graph-notebook
py
graph-notebook | py | |
---|---|---|
3 | 5 | |
694 | 6,654 | |
2.6% | 1.0% | |
7.9 | 0.0 | |
3 days ago | 26 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | - |
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.
graph-notebook
-
AWS Neptune for analysing event ticket sales between users - Part 1
We will now configure a Neptune graph notebook to access the cluster, so we can run queries and generate interactive visualisations. Neptune Workbench allows users to run fully managed jupyter notebook environment in Sagemaker with the latest release of the open source graph Neptune project. This has the benefit of offering in-built capabilities like visualisation of queries
-
AWS Neptune for analysing event ticket sales between users - Part 2
This blog follows on from the setup of Neptune DB with Worldwide Events data in the first part. Here we will run some queries and investigate node relationships in the Neptune Notebook. We can use some of the magic commands available in graph notebook open sourced by AWS and available to use in the Neptune Notebook instance configured in the first part of this blog. We can configure the visualisation options available in the notebook when we execute the query, using the%graph_notebook_vis_options command. This will output a json containing the default configuration options for rendering the graphs.
-
Build a graph database with Amazon Neptune Part 1 - AWS CloudFormation stack
AWS Graph Notebooks
py
- I'm in my 30's and never had a "real job" - I have depression and anxiety, how do I get my life in order?
- Learn data science step by step in 6 months😉
-
2022 Goals
Here is a guide and resources on these in the 6-12 weeks sections. It's from Chandoo on YT, who has a ton of videos on learning data analytics.
-
Andrew Ng or more hands-on course?
I will give it a look into Ng's course, try out some of the resources in this github and look into this website too
-
Weekly Entering & Transitioning Thread | 14 Feb 2021 - 21 Feb 2021
Data analysis roadmap
What are some alternatives?
gastrodon - Visualize RDF data in Jupyter with Pandas
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks
ml-coursera-python-assignments - Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
notebook - Jupyter Interactive Notebook
alphalens - Performance analysis of predictive (alpha) stock factors
nbestimate - Estimate of Public Jupyter Notebooks on GitHub
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
amazon-neptune-samples - Samples and documentation for using the Amazon Neptune graph database service
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
amazon-neptune-tools - Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.