Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

A survey of 9,500 developers shows what Python programmers use and what they work on. See how typical you are as a Python developer A new survey of Python developers shows data analysis and web ...

Data science is often cited as one of the main reasons for Python's growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using ...

Python Software Foundation survey finds that a significant number of Python developers are still using Python 2 for data analysis, computer graphics, and devops. Python 3 was by far the choice over ...

As generative AI continues to evolve at a rapid pace, programmers face a new challenge: mastering meaningful artificial intelligence. It seems that every workplace is pushing towards leveraging the ...

Data analysis and machine learning in particular have moved up in Python developers' priorities, according to the 2018 Python Developer survey. Today, 58 percent who use Python do so for data analysis ...

CData CLI, is a command-line tool that enables developers to build and test integrations using CData’s connectors. The company says the tool is optimized for AI-assisted development environments while ...

CData Software today launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...