Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

For the second year in a row, the Tiobe index identified Python as the programming language whose popularity increased the most.

Microsoft's separate Jupyter notebooks extension aims to improve support for Python's programming language rivals.

At age 30, the Python programming language has never been used by more developers across more use cases than it is today.

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...