For CSV files, pd.read_csv() is solid, but if speed's an issue, try the `engine='c'` param (default in pandas).
For bigger files, chunks help—use `chunksize=10000` to read pd dataframe from local in batches.
Also, check out `dask.dataframe` if you're dealing with massive datasets—it's like pandas but lazy-loaded.
For Excel, `pd.read_excel()` works, but it's slower. Maybe export to CSV first if possible?
JSON? `pd.read_json()` is fine, but nested data can be messy—flatten it first!
For bigger files, chunks help—use `chunksize=10000` to read pd dataframe from local in batches.
Also, check out `dask.dataframe` if you're dealing with massive datasets—it's like pandas but lazy-loaded.
For Excel, `pd.read_excel()` works, but it's slower. Maybe export to CSV first if possible?
JSON? `pd.read_json()` is fine, but nested data can be messy—flatten it first!