jupyter-memgraph-tutorials
BestPractices
jupyter-memgraph-tutorials | BestPractices | |
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4 | 1 | |
28 | 157 | |
- | - | |
5.3 | 2.8 | |
12 months ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jupyter-memgraph-tutorials
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Exploring a Twitter Network With Memgraph in a Jupyter Notebook
You will need to download this file which contains a simple dataset of scraped tweets. To import it into Memgraph, we will first need to copy it to the Docker container where Memgraph is running. Find the CONTAINER_ID by running:
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How to Use Memgraph With Python and Jupyter Notebooks
Now, I am going to show you an example of how to accomplish this. You can also take a look at this Jupyter Notebook if it's more your style.
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Importing Table Data Into a Graph Database With GQLAlchemy
Are you considering moving from table data to a graph database, but it seems like a complicated migration? With this short tutorial, we are going to show you how to do just that using GQLAlchemy. You will learn how to import table data from files stored in local or online storage to a Memgraph graph database. You can find the original Jupyter Notebook in our open-source GitHub repository.
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Temporal Graph Neural Networks With Pytorch - How to Create a Simple Recommendation Engine on an Amazon Dataset
GitHub repository
BestPractices
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Ideas for Materials Science / Data Science projects
My research group recently wrote the definitive best practice guide for getting into this field. We provide a GitHub with some example data that you could take a look at. The code snippets will be really useful because we have them really well commented. https://github.com/anthony-wang/BestPractices
What are some alternatives?
graph-notebook - Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
nbdev - Create delightful software with Jupyter Notebooks
mage - MAGE - Memgraph Advanced Graph Extensions :crystal_ball:
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks [Moved to: https://github.com/memgraph/jupyter-memgraph-tutorials]
py - Repository to store sample python programs for python learning
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
pymatgen - Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
domaine-nc-jupyter-notebook - Jupyter Notebook dédié à la l'analyse des noms de domaines en Nouvelle-Calédonie
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
jupytemplate - Templates for jupyter notebooks