Typically a mix of reasons: - Needing to interact with an existing codebase, and an existing developer base. If everyone knows and uses Python and only a few use Julia, it is too early to put Julia in production. If…
Exciting to hear -- I have used Julia for prototyping, and have found it to be excellent for that: In my experience there are still some rough edges as compared to the Python ecosystem (of course!), which together with…
Absolutely! Not to mention the often impressive performance of "general" MIP solvers. It is only a shame that the best ones there are commercial (Gurobi followed by Cplex). That said, Cbc is lovely in a wide range of…
A bit tangentially, this is also a great display of just how good readily available approximate solvers have gotten for a wide range of combinatorial optimization problems (like TSP). The LKH solver used here has rather…
The distinction is being made on end outputs -- is it more like a Powerpoint deck, or more like a production data pipeline -- not on techniques. "Machine learning" includes plenty of activities that can be used to…
Math PhD here. I have also had the chance to work with many bright "analytically-minded" people from other backgrounds while a management consultant. This article is spot on, and some of the behaviors really do seem…
Typically a mix of reasons: - Needing to interact with an existing codebase, and an existing developer base. If everyone knows and uses Python and only a few use Julia, it is too early to put Julia in production. If…
Exciting to hear -- I have used Julia for prototyping, and have found it to be excellent for that: In my experience there are still some rough edges as compared to the Python ecosystem (of course!), which together with…
Absolutely! Not to mention the often impressive performance of "general" MIP solvers. It is only a shame that the best ones there are commercial (Gurobi followed by Cplex). That said, Cbc is lovely in a wide range of…
A bit tangentially, this is also a great display of just how good readily available approximate solvers have gotten for a wide range of combinatorial optimization problems (like TSP). The LKH solver used here has rather…
The distinction is being made on end outputs -- is it more like a Powerpoint deck, or more like a production data pipeline -- not on techniques. "Machine learning" includes plenty of activities that can be used to…
Math PhD here. I have also had the chance to work with many bright "analytically-minded" people from other backgrounds while a management consultant. This article is spot on, and some of the behaviors really do seem…