exploratory

The legal risks of a binding contract being formed merely because parties have exploratory discussions are pretty minimal.

It has the full set of things you need -- data preparation and cleaning, exploratory analysis, model building, and visualization.

Lots of time sunken in confirming the compiler that could have been used in exploratory programming.

In exploratory experimental science of this sort, sample size is not really a relevant measure.

It was a financial trip, supposed to enrich the government, not an exploratory one.

Ipython notebook completely changed the way I do data science, specifically because its iterative/exploratory capabilities are so powerful.

It's amazing how humans spend one third of their life asleep, but the science of sleep is still very exploratory and inconclusive.

In any case, Haskell supports exploratory programming just fine.

However, while F# is good for numerical analysis, it is not so good for the kind of interactive, exploratory work that Matlab and R are designed for.

This is a huge demerit for exploratory programming.

The methodology matters a lot here: Were a set of preselected questions answered by the data, or was there exploratory analysis of the data which uncovered these results?

It is a bottom-up process of growing of a layers of abstractions, similar to building if a house (but, paradoxically, without blueorints) which some people called 'exploratory programming'.

The downside is, "exploratory programming" means exploring how to convince the compiler to let you try an idea.

The time taken to learn the type system is a one-off but static typing has running costs in slowing down development, discouraging exploratory programming, extra cognitive load in reasoning about the type system, and "false positives" in disallowing otherwise correct programs.