3 ms·
> most tasks where you have < 1mil rows of data Now that's quite a generalization... most tasks? If all you're doing is a=b+c then perhaps. I work in HFT and e
by aldanor 8y ago
> most tasks where you have < 1mil rows of data
Now that's quite a generalization... most tasks? If all you're doing is a=b+c then perhaps. I work in HFT and even for trivial data exploration I would never even consider touching Excel; why would I? Even if it's just 100 rows. No thanks. Once you're comfortable with Python / its scientific stack, the exploratory part of data analysis becomes fast and trivial.
What I would like to see is notebooks becoming more IDE-like. This is already happening gradually, e.g. with JupyterLab replacing Jupyter notebooks ([1])
[1] https://jupyterlab.readthedocs.io/en/stable/ https://jupyterlab.readthedocs.io/en/stable/