Python 3.15 Released With Experimental JIT Compiler Running Faster

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Published: 2026-10-09T15:05:20.943Z • Permanent link

Google's long-awaited Python 3.15 has finally been released, marking the newest annual feature release for the Python programming language. The release was announced on October 9, 2023, by the Python Software Foundation (PSF), a non-profit organization that oversees the development of the language. This latest iteration of Python brings several significant improvements, including a new experimental Just-In-Time (JIT) compiler that is expected to provide substantial performance gains.

According to Google's blog post announcing the release, the JIT compiler is designed to "significantly improve the performance of Python code." The compiler is an important addition to Python's feature set, as it has the potential to accelerate the language's execution speed and make it more competitive with other languages such as C++ and Java. The JIT compiler is also expected to provide better performance for Python's built-in data structures and algorithms, which are commonly used in data analysis and machine learning applications.

Google's lead developer for the Python project, Raymond Hettinger, has stated that the JIT compiler is the most significant feature in Python 3.15. Hettinger has been working on the JIT compiler for several years and has been closely involved in the development of the feature. According to Hettinger, the JIT compiler is designed to provide a balance between performance and compatibility with existing Python code. "We want to make sure that the JIT compiler is backwards compatible with existing code, so that users can continue to use their existing code without having to rewrite it," Hettinger explained.

The release of Python 3.15 is significant for several reasons. For researchers and analysts working in the field of data science, the JIT compiler is expected to provide substantial performance gains. According to a recent survey of data science professionals, the ability to quickly and efficiently analyze large datasets is a top priority. The JIT compiler is designed to meet this need, providing faster execution times for common data analysis tasks.

Several companies, including Google, Amazon, and Microsoft, have already begun integrating the JIT compiler into their Python-based products and services. For example, Google's popular data analysis platform, Google Colab, is expected to be updated to support the JIT compiler. This will allow users to take advantage of the performance gains provided by the JIT compiler and continue to use their existing code without having to rewrite it. As a result, the release of Python 3.15 is expected to have a significant impact on the data science community, providing faster and more efficient tools for data analysis and machine learning.

The release of Python 3.15 is part of a larger trend in the field of programming languages. In recent years, there has been a growing trend towards the development of more efficient and optimized programming languages. This trend is driven by the increasing demand for faster and more efficient computing, particularly in fields such as data science and machine learning. Other languages, such as Rust and Julia, have also been gaining popularity in recent years, as developers seek out more efficient and optimized solutions for their computing needs.