<!channel> This is a BIG day for us 🥁 🎉 We are excited to announce that Kedro

0.19

is available! K > TLDR: Kedro 0.19 is a new major release that contains some breaking changes with respect to 0.18.x. Among other things, we introduced project tools that help you further customise the result of

kedro new

, added support for soft merge in

OmegaConfigLoader

, improved the error messages when datasets are not found, and modernised the default project templates by having the build configuration and project metadata in

pyproject.toml

. Datasets are gone (you must install

kedro-datasets

instead), alternative config loaders are gone too (only

OmegaConfigLoader

remains) and some deprecated CLI commands were removed. To help you upgrade, we wrote a migration guide. *Y*ou can install Kedro 0.19 with:

pip install kedro==0.19.1

or

conda/mamba/micromamba install -c conda-forge kedro=0.19.1

(Yes, there's also 0.19.0, but we detected a problematic bug with it so we went ahead and released 0.19.1 with a fix immediately after) You can find the release highlights below, for the complete list of changes go to the release notes https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0191 and https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-0190 🚀 Major Features and improvements • Dropped Python 3.7 support. • Introduced project tools and example to the `kedro new` CLI flow. • The new spaceflights starters,

spaceflights-pandas

,

spaceflights-pandas-viz

,

spaceflights-pyspark

, and

spaceflights-pyspark-viz

can be used with the

kedro new

command with the

--starter

flag. • Added the

--conf-source

option to

%reload_kedro

, allowing users to specify a source for project configuration. • Added the functionality to choose a merging strategy for config files loaded with `OmegaConfigLoader`. • Modified the mechanism of importing datasets, raise more explicit error when dependencies are missing. • Added validation for configuration file used to override run commands via the CLI. • Moved the default environment

base

and

local

from config loader to

_ProjectSettings

. This enables the use of config loader as a standalone class without affecting existing Kedro Framework users. 🪲 Bug fixes and other changes • Added a new field

tools

to

pyproject.toml

when a project is created. • Reduced

spaceflights

data to minimise waiting times during tutorial execution. • Added validation to node tags to be consistent with node names. • Removed

pip-tools

as a dependency. • Accepted path-like filepaths more broadly for datasets. • Loosened pin for

kedro-telemtry

to fix dependency issues in

0.19.0

. 💥 Breaking changes • Removed

ConfigLoader

and

TemplatedConfigLoader

. • Removed

kedro.extras.datasets

and tests (use

kedro-datasets

instead) • Removed

PartitionedDataset

and

IncrementalDataset

from

<http://kedro.io|kedro.io>

(import them from

kedro-datasets

instead) •

logging

is removed from

OmegaConfigLoader

in favour of the environment variable

KEDRO_LOGGING_CONFIG

. • Removed support for defining the

layer

attribute at top-level within DataCatalog. • Renamed

data_set

and

DataSet

to

dataset

and

Dataset

everywhere. • Removed the

create_default_data_set()

method in the

Runner

in favour of using dataset factories to create default dataset instances. • The default project template now has only one

pyproject.toml

at the root of the project (containing both the packaging metadata and the Kedro build config). ✍️ Documentation changes • Added new top navigation to easily switch between Framework, Viz, and Datasets. • Added new search-as-you-type to improve the search experience. kedroid Community contributions A million thanks to Jeroldine Akuye Oakley, @Laiza Milena Scheid Parizotto, @Mustapha Abdullahi, @Adam Kells, Ajay Gonepuri for submitting PRs to this release! 🚨 If you are upgrading from Kedro 0.18, have a look at the migration guide. We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team 💛