NetworkX Reviews and details

Social recommendations and mentions

• Representing Graphs in PostgreSQL

  If you are interested in the subject, also take a look at NetworkDisk[1] which enable users of NetworkX[2] which maps graphs to databases. [1] https://networkdisk.inria.fr/ [2] https://networkx.org/. - Source: Hacker News / 2 months ago

• Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation

  In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / over 1 year ago

• Custom libraries and utility tools for challenges

  If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: over 1 year ago

• Google open-sources their graph mining library

  For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / over 1 year ago

• org-roam-pygraph: Build a graph of your org-roam collection for use in Python

  Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: almost 2 years ago

• Microsoft won't accept my first name.

  Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: almost 2 years ago

• Network Graph Layer3 Topology

  I had some success using Networkx in the past: https://networkx.org/. Source: about 2 years ago

• GUI Library recommendations

  Networkx will do a lot of that work for you, including some graphics. Source: about 2 years ago

• PageRank Algorithm for Graph Databases

  Common graph databases are network-based for scaling purposes. Sqlite is a in-file database. So just run graph algorithms on a stringifed json stored as a text on sqlite. See the networkx module for the common graph algorithms https://networkx.org/. - Source: Hacker News / over 2 years ago

• Method has 5 levels of nesting. Can and should this be reduced?

  There is also networkx (https://networkx.org/) which implements a Graph and a DiGraph class and allows kinds of useful manipulations/computations on graphs, if OP wants to go down that route. Source: over 2 years ago

• -🎄- 2022 Day 12 Solutions -🎄-

  Sure! I didn't actually use any path-finding algorithm -- I used networkx to do the pathfinding. Essentially, I created a directed graph in networkx which allowed me to model each location as a node and then place a directed edge between them if I was allowed to move from one to the next following the rules (wasn't jumping up more than one step at a time). Once I had built the map, I used the shortest_path_length... Source: over 2 years ago

• What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus

  Networkx. The hard-to-find but very powerfull module for working with graphs (as in: 🕸️ networks, not as in: 📈📊 graphical charts). Source: over 2 years ago

• What's the easiest graph (= vertices + edges) library to use in python? graph as for diagram, not a plot

  I depends, what you need. I used networkx, because you can use any hashable object as node: https://networkx.org/. Source: over 2 years ago

• How to clear a matplotlib figure from memory?

  I'm trying to iteratively save about 1000 images. Each image is a picture of a graph from networkx. The problem is that after about 500 images my computer crashes from memory overload. Source: over 2 years ago

• Interactive Network Graph in Django? How?

  I have used Pyvis for this kind of graph visualizations. Not sure how well it works for your case though. Also works in combination with networkx, which is a python graph library. Source: over 2 years ago

• How to sort list of sentences based on similarity route

  Would a graph be a better structure to traverse the data vs a list? Especially if you require I and i+1 to be the most similar nodes. You could use NetworkX and cosine similarity as the edge weights. Source: over 2 years ago

• [OC]Graph of the Kardashian Cinematic Universe...Look how connected this graph is???

  I used Python, networkx, and pyviz to make this. If you want to look at it closer or look at the code you can check out my git. Source: almost 3 years ago

• [OC]Graph of the Kardashian Cinematic Universe...Look how connected this graph is???

  Yeah networkx. There’s a link to my hit somewhere that you can look at the code to if you want to see how it works. I will say I haven’t cleaned it up yet. But it’s there…. Source: almost 3 years ago

• New Intern - Into data science

  Use https://networkx.org/ to graph your topology :). Source: almost 3 years ago

• print("Hello World")

  Furthermore, you only start to value weak typing when you meta-program, and Python solves those things much more elegant than for example C++ templates ... a good example for this are libs like networkx which allow to build smart networks where the nodes can be any objects, or scipy's LinearOperator class which allows you to easily redefine complex differential equation solvers as matrices and throw them at the... Source: almost 3 years ago

• Open source alternative to ArcGIS Service Area Solver (network analyst extension)?

  Those algorithms are all already available in certain python or R libraries (e.g. https://networkx.org/ for python). You could also implement it yourself since all these graph algorithms are documented really well. Source: about 3 years ago