Quick visualization while untangling AoC 2025 Day 11 Part 2.

#AdventOfCode #networkx

📦 affiliation-builder v0.2.0: a #Python package for creating bipartite affiliation networks from #JSON using #NetworkX.

🌐 https://pypi.org/project/affiliation-builder/

Generic enough for any affiliation data you throw at it, but I'm developing it specifically as part of a workflow that makes #TEI listEvent accessible to #networkanalysis. More soon ...

Feedback welcome!

@ACDHCH_OeAW @TEIConsortium @HNR @fwf

#dh #digitalhumanities #digitaledition #dse #sde #network

Client Challenge

Why show up on our #booth at #NetworkX? Apart from discussions about #opensource and #security (and #OmniaNG that features both) you also get to play #Doom!
Our #stand at #NetworkX is #ready! If you are around and want to learn more about our #opensource #secure #wifi #router #OmniaNG or about other #CZNIC projects like #Bird or #KnotResolver, drop by and talk to us!
This week we will be at #NetworkX in #Paris! We are bringing our brand #new #opensource #secure #wifi #router - #OmniaNG! If you couldn't make it to #LinuxDays last week, here is another chance to see it IRL! You can also visit our #stand to talk to us about other #CZNIC projects like #Bird and #Knot #Resolver - #routing and #dns. See you in Paris!

🤩 Fantastic new network plotting package available in Python by Fabio Zanini. The package supports both #networkx  and #igraph  networks, and has a wide variety of styling options.
https://iplotx.readthedocs.io/en/latest/

Reposting on Mastodon - Source: https://bsky.app/profile/vtraag.bsky.social/post/3m2bjcckons2f

iplotx documentation — iplotx 0.11.1 documentation

«Welcome to the #AutomatingGIS processes course! Through interactive lessons and hands-on exercises, this course introduces you to #GeographicDataAnalysis using the #Python programming language. If you are new to Python, we recommend you first start with the Geo-Python course (geo-python.readthedocs.io) before diving into using it for GIS analyses in this course.

Geo-Python and Automating GIS Processes (‘#AutoGIS’) have been developed by the Department of Geosciences and Geography at the University of Helsinki, Finland. The course has been planned and organized by the #DigitalGeographyLab. The teaching materials are openly accessible for anyone interested in learning.»

https://autogis-site.readthedocs.io/en/latest/

(via Paul Walter no linkedin)

#GIS #geoPython #geopandas #shapely #osmnx #networkx

Automating GIS Processes 2025

Just finished watching Oppenheimer - seems #NetworkX wasn't the first invention that came out of Los Alamos. #Python

🐍 Join us next month at the Houston Python Meetup! 🐍

📅 July 15, 2025 | 6:00-8:00 PM

📍 Improving, 10111 Richmond Ave, Houston

Featured talk: "Finding Meaning in Connections: A Practical Demo with NetworkX" by Walker Hale - learn how graph-based analysis can unlock insights from complex, interconnected data.

Plus lightning talks, networking, and refreshments! Perfect for Python developers at any level.

#Python #Houston #NetworkX #DataScience #TechMeetup

Link: https://www.meetup.com/python-14/events/308559875/

Finding Meaning in Connections: A Practical Demo with NetworkX, Tue, Jul 15, 2025, 6:00 PM | Meetup

Welcome to our next Python Meetup! Whether you're a seasoned developer or just beginning your Python journey, this event is designed to help you dive deeper into the langua

Meetup

Еще чуть-чуть быстрее ищем кратчайший путь на Python

Привет! На связи команда геоаналитики ecom.tech , мы строим модели машинного обучения на основе пространственных данных для задач ритейла в реальном времени, а также создаем промежуточные инструменты на базе методов прикладной геоаналитики. На наших технологиях работает Самокат и Мегамаркет. Например, наша команда решает задачу поиска оптимального расположения даркстора (место, где хранятся продукты, а также собираются заказы). Зона покрытия даркстора — радиус в пару километров, и количество их постоянно увеличивается. Мы хотим уметь размещать новый даркстор так, чтобы как можно больше людей получали заказы за минимальное время доставки. В этой статье мы расскажем, как выбираем локации для новых дарксторов: определимся с постановкой задачи, погрузимся в контекст проекта и покажем, как можно анализировать сотни тысяч разных точек на карте в секунду.

https://habr.com/ru/companies/ecom_tech/articles/911732/

#python #networkx #open_street_map #геоданные #геоинформационные_сервисы

Еще чуть-чуть быстрее ищем кратчайший путь на Python

Привет! На связи команда геоаналитики ecom.tech , мы строим модели машинного обучения на основе пространственных данных для задач ритейла в реальном времени, а также создаем промежуточные инструменты...

Хабр