data-science-portfolio
mercury-examples
Our great sponsors
data-science-portfolio | mercury-examples | |
---|---|---|
3 | 1 | |
7 | 12 | |
- | - | |
0.0 | 7.9 | |
about 2 years ago | 11 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.
data-science-portfolio
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Interactive Online Portfolio
Here is my article about data science portfolio website built with Mercury. The interactive portfolio can be deployed to Heroku. Here is a link. What is more, you can serve several interactive notebooks in the one server.
- Show HN: Data Science Portfolio for Jupyter Notebooks, No HML/CSS Only Python
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Create a Data Science Portfolio website with Jupyter Notebooks and Mercury - no JS/HTML/CSS, only Python!
Website is built on top of Mercury which serves the Notebooks. The code is available at my GitHub https://github.com/pplonski/data-science-portfolio - I hope you will find it interesting and it will help you to create your own portfolio website with executable notebooks.
mercury-examples
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[OC] Data Analyst Skills in need based on 15,963 job listings
Code: https://github.com/mljar/mercury-examples/tree/main/use-cases/data-analyst-job
What are some alternatives?
mercury - Convert Jupyter Notebooks to Web Apps
fastbook - The fastai book, published as Jupyter Notebooks
awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
python-training - Python training for business analysts and traders
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
rapaio-jupyter-kernel - Java jupyter kernel
automl-app - AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
cheatsheets - Official Matplotlib cheat sheets