gastrodon
py
gastrodon | py | |
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2 | 5 | |
131 | 6,636 | |
- | 0.6% | |
0.0 | 0.0 | |
about 2 years ago | 11 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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gastrodon
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LinkedDataHub: The Knowledge Graph Notebook
This package was designed to solve more problems than it creates
https://github.com/paulhoule/gastrodon
Overall I think of graph visualization as a problem, in particularly there are some people who just don't see that hairballs are incomprehensible
https://cambridge-intelligence.com/how-to-fix-hairballs/
- Gastrodon: Put RDF data on your fingerips with Jupyter, Pandas and Sphinx
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😉
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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.
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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
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Weekly Entering & Transitioning Thread | 14 Feb 2021 - 21 Feb 2021
Data analysis roadmap
What are some alternatives?
LinkedDataHub - The low-code Knowledge Graph application platform. Apache license.
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
graph-notebook - Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
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.
kgtk - Knowledge Graph Toolkit
alphalens - Performance analysis of predictive (alpha) stock factors
notion-auto-pull - Bash script to automatically download a notion workspace
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
datahub - The Metadata Platform for your Data Stack
BestPractices - Things that you should (and should not) do in your Materials Informatics research.