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# Go hands-on with Python 3.15

**[InfoWorld](https://daily.dev/sources/infoworld)** · 3 min read · 0 upvotes · 0 comments

## Summary

Python 3.15, due in fall 2026 and already available as a release candidate, brings lazy imports, the new Tachyon sampling profiler, an immutable frozendict type, and continued improvements to the built-in JIT compiler. Roundup also covers related ecosystem news: running Numba in the browser via WebAssembly, Mojo going open source under Apache 2, efforts to scale NumPy on free-threaded Python, and a security vulnerability found in Python's str.lower() method.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4211583/go-hands-on-with-python-3-15.html>

## Questions this post answers

### What new features does Python 3.15 add?

Python 3.15, due in fall 2026 and already available as a release candidate, adds lazy imports that defer module execution until first use without requiring code changes, a new sampling profiler called Tachyon that inspects running code without instrumentation or restarts, an immutable frozendict type, and continued improvements to Python's built-in JIT compiler.

_Track Python 3.15's rollout and what it means for your codebase with daily.dev._

### What is Python's frozendict type used for?

Frozendict is Python's new built-in immutable dictionary type, allowing a dictionary to be used as a key in another dictionary or sealed against further modification. It addresses a long-requested need for an immutable mapping type built directly into the language rather than relying on third-party workarounds.

_Developers adopting new Python data types can follow frozendict coverage on daily.dev._

### Is Mojo open source now?

Mojo, the Python-challenging language for scientific computing built to resemble a 'Rust lite' language, is now freely available under an Apache 2 license, opening it up for tinkering and forking. It was previously positioned as a proprietary alternative aimed at high-performance numerical and AI workloads.

_Evaluating Mojo against Python for performance-heavy work is easier tracked on daily.dev._

## Similar posts on daily.dev

- [Exciting Python features are on the way](https://daily.dev/posts/exciting-python-features-are-on-the-way-u7lhkabec) · InfoWorld · 0 upvotes · 0 comments

---

Tags: [#python](https://daily.dev/tags/python), [#performance](https://daily.dev/tags/performance), [#numpy](https://daily.dev/tags/numpy), [#compiler-optimization](https://daily.dev/tags/compiler-optimization)

[View this post on daily.dev](https://daily.dev/posts/go-hands-on-with-python-3-15-ntvozjefq)

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