Hey! I feel you on the parsed data struggle. 😅 For accuracy, I’ve been using Pandas in Python with some custom validation functions. It’s not perfect, but it catches most errors.
For large datasets, I swear by Dask—it’s like Pandas but built for big data. Chunking helps, but Dask makes it way smoother.
Edge cases? Ugh, they’re the worst. I usually write unit tests for those specific scenarios. It’s tedious but saves headaches later.
For large datasets, I swear by Dask—it’s like Pandas but built for big data. Chunking helps, but Dask makes it way smoother.
Edge cases? Ugh, they’re the worst. I usually write unit tests for those specific scenarios. It’s tedious but saves headaches later.