+1, beyond the most obvious reasons that companies are moving away from Excel (too much data to process, not enough robust automation features), there are important workflow management reasons that companies are making the transition.
More and more, we're hearing that companies want to use software engineering practices on their data analytics workflows -- things like version control, easily understanding what edits are applied by looking at the code, and even things like CI to automatically build dashboards from the most up to date data.
While you technically could build tooling around Excel to do a lot of these things, its much easier and already exists in the Python ecosystem.
+1, beyond the most obvious reasons that companies are moving away from Excel (too much data to process, not enough robust automation features), there are important workflow management reasons that companies are making the transition.
More and more, we're hearing that companies want to use software engineering practices on their data analytics workflows -- things like version control, easily understanding what edits are applied by looking at the code, and even things like CI to automatically build dashboards from the most up to date data.
While you technically could build tooling around Excel to do a lot of these things, its much easier and already exists in the Python ecosystem.