#networkx — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #networkx, aggregated by home.social.
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City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
City2Graph: Easy graph generation in Python: #City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports...
https://spatialists.ch/posts/2026/04/18-city2graph-easy-graph-generation-in-python/ #GIS #GISchat #geospatial #SwissGIS -
CW: AdventOfCode 2025 Day 11 Visualization
Quick visualization while untangling AoC 2025 Day 11 Part 2.
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📦 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!
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📦 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!
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📦 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!
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📦 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!
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📦 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!
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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!
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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!
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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!
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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!
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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!
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🤩 Fantastic new network plotting package available in Python by Fabio Zanini. The package supports both #networkx :networkx: and #igraph :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
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«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)
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«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)
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«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)
-
«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)
-
«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)
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🐍 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.
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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
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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
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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
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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
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I started by importing all nodes and edges into #NetworkX, incorporating changes step-by-step, and visualizing the graph at each stage to spot any anomalies.
Now, I’m translating from NetworkX operations to database operations to implement these changes in the production database via Django shell.
6/6
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#networkx #TSP approximation Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_09
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding -
#MinimumSpanningTree #networkx Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_08
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding -
#networkx #MinimumSpanningTree Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_02_07
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding -
Coding question. What could be the reason behind getting different error messages when running the same code multiple times? The code has no random elements, does not depend on external data, etc.
Code is python3 with the networkx package. One run gives the error:
networkx.exception.NetworkXError: The node 225B is not in the graph.
Run it again, and it gives:
networkx.exception.NetworkXError: The node 256B is not in the graph.What the heck? I know this is a very general question, but what could cause this kind of thing? Could networkx be representing the graph internally in different ways with each run? Why would it do that?
Any thoughts much appreciated!
(I know the problem is likely due to my efforts to modify a graph as I am iterating over it, which I know causes problems, and I'm working on a workaround, but why the changing errors?)
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I've completed "LAN Party" - Day 23 - Advent of Code 2024
networkx made very short work of this one. Now to finish up Part 2 on days 21 and 22.
https://github.com/jstanden/advent-of-code-python/blob/main/2024/day23.ipynb
