About Python 3.11 Series
Python is now regularly linked to the greatest advances in Data Science and AI. Developers value its accessibility, extensive collection of in-built third-party libraries, and ecosystem. The Python community has proceeded toward several significant enhancements, along with:
- Considerable performance gain
- Enhanced error management and debugging
- Several quality-of-life upgrades to standard libraries, with the launch of the final stable version of 3.11 on October 24, 2022.
The most notable recent release of the Python programming language, Python 3.11.0, includes numerous enhancements and brand-new features that we’ll learn here.
Introducing the Newest Python 3.11 Features
There are countless bug fixes, enhancements, and upgrades in the Python 3.11 features changelog, many of which might not ever come to your eye. When the stable release is available, a few crucial additional features could greatly enhance your Python productivity. The following are a few of the significant Python 3.11 features and modifications:
General Changes
| Python Enhancement Proposal | PEP Proposition | Description |
|---|---|---|
| PEP 657 | Fine-Grained Error Locations in Tracebacks | Rather than just pointing to the line where the mistake occurred, the analyzer will now also print the precise expression that produced the error. |
| PEP 654 | Exception Groups and except* | PEP 654 incorporates features to the language that let applications generate and manage many unrelated exceptions at once. |
| PEP 680 | The Standard Library provides TOML parsing support. | Compelling companies to sell a TOML parser package or resort to other unfavourable workarounds, this poses a bootstrapping difficulty for Python development tools and poses significant problems for repackagers and other downstream users. |
| gh-90908 | Introduce task groups to asyncio | – |
| gh-34627 | Regular expressions now enable possessive quantifiers and atomic grouping. | – |
Typing and typing language changes
| Python Enhancement Proposal | PEP Proposition | Description |
|---|---|---|
| PEP 673 | Fine-Grained Error Locations in Tracebacks | Rather than just pointing to the line where the mistake occurred, the analyzer will now also print the precise expression that produced the error. |
| PEP 654 | Self Type | An easy and natural approach to label operations that yield an instance of their class is made available by the latest Self annotation. |
| PEP 646 | Variadic Generics | With the addition of TypeVarTuple in PEP 646, parameterization with just about any variety of types is now possible. |
| PEP 675 | Arbitrary Literal String Type | Any literal string format may be specified as a function parameter by using the latest LiteralString annotation. |
| PEP 655 | Individual TypedDict objects might be marked as required or else as potentially missing | It is simple to indicate whether particular things in a TypedDict must be included by using the labels Required and NotRequired. This was formerly only attainable through descent. |
| PEP 681 | Data Class Transforms | A class, metaclass, or function that is also a decorator can be decorated using dataclass_transform. |
A Quick Insight Into The Recently Out Python 3.11 Features Update
Promising findings are already coming from the Faster CPython Project including Improved exception groups and except*, quicker Python, quicker tracebacks, and many other things. As per the statistics, when compared to Python 3.10, Python 3.11 is approximately 10 to 60% quicker. On the effective assessment suite, there has been observed an increase in speed of 1.22 times on average. Don’t just stop here, churn more details on this fresh update of Python 3.11 features with our expert panel of developers.
