Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Overview PyCharm, DataSpell, and VS Code offer strong features for large projects.JupyterLab and Google Colab simplify data ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

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 ...

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 ...

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 ...