Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
NumPy is a tool in the Data Science Tools category of a tech stack.
NumPy is an open source tool with 10.3K Github Stars and 3.5K Github Forks. Here’s a link to NumPy's open source repository on Github
59 companies use NumPy including Instacart, SendGrid, and SweepSouth.
Here’s a list of reasons why companies and developers use NumPy.
Here are some stack decisions and reviews by companies and developers who chose NumPy in their tech stack.