Implementing a database is out of scope for this guide, however, several guides are available online for simple embedded open source software solutions like SQLite, HyperSQL, Derby, and many more. - Source: dev.to / over 1 year ago

Database I and II use a LOT of books (with the premeditated intent to drown you) here is the list from DB2 for example:Sharma, N., Perniu, L., Chong, R.F., Iyer, A., Nandan, C., Mitea, A.C., Nonvinkere, M., & Danubianu, M. (2010). Database Fundamentals (1st ed.). Markham, ON: IBM Corporation.Silberschatz, A., Korth, H.F., & Sudarshan, S. (2001). Database System Concepts (4th ed.). New York, NY: McGraw-Hill.Din,... Source: almost 2 years ago

Base uses hsqldb, http://hsqldb.org/, in their documentation you can find examples of SQL statements. Source: over 2 years ago

A capturing proxy such as OWASP ZAP will save every byte into a HyperSQL database, although it can be a PITA to deal with the certs. Source: over 2 years ago

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 / 6 months ago

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: 7 months ago

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 / 9 months ago

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: about 1 year ago

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: about 1 year ago