aadyachinubhai
Joined 1 year ago
Karma
12
Submissions
34
Member since
May 1
Recent submissions
Comment · 5 days ago
I'm a part of the SciPy libraries development team and also maintain aeon (https://github.com/aeon-toolkit/aeon). Would you be open to referring me? :)
Comment · 1 month ago
Just for fun, I’m experimenting with converting NumPy code to SymPy and applying concolic testing principles.
Comment · 1 month ago
Huh ..., not another one!
Comment · 1 month ago
For LLM generated Python code, pydantic's monty is awesome:
https://github.com/pydantic/monty
Plus, pydantic is funded so it will be well maintained.
Comment · 1 month ago
The title of this post is super intriguing
Comment · 1 month ago
cool idea, how helpful is this in practice?
Comment · 1 month ago
maybe unrelated by NumPy and Cython have made it incredibly easy to write vectorized code.
Comment · 1 month ago
https://github.com/aadya940/scikit-verify
Trace Python+NumPy programs into SymPy formulas and check them symbolically, across all branches
Comment · 1 month ago
The reality is most of the pandas audience don't care about performance. Whenever performance is in the question people have always used polars, duckdb, dask etc. These users are usually software engineers and not data analysts. Agreed, that there is a real gap in latency and performance though!
Comment · 1 month ago
great, save the next generation from cognitive decline