Fundamentals 4 min read

November TIOBE Programming Language Rankings: Trends and Insights

The November TIOBE ranking reveals Python, C, Java, and C++ maintaining top positions with steady growth, while Rust holding 20th place, and languages like Ruby, Swift, and Visual Basic declining, and Fortran falling out of the top 20, highlighting shifting trends in programming language popularity.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
November TIOBE Programming Language Rankings: Trends and Insights

The article begins with a promotional reminder to follow and star the public account for daily Python skill updates.

It references a popular TV drama where a programming prodigy writes "love code" in C, sparking a wave of C-language heart-shaped code among netizens, and humorously notes a scene where a C-language midterm exam is written in a Python file.

Transitioning to the main content, the piece presents the November TIOBE programming language ranking. The top four languages—Python, C, Java, and C++—continue to dominate the market with a combined share of 54.99% and show positive growth. Rust retains its 20th position, praised for its unique speed‑and‑safety combination. Ruby, Swift, and Classic Visual Basic have slipped compared to the same month last year, while Fortran drops out of the top 20 and Scratch jumps from 23rd to 17th.

Additional sections include visual charts of the top‑20 rankings, the trend of the Top 10 languages, and a "Programming Language Hall of Fame" highlighting the fastest‑rising language over the past year.

The article concludes with a call to action, offering a free Python public‑course QR code and links to related articles about programmer career challenges and industry trends.

JavaRustCprogramming languagesTIOBE indexlanguage popularity
Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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