Python 3.14: Cool New Features for You to Try

Python 3.14 was released on October 7, 2025. While many of its biggest changes happen under the hood, there are practical improvements you’ll notice right away. This version sharpens the language’s tools, boosts ergonomics, and opens doors to new capabilities without forcing you to rewrite everything.

In this tutorial, you’ll explore features like:

• A smarter, more colorful REPL experience
• Error messages that guide you toward fixes
• Safer hooks for live debugging
• Template strings (t-strings) for controlled interpolation
• Deferred annotation evaluation to simplify typing
• New concurrency options like subinterpreters and a free-threaded build

If you want to try out the examples, make sure you run Python 3.14 or a compatible preview release.

(venv) $ 𝜋thon
Python 3.14.0 (main, Oct  7 2025, 17:32:06) [GCC 14.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>

As you read on, you’ll find detailed examples and explanations for each feature. Along the way, you’ll get tips on how they can streamline your coding today and prepare you for what’s coming next.

Take the Quiz: Test your knowledge with our interactive “Python 3.14: Cool New Features for You to Try” quiz. You’ll receive a score upon completion to help you track your learning progress:

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Interactive Quiz

Python 3.14: Cool New Features for You to Try

In this quiz, you'll test your understanding of the new features introduced in Python 3.14. By working through this quiz, you'll review the key updates and improvements in this version of Python.

Developer Experience Improvements

Python 3.14 continues the trend of refining the language’s ergonomics. This release enhances the built-in interactive shell with live syntax highlighting and smarter autocompletion. It also improves syntax and runtime error messages, making them clearer and more actionable. While these upgrades don’t change the language itself, they boost your productivity as you write, test, and debug code.

Even Friendlier Python REPL

Python’s interactive interpreter, also known as the REPL, has always been the quickest way to try out a snippet of code, debug an issue, or explore a third-party library. It can even serve as a handy calculator or a bare-bones data analysis tool. Although your mileage may vary, you typically start the REPL by running the python command in your terminal without passing any arguments:

$ python
Python 3.14.0 (main, Oct  7 2025, 17:32:06) [GCC 14.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>

The humble prompt, which consists of three chevrons (>>>), invites you to type a Python statement or an expression for immediate evaluation. As soon as you press Enter, you’ll instantly see the computed result without having to create any source files or configure a project workspace. After each result, the familiar prompt returns, ready to accept your next command:

>>> 2 + 2
4
>>>

For years, the stock Python REPL remained intentionally minimal. It was fast and reliable, but lacked the polish of alternative shells built by the community, like IPython, ptpython, or bpython.

That started to change in Python 3.13, which adopted a modern REPL based on PyREPL borrowed from the PyPy project. This upgrade introduced multiline editing, smarter history browsing, and improved Tab completion, while keeping the simplicity of the classic REPL.

Python 3.14 takes the interactive shell experience to the next level, introducing two new features:

1. Syntax highlighting: Real-time syntax highlighting with configurable color themes
2. Code completion: Autocompletion of module names inside import statements

Together, these improvements make the built-in REPL feel closer to a full-fledged code editor while keeping it lightweight and always available. The Python REPL now highlights code as you type. Keywords, strings, comments, numbers, and operators each get their own color, using ANSI escape codes similar to those that already color prompts and tracebacks in Python 3.13:

Notice how the colors shift as you type, once the interactive shell has enough context to parse your input. In particular, tokens such as the underscore (_) are recognized as soft keywords only in the context of pattern matching, and Python highlights them in a distinct color to set them apart. This colorful output also shows up in the Python debugger (pdb) when you set a breakpoint() on a given line of code, for example.

Additionally, a few of the standard-library modules can now take advantage of this new syntax-coloring capability of the Python interpreter:

The argparse module displays a colorful help message, the calendar module highlights the current day, the json module pretty-prints and colorizes JSON documents. Finally, the unittest module provides a colorful output for failed assertions to make reading and diagnosing them easier.