I’ve been working on a data processing script in Python and it’s getting pretty slow with large CSV files. Any tips on how to speed it up? Should I look into using pandas, Cython, or something else?

Try using pandas if you aren’t already—its vectorized operations are much faster than looping in pure Python. Also, read the CSV with `dtype` arguments to avoid type inference overhead. For critical sections, Cython or Numba can give you C‑level speed with relatively little code change.

Don’t forget about multiprocessing. If the file can be split into chunks, processing each chunk in a separate process can utilize all CPU cores. The `concurrent.futures` module makes this straightforward.