curriculum-vitae
buckaroo
curriculum-vitae | buckaroo | |
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3 | 10 | |
0 | 164 | |
- | - | |
5.7 | 8.9 | |
7 months ago | 9 days ago | |
TeX | Jupyter Notebook | |
The Unlicense | 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.
curriculum-vitae
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Ask HN: Who wants to be hired? (September 2023)
Location: Canada
Remote: Only
Willing to relocate: No
Technologies: Various optimization tools (CPLEX, Gurobi, OR-Tools, etc), Python, C++, Bash, Linux, and others
Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mai...
Website: https://www.pedtsr.ca
Email: See CV
I have a PhD in computer engineering, specializing in operations research. I can translate all kinds of real-world problems into mathematical models that can be solved via integer programming, constraint programming, or other methods. I'm the father of four young children, so I'm looking for flexible/remote part-time work. I'm also open to contract work (see my comment in "Freelancer? Seeking freelancer?" thread for more details).
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Ask HN: Freelancer? Seeking freelancer? (April 2023)
SEEKING WORK | Canada | Remote
I have a PhD in operations research---essentially, I solve optimization problems. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or other methods.
I'm currently working on a column generation-based daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of the user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I'm aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.
Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mai...
Contact me: https://www.pedtsr.ca/work.html
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Ask HN: Who wants to be hired? (July 2022)
Location: Canada
Remote: Only
Willing to relocate: No
Technologies: Various solvers (CPLEX, Gurobi, Or-Tools, etc.), Python, C++, Bash, Linux, and others
Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mas...
Email: See CV
I have a PhD in optimization / operations research. I'm the father of four young children, so I'm looking for flexible/remote part-time work, and/or contract work. I can work between 20 and 30 hours a week (this varies depending on whether kids get sick, etc).
My specializations revolve around optimization and operations research. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or various forms of metaheuristics. I could manage my way around new solvers and programming languages if the project required it.
I'm currently working on a daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of a user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I am aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.
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?
haskell-pcap-sniffer
electron-orbitals - Hydrogen electron orbitals, and the software to render them.
Resume - Add latex resume here in case online latex generators blow up
resume
unkot
resume - My résumé.
llama2.f90 - LLaMA2 model in Fortran [Moved to: https://github.com/rbitr/llm.f90]
applin-rails-demo - Example of how to use applin-rails.
the-drugulator - Learn about combinations of recreational drugs
resume - My latest resume
eloquent-memoize - Package to memoize dynamic attributes using the Eloquent ORM
resume