Python is the programming language of the year 2024 on TIOBE’s list

Python took first place in the TIOBE index showing the popularity of programming languages ​​summarizing the year 2024 on the leaderboardafter its popularity increased by 9.3 percent during the year based on the specific calculation of the index. This is significantly higher than that of the other leading languages, in the case of Java 2.3 percent, and JavaScript 1.4 percent. This is the fourth time that Python has taken the top spot, previously this happened in 2021, 2020 and 2018.

In addition, two other interesting movements could be noticed: the C language lost a lot of its popularity (-2.59 percent), so it overtook C++ and Java, the primary reason of which may be that in many embedded software systems, C is being replaced by the use of C++. In addition, PHP has apparently permanently dropped out of the top ten list, while Go is gaining strength. During 2024, Rust and Kotlin received a lot of attention, and based on the current numbers, it seems that although the memory-safe language is being used by more and more people, it is not managing to become as widespread as the most popular languages. In the case of Kotlin, there was no breakthrough, and moreover, it fell out of the top 20.

According to TIOBE, two promising young languages ​​can be highlighted: Rust’s competitor, Zig, rose from 149th place to 61st place, while Mojo, released just two years ago, jumped from 194th position to 68th place.

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GitHub is also seeing the rise of Python reported at the end of 2024, according to the annual report, JavaScript is no longer GitHub’s most used programming language, after Python, which has been in second place since 2019, has overtaken Java for the first time. The strengthening of Python also indicates that its use has become more decisive in the open source community beyond traditional software development, among other things among data scientists and the number of projects related to AI-related developments has increased.

The TIOBE index is based on a formula that gathers data from a number of aggregators, including searches on leading search engines such as Google, Yahoo and Bing, as well as sites such as Wikipedia. The community index also calculates with data obtained from engineers, training courses, and suppliers. Although many people are skeptical about whether this can really measure the popularity of a programming language, it provides an insight into where the attention of the development community is directed.

Source: www.hwsw.hu