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Pedagogical notebooks to explain algorithms in networkx

Open MridulS opened this issue 4 years ago • 3 comments

Notebooks which explain algorithms implemented in networkx will be a great addition to this repository.

MridulS avatar Nov 12 '20 16:11 MridulS

For example you can look at https://nbviewer.jupyter.org/github/networkx/notebooks/blob/main/generators/geometric.ipynb

MridulS avatar Nov 15 '20 17:11 MridulS

hey, i think i could make a notebook on the Graph algorithms from networkx to visualise and operate on text data. I'm a little confused whether the notebooks should be centered around networkx application or rather organized clusters of simple notebooks to explain entire networkx documentation. Perhaps, personally I think 1-2 dozen notebooks on the relevant Graph theory applications and use of networkx in them would be pretty cool. Let me know what do you think?

mjhajharia avatar Mar 01 '21 13:03 mjhajharia

I think we envision your preferred set of notebooks -- 1-2 dozen notebooks each on a relevant Graph Theory application. Visualization and operations on text data (from literature? or journalism? what kinds of text are you thinking?) would be great. Right now most of these notebooks are very close to the tutorials and examples from the NetworkX repository. That is for historical reasons (easy first step). We would like to create a collection of notebooks that are more application specific and perhaps more in depth than what is here currently.

dschult avatar Mar 01 '21 18:03 dschult

Thank you for your time and the detailed response, that is very helpful. I think I will go ahead with two notebooks first, the sudoku and NLP one. The text was usually abstracts from scientific papers but we also tested the algorithm on news articles and it worked fairly well.

Regards Meenal Jhajharia Sophomore Year - BTech(IT & Maths) Cluster Innovation Centre University of Delhi

On 2 Mar 2021, 12:03 AM +0530, Dan Schult [email protected], wrote:

I think we envision your preferred set of notebooks -- 1-2 dozen notebooks each on a relevant Graph Theory application. Visualization and operations on text data (from literature? or journalism? what kinds of text are you thinking?) would be great. Right now most of these notebooks are very close to the tutorials and examples from the NetworkX repository. That is for historical reasons (easy first step). We would like to create a collection of notebooks that are more application specific and perhaps more in depth than what is here currently. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

mjhajharia avatar Mar 01 '21 19:03 mjhajharia