resume
buckaroo
resume | buckaroo | |
---|---|---|
8 | 10 | |
3 | 160 | |
- | - | |
0.0 | 8.9 | |
over 1 year ago | 21 days ago | |
Shell | Jupyter Notebook | |
- | BSD 3-clause "New" or "Revised" 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.
resume
- Ask HN: Who wants to be hired? (September 2023)
-
Ask HN: Who wants to be hired? (July 2023)
Résumé/CV: https://github.com/devoopes/resume/blob/master/resume.md
Linkedin: https://www.linkedin.com/in/seanpmccabe/
Email: [email protected]
Position Types: Lead DevOps Engineer, DevOps Manager, SRE
Technologies: DevOps / Solutions Architecture / Cloud (AWS/Azure/GCP) / CI/CD, Kubernetes, Microservices, Containerization. Systems engineer doing DevOps for the last 8+ years. I have an eclectic background working with small and large stacks. Mostly focusing on CI/CD, cost analysis, SOC2/Compliance and working hands on with developers to solve complex problems. I am interested in a mission driven company looking to develop DevOps methodologies with the potential of building a team.
- Ask HN: Who wants to be hired? (May 2023)
-
Ask HN: Who wants to be hired? (April 2023)
Location: Los Angeles, CA Remote: Preferred, USA Willing to relocate: No
Résumé/CV: https://github.com/devoopes/resume/blob/master/resume.md
Linkedin: https://www.linkedin.com/in/seanpmccabe/
Email: [email protected]
Position Types: Lead DevOps Engineer, DevOps Manager, SRE
Technologies: DevOps / Solutions Architecture / Cloud (AWS/Azure/GCP) / CI/CD, Kubernetes, Microservices, Containerization. Systems engineer doing DevOps for the last 8+ years. I have an eclectic background working with small and large stacks. Mostly focusing on CI/CD, cost analysis, SOC2/Compliance and working hands on with developers to solve complex problems. I am interested in a mission driven company looking to develop DevOps methodologies with the potential of building a team.
- Ask HN: Who wants to be hired? (March 2023)
- Ask HN: Who wants to be hired? (January 2023)
- Ask HN: Who wants to be hired? (November 2022)
-
Ask HN: Who wants to be hired? (January 2022)
Résumé/CV: https://github.com/SeanLeftBelow/resume
buckaroo
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PySheets – Spreadsheet UI for Python
I created buckaroo [1] as a better dataframe viewer for jupyter with built in summary stats. It's built to bring a better dataframe experience to people already using pandas/polars. All of it is extensible [2] so that you can customize stats and transformations to your workflow.
[1] https://github.com/paddymul/buckaroo
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The Design Philosophy of Great Tables (Software Package)
Great tables has done some really nice work on python/jupyter tables. It looks like they are almost building a "grammar of tables" similar to a grammar of graphics. More projects should write about their philosophy and aims like this.
I have built a different table library for jupyter called buckaroo. My approach has been different. Buckaroo aims to allow you to interactively cycle through different formats and post-processing functions to quickly glean important insights from a table while working interactively. I took the view that I type the same commands over and over to perform rudimentary exploratory data analysis, those commands and insights should be built into a table.
Great tables seems built so that you can manually format a table for presentation.
https://github.com/paddymul/buckaroo
https://youtu.be/GPl6_9n31NE
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Ask HN: Problems worth solving with a low-code back end?
JLisp.
3. It was very easy to define new lowcode commands, and have the frontend add them to the palette. Each command defines two methods "transform" which manipulates the dataframe, and "transform_to_py" which takes the same arguments but emits python code.
Adoption of my library in general, and the low code UI specifically has been very limited. I'm in the middle of plumbing the lowcode support back in after a refactor of other parts.
I would like to build a whole ecosystem around JLisp and Buckaroo. Specifically I have some "auto-cleaning" functionality that emits JLisp cleaning and normalization commands, these commands can then be editted in the UI (delete, edit parameters). It's easier to emit JLisp than raw python syntax, it's also much easier to make a UI to manipulate it.
Do you have a repo to look at? What usecase did you have in mind when you were building it?
If I were evaluating a low-code backend builder I'd be interested in the examples, and tests. Hopefully the tests would double as examples. For a Workflow type low-code-builder I'd be most interested in the cron functionality.
[1] https://github.com/paddymul/buckaroo
[2] http://norvig.com/lispy2.html
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How to Write a (Lisp) Interpreter (In Python)
I used Norvig’s lisp2.py to build a low code UI. I modified the interpreter to accept JSON flavored lisp, basically replace parens with brackets. The upside is that it was very very easy to make a react front end that manipulates JSON (JLisp). My thinking was, I need a serialization format for operations from the front end, and a way to interpret them. I could write my own language that no one has heard of, or use lisp, which few have used.
https://github.com/paddymul/buckaroo/blob/main/buckaroo/jlis...
- Show HN: The Buckaroo Data Table for Jupyter
- Buckaroo – the data wrangling assistant for Pandas
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Ask HN: Who wants to be hired? (October 2023)
Location: Boston
Remote: Yes
Willing to relocate: Yes
Technologies: talking to users, python, pandas/numpy, jupyter, js/ts
Résumé/CV: https://www.linkedin.com/in/paddymullen/
Email: [email protected]
In my next role, I want a broad mandate to make a meaningful impact within an organization by developing products that address genuine business challenges, with a preference for data related problems.
Recently I built the data table for Jupyter/Pandas that I have wanted for over a decade. The open source Buckaroo (https://github.com/paddymul/buckaroo) data table combines a performant table, summary statistics, and a low code UI to expedite common data analysis tasks.
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Ask HN: Who wants to be hired? (September 2023)
wanted for over a decade. The open source Buckaroo https://github.com/paddymul/buckaroo data table combines a performant table, summary statistics, and a low code UI to
- Ask HN: Who wants to be hired? (June 2023)
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Pandas AI – The Future of Data Analysis
This morning I added a "Related Projects" [3] Section to the Buckaroo docs. If Buckaroo doesn't solve your problem, look at one of the other linked projects (like Mito).
[1] https://github.com/approximatelabs/sketch
[2] https://github.com/paddymul/buckaroo
[3] https://buckaroo-data.readthedocs.io/en/latest/FAQ.html
What are some alternatives?
live_svelte - Svelte inside Phoenix LiveView with seamless end-to-end reactivity
electron-orbitals - Hydrogen electron orbitals, and the software to render them.
traefik-proxy - Production deployment for nextjs-prisma-boilerplate app.
resume
litestar - Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
resume - My résumé.
paperlb - A kubernetes network load balancer implementation
applin-rails-demo - Example of how to use applin-rails.
shared-recruiting-co - SRC (Shared Recruiting Co.) is an open-source, candidate-centric recruiting platform
resume - My latest resume
resume
resume