Python is versatile, simple, and has been a longtime favorite - but its sluggishness, runtime issues, and mobile app development woes doom its future.

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

Statistical programming language R has fallen off Tiobe index's list of the 20 most popular languages, having spent three years in the top tier.

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Python thus possesses versatile capabilities of withering today's storms while also preparing for tomorrow: this is what makes it the programming language of the future.

Despite taking several years to become fully popularised, Python continues to dominate the programming sphere thanks to its clean and relatable syntax, readability, and ease of learning for ...

In a Q&A, Python programming language creator Guido van Rossum said it was "almost taboo to talk about a Python 4 in a serious sense" following the troubled migration from Python 2.0 to Python 3.0.