobsfordevelopers.com/jobs/principal-enterprise-architect-at-celonis-com-feb-27-2026-fb6dc9?utm_source=mastodon.world&utm_medium=social&utm_campaign=posting
#jobalert #jobsearch #hiring

#BlogMore v2.23.0 is now available, with some cache control, some extra cache usage, and auto-reload for pages in the browser when in serve mode.

https://blog.davep.org/2026/05/14/blogmore-v2-23-0.html

#python #programming #ssg #blogging #writing

#BlogMore v2.23.0 is now available, with some cache control, some extra cache usage, and auto-reload for pages in the browser when in serve mode.

https://blog.davep.org/2026/05/14/blogmore-v2-23-0.html

#python #programming #ssg #blogging #writing

#BlogMore v2.23.0 is now available, with some cache control, some extra cache usage, and auto-reload for pages in the browser when in serve mode.

https://blog.davep.org/2026/05/14/blogmore-v2-23-0.html

#python #programming #ssg #blogging #writing

#BlogMore v2.23.0 is now available, with some cache control, some extra cache usage, and auto-reload for pages in the browser when in serve mode.

https://blog.davep.org/2026/05/14/blogmore-v2-23-0.html

#python #programming #ssg #blogging #writing

#BlogMore v2.23.0 is now available, with some cache control, some extra cache usage, and auto-reload for pages in the browser when in serve mode.

https://blog.davep.org/2026/05/14/blogmore-v2-23-0.html

#python #programming #ssg #blogging #writing

At current pace, there will be 65 CVEs that affect the #python package ecosystem this year.

This is easily 3x-4x previous years.

One response to this is PEP-811: defining a Python security response team, membership and responsibilities (https://peps.python.org/pep-0811/)

This makes it easier to add more members and spread the load.

One result already in place: a formal vulnerability report response framework, uniting Github security policies and docs and the security response team.

#PyConUS #PyCon

At current pace, there will be 65 CVEs that affect the #python package ecosystem this year.

This is easily 3x-4x previous years.

One response to this is PEP-811: defining a Python security response team, membership and responsibilities (https://peps.python.org/pep-0811/)

This makes it easier to add more members and spread the load.

One result already in place: a formal vulnerability report response framework, uniting Github security policies and docs and the security response team.

#PyConUS #PyCon

At current pace, there will be 65 CVEs that affect the #python package ecosystem this year.

This is easily 3x-4x previous years.

One response to this is PEP-811: defining a Python security response team, membership and responsibilities (https://peps.python.org/pep-0811/)

This makes it easier to add more members and spread the load.

One result already in place: a formal vulnerability report response framework, uniting Github security policies and docs and the security response team.

#PyConUS #PyCon

At current pace, there will be 65 CVEs that affect the #python package ecosystem this year.

This is easily 3x-4x previous years.

One response to this is PEP-811: defining a Python security response team, membership and responsibilities (https://peps.python.org/pep-0811/)

This makes it easier to add more members and spread the load.

One result already in place: a formal vulnerability report response framework, uniting Github security policies and docs and the security response team.

#PyConUS #PyCon

At current pace, there will be 65 CVEs that affect the #python package ecosystem this year.

This is easily 3x-4x previous years.

One response to this is PEP-811: defining a Python security response team, membership and responsibilities (https://peps.python.org/pep-0811/)

This makes it easier to add more members and spread the load.

One result already in place: a formal vulnerability report response framework, uniting Github security policies and docs and the security response team.

#PyConUS #PyCon

@gotofritz Maybe I should have been a bit more specific. I am looking for recommendations by people who used a course or tutorial to learn #python
I have already searched for resources and also looked on the official python site. But since there are so many courses/ books/ tutorials out there I wanted to get some feedback from people what was useful to them.

I just finished giving my talk at the #PyConUS education summit, "Vibe teaching: #Python training in the age of AI."

What fun!

I've uploaded the slides: https://speakerdeck.com/reuven/vibe-teaching-python-training-in-the-age-of-ai-pycon-us-2026-education-summit

@ClemensPitschke

if you just follow the #python tags there are plenty people posting beginners courses, tips, etc

Python Tip #134 (of 365):

Use looping helpers

Python's "for" loops are simple: they loop over an iterable one item at a time.

That's all they can do.

Because our "for" loops are so simple and iterable-centric, looping helpers are a VERY big deal in Python.

We use enumerate to count upward while looping, reversed to loop in the reverse direction, and zip to loop over multiple iterables at the same time.

🧵 (1/2)

#Python #DailyPythonTip

Is python disintegrating?

$ pip3 install mypy
error: externally-managed-environment

× This environment is externally managed
╰─> To install Python packages system-wide, try ...
blurb bla bla burb bla

WTF. Previously it just installed in ~/.local/lib/python-my-shit-version. Now its blathering two long paragraphs about how to jump through hoops.

JUST USE MY FUXCKING LOCAL, BITCH.😡 🤯

Compare java:
- aunpack jdk-version.tgz.
- Repoint PATH
- Done.

#python #pip #debian

Hey programmers of the Fediverse.
What are good resources to start learning #Python ?
I want to generate sepctrogram videos with a Mel scale from audio files and it seems python with some special packages is the best solution here.
So far I am using ffmpeg for spectrogram generation but you can only choose between logarithmic and linear for the frequency scale which isn't ideal.
So any advice where to get started?

#fedihelp #programming #beginner #learning

So the young peoples #STEM club I run has access to a load of chromebooks... tonight I've dived into the "Crostini" stuff (like a #Linux in VM) and got @freecad @inkscape and #thonny up and running so far. At last the chromebooks might be useful! #freecad #inkscape #python

Season 1 Lesson 21 Part 5 - Your First Steps in Python Duplicates Behaviour Dictionary #vibecoding #softwaredeveloper #jupyternotebook #dataengineer #codingtutorial #pythonprogramming #dataanalysis #datascience #pythoncode #learncoding #softwarengineer #machinelearning #python

Season 1 Lesson 21 Part 5 - Your First Steps in Python Duplicates Behaviour Dictionary #vibecoding #softwaredeveloper #jupyternotebook #dataengineer #codingtutorial #pythonprogramming #dataanalysis #datascience #pythoncode #learncoding #softwarengineer #machinelearning #python

Season 1 Lesson 21 Part 5 - Your First Steps in Python Duplicates Behaviour Dictionary #vibecoding #softwaredeveloper #jupyternotebook #dataengineer #codingtutorial #pythonprogramming #dataanalysis #datascience #pythoncode #learncoding #softwarengineer #machinelearning #python

Season 1 Lesson 21 Part 5 - Your First Steps in Python Duplicates Behaviour Dictionary #vibecoding #softwaredeveloper #jupyternotebook #dataengineer #codingtutorial #pythonprogramming #dataanalysis #datascience #pythoncode #learncoding #softwarengineer #machinelearning #python

Season 1 Lesson 21 Part 5 - Your First Steps in Python Duplicates Behaviour Dictionary #vibecoding #softwaredeveloper #jupyternotebook #dataengineer #codingtutorial #pythonprogramming #dataanalysis #datascience #pythoncode #learncoding #softwarengineer #machinelearning #python

Как я сделал “Авиасейлз для логистики”: агрегатор заявок из 16+ источников

В логистике проблема часто не в том, что нет данных. Проблема в том, что данные разбросаны по разным местам. Одни заявки лежат во внутренней системе, другие — в закрытых кабинетах грузоотправителей, третьи — на тендерных площадках, четвёртые приходят через Excel-выгрузки, пятые доступны только через веб-интерфейс. Где-то есть нормальный HTTP-обмен, где-то данные спрятаны за фронтендом, где-то приходится читать DOM-таблицу, а где-то сначала кажется, что всё просто, пока не выясняется, что цена приходит в копейках, маршрут состоит из трёх точек, а тип кузова записан как “тент 20т, верхняя загрузка”. Для менеджера всё это выглядит не как единый рынок грузов, а как набор вкладок в браузере. Открыть один кабинет. Потом второй. Потом третий. Проверить направление. Сравнить цену. Посмотреть дату. Понять, где реф, где тент, где просто “20 тонн”. Не забыть про аукцион, у которого скоро истекает время. Потом всё равно перенести результат в таблицу или открыть внутреннюю панель. В какой-то момент стало понятно: нам нужен не ещё один парсер, а единая витрина. Так появился внутренний агрегатор заявок — условный “Авиасейлз для логистики”.

https://habr.com/ru/articles/1035316/

#логистика #автоматизация #парсинг_данных #агрегатор_заявок #ETL #PostgreSQL #Python #Google_Sheets #FastAPI

Day 10/75: Sliding window - variable size

Today's note was about using a stable invariant so sliding window - variable size feels like a process instead of a trick. I kept coming back to the same checks: name the exact window, prefix, or pointer region each variable owns, reuse prior work instead of recomputing the same range each iteration, and test boundary sizes first because they expose weak invariants quickly.

The failure mode worth watching is moving boundaries before stating what region they actually represent. If that happens, the implementation usually looks busy while the invariant is already gone.

#Python #DSA #Algorithms

Day 10/75: Sliding window - variable size

Today's note was about using a stable invariant so sliding window - variable size feels like a process instead of a trick. I kept coming back to the same checks: name the exact window, prefix, or pointer region each variable owns, reuse prior work instead of recomputing the same range each iteration, and test boundary sizes first because they expose weak invariants quickly.

The failure mode worth watching is moving boundaries before stating what region they actually represent. If that happens, the implementation usually looks busy while the invariant is already gone.

#Python #DSA #Algorithms

Day 10/75: Sliding window - variable size

Today's note was about using a stable invariant so sliding window - variable size feels like a process instead of a trick. I kept coming back to the same checks: name the exact window, prefix, or pointer region each variable owns, reuse prior work instead of recomputing the same range each iteration, and test boundary sizes first because they expose weak invariants quickly.

The failure mode worth watching is moving boundaries before stating what region they actually represent. If that happens, the implementation usually looks busy while the invariant is already gone.

#Python #DSA #Algorithms

Day 10/75: Sliding window - variable size

Today's note was about using a stable invariant so sliding window - variable size feels like a process instead of a trick. I kept coming back to the same checks: name the exact window, prefix, or pointer region each variable owns, reuse prior work instead of recomputing the same range each iteration, and test boundary sizes first because they expose weak invariants quickly.

The failure mode worth watching is moving boundaries before stating what region they actually represent. If that happens, the implementation usually looks busy while the invariant is already gone.

#Python #DSA #Algorithms