Happy new year to all of you. I hope you all have a great start of the
year! And how to best celebrate that we have left 2020 behind that with a
new Python alpha release? :) Go get it here:
*Major new features of the 3.10 series, compared to 3.9*
Python 3.10 is still in development. This releasee, 3.10.0a4 is the second
of six planned alpha releases.
Alpha releases are intended to make it easier to test the current state of
new features and bug fixes and to test the release process.
During the alpha phase, features may be added up until the start of the
beta phase (2021-05-03) and, if necessary, may be modified or deleted up
until the release candidate phase (2021-10-04). Please keep in mind that
this is a preview release and its use is not recommended for production
Many new features for Python 3.10 are still being planned and written.
Among the new major
new features and changes so far:
* PEP 623 – Remove wstr from Unicode
* PEP 604 – Allow writing union types as X | Y
* PEP 612 – Parameter Specification Variables
* PEP 626 – Precise line numbers for debugging and other tools.
* bpo-38605: from __future__ import annotations (PEP 563) is now the
* PEP 618 – Add Optional Length-Checking To zip.
(Hey, fellow core developer, if a feature you find important is missing
from this list, let me know.)
The next pre-release of Python 3.10 will be 3.10.0a5, currently scheduled
*And now for something completely different*
The Majumdar–Papapetrou spacetime
one surprising solution of the coupled Einstein-Maxwell equations that
describe a cluster of static charged black holes with the gravitational and
the electrostatic forces cancelling each other out. Each one of these many
black holes of the multi-black holes system has a spherical topology and
follows the Reissner–Nordström metric
Unsurprisingly, the movement of a test particle in such spacetime is not
only a very chaotic system but also has some fractals
<https://arxiv.org/abs/gr-qc/9502014> hiding the complexity of its movement.
Regards from cold London,
Pablo Galindo Salgado
I'm pleased to announce version 0.11.1 of Datatest: Test driven
data-wrangling and data validation.
Test driven data-wrangling is a process for taking data from a source of
unverified quality or format and producing a verified, well-formatted
dataset. It repurposes software testing practices for data preparation and
quality assurance projects.
* GitHub: https://github.com/shawnbrown/datatest
* PyPI: https://pypi.org/project/datatest/
* Docs: https://datatest.readthedocs.io/en/stable/
This is a bug-fix release and should be a drop-in replacement for 0.11.0.
* Fixed validation, predicate, and difference handling of non-comparable
* Fixed bug in normalization of queries from `squint` package.
* Changed failure output to improve error reporting with `pandas` accessors.
* Changed predicate failure message to quote code objects using backticks.