I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...
Today, at its Ignite conference in Orlando, Microsoft is announcing the general availability of a new version of its flagship operational database, SQL Server 2017. SQL Server is a product I have ...
Microsoft announced a new extension pack for Visual Studio Code that bundles tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler. The new Python Data Science ...
Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...
Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...
What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? originally appeared on Quora: the place to gain and share knowledge, empowering ...