However, with the help of several libraries one can perform very fast computations. ![]() On its own, the reference implementation of the Python language is poorly suited to scientific computing as it is not compiled to machine instructions and will perform large calculations slowly. Python is an interpreted programming language that has become increasingly popular in high-performance computing environments because it’s available with an assortment of numerical and scientific computing libraries ( numpy, scipy, pandas, etc.), relatively easy to learn, open source, and free.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |