kedro #announcements

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Yetunde

06/09/2023, 4:24 PM

K Presenting the new Kedro K <!here> We're excited to announce Kedro's rebranding! The new look reflects our vision of reducing naive tech debt in data science and building a global community. We've celebrated with updates across

kedro

kedro-viz

awesome-kedro

, our docs, and our website. In our releases, we also urge you to look for new features like variable interpolation with our

OmegaConfigLoader

in Kedro 0.18.10 and multi-user experiment tracking from Kedro-Viz 6.2.0. How do you learn more? • Have a look at our rebranding blogpost • Check our branding guidelines

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Juan Luis

06/22/2023, 9:38 AM

New blog post: How to build a custom Kedro runner K In this post our colleague @Nok Lam Chan explains how to write an efficient custom Kedro pipeline runner that continues executing a set of nodes after encountering non-catastrophic failure points. Enjoy! https://kedro.org/blog/build-a-custom-kedro-runner (Source code at https://github.com/kedro-org/kedro/blob/feat/softfail-runner/kedro/runner/softfail_runner.py)

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Juan Luis

06/26/2023, 8:57 AM

has renamed the channel from ‘general’ to ‘announcements’

Juan Luis

07/03/2023, 2:54 PM

Hi <!channel>, we are excited to announce that Kedro
0.18.11
is out! K

TLDR: In this release, we added added a new
databricks-iris
official starter and significantly improved the documentation around Databricks deployments. We also fixed some bugs around micropackaging and remote datasets, updated the documentation for Prefect 2.0, and deprecated some class names.

Kedro 0.18.11 is a non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.11

conda/mamba/micromamba install -c conda-forge kedro=0.18.11

🚀 Major Features and improvements • Added

databricks-iris

as an official starter. 🪲 Bug fixes and other changes • Reworked micropackaging workflow to use standard Python packaging practices. • Make

kedro micropkg package

--verbose

. • Compare for protocol and delimiter in

PartitionedDataSet

to be able to pass the protocol to partitions which paths starts with the same characters as the protocol (e.g.

<s3://s3-my-bucket>

). ✍️ Documentation changes • Significant improvements to the documentation that covers working with Databricks and Kedro, including a new page for workspace-only development, and a guide to choosing the best workflow for your use case. • Updated documentation for deploying with Prefect for version 2.0. ⚠️ Upcoming deprecations • Renamed dataset and error classes, in accordance with the Kedro lexicon. Dataset classes ending with "DataSet" and error classes starting with "DataSet" are deprecated and will be removed in 0.19.0. 💌 Community contributions • Many thanks to jmalovera10, @Rahul Kumar, @Julius Hetzel, jacobweiss2305, eduardoconto and tomasvanpottelbergh for contributing PRs to this release! 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 💛

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Nero Okwa

07/07/2023, 4:43 PM

KKKKK Kedro-Viz

6.3.2

is out! KKKKK @here we're excited to announce that Kedro-Viz 6.3.2 is out! 🥳 Kedro-Viz is the interactive development tool for building and visualising data science pipelines with Kedro. It enables you to monitor the status of your ML project, present it to stakeholders, and smoothly bring new team members onboard. Kedro-Viz also comes with an experiment tracking feature enabling you to compare different runs of a Kedro project, and you can also preview code and datasets. We've added a new feature and several bug fixes in the 6.3 versions. Check out the demo and get full details in the release notes. 🚀 What can you expect in this release? • Added validation for layers in transcoding datasets. • Added support for dataset preview as specified in the Kedro catalog under metadata. • Updated the UI with the new Kedro rebrand look and feel. • Enabled original node input and output names in metadata panel. 🪲 Bug fixes and other changes • Fixed large pipeline layout warning message. • Fixed flowchart not updating on back/forward clicks after selecting a registered pipeline. • Fixed broken URL link between experiment tracking and flowchart in a non-default pipeline. How do I get the latest release? • Python:

pip install kedro-viz==6.3.2

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Shareable URLs for Kedro-Viz pipeline visualisation. Follow our roadmap for more updates, and suggest future features to the community. Until next time, The Kedro Team

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LinenBot

07/31/2023, 9:04 AM

Welcome!

tynan.debold

joined #announcements.

Merel

08/01/2023, 4:13 PM

Hi <!channel>, we are thrilled to announce some new releases. 📣 Kedro 0.18.12
is now available! K and so are kedro-datasets
1.5.1
& kedro-airflow
0.6.0
📣

TLDR: In the new release of Kedro, we introduce the dataset factories feature, activated all built-in resolvers by default for OmegaConfigLoader (except for oc.env), and added a new CLI command to rank dataset factories. We made some important bug fixes and updated the documentation, notably recommending ruff as the linter.

See the 🧵 for details of each release. 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 💛

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Nero Okwa

08/18/2023, 8:34 AM

KKKKK Kedro-Viz 6.4.0 is out! KKKKK @here we're excited to announce that Kedro-Viz 6.4.0 is out! 🥳🥳🥳 Kedro-Viz is the interactive development tool for building and visualising data science pipelines with Kedro. It enables you to debug and monitor the status of your ML project, present it to stakeholders, and easily onboard new team members. Kedro-Viz also enables you to preview your datasets, and perform experiment tracking. We've added 2 major new feature and several bug fixes in the 6.4 version. Check out the demo and get full details in the release notes. 🚀 What can you expect in this release? • Added feature hint cards to highlight key features of Kedro-Viz. • Added support for displaying dataset statistics in the metadata panel for further investigation. 🪲 Bug fixes and other changes • Fixed dataset and global toolbar error with standalone React component. • Fixed incorrect rendering of datasets in modular pipelines. • Fixed broken SVG/PNG exports in light theme. • Fixed

ImportError

as kedro-datasets is now lazily loaded. • Fixed Sidebar search result based on Pretty name setting. • Fixed issue of encountering a black page in Safari when interacting with modular pipelines. How do I get the latest release? • Python:

pip install kedro-viz==6.4.0

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Shareable URLs for Kedro-Viz pipeline visualisation. • Investigating the debugging use case of Kedro-Viz. Try these features and provide feedback. Follow our roadmap for more updates, comment on the tickets, and suggest future features to the community. Until next time, The Kedro Team KK

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Juan Luis

08/18/2023, 2:40 PM

hi <!channel>, one more release today: kedro-datasets
1.5.3 is out! if you've been having problems installing the optional dependencies ("extras") lately, hopefully this release addresses them all. thank you for your patience! on the other hand, @FlorianGD contributed a fix to

api.APIDataSet

so that now it doesn't perform an extra encoding of the responses, and @Flavien contributed an improvement to

databricks.ManagedTableDataSet

so that now it's read-only by default. thanks a lot! kedroid read the complete release notes online: https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-1.5.3 until next time, The Kedro Team 💛

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LinenBot

08/24/2023, 12:08 PM

Welcome!

emil

joined #announcements.

Juan Luis

08/31/2023, 2:34 PM

Hi <!channel>, we are excited to announce several new releases: 📣 Kedro
0.18.13
and kedro-datasets
1.6.0
are available! K

TLDR: In this new release of Kedro we finally introduce official support for Python 3.11, as well as some new
OmegaConfigLoader
features, a new
kedro catalog resolve
command, and a leaner project structure. We also made significant documentation improvements around the Data Catalog and the datasets. Preparations for 0.19.0 are underway!

Kedro 0.18.13 is a non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.13

conda/mamba/micromamba install -c conda-forge kedro=0.18.13

🚀 Major Features and improvements • Added support for Python 3.11. • Added new

OmegaConfigLoader

features: registering of custom resolvers through

CONFIG_LOADER_ARGS

and support for global variables. • Added

kedro catalog resolve

CLI command that resolves dataset factories in the catalog with any explicit entries in the project pipeline. • Implemented a flat

conf/

structure for modular pipelines and updated

kedro pipeline create

and

kedro catalog create

accordingly. • Made various updates to the Kedro project template and Kedro starters: use of

OmegaConfigLoader

, transition from

setup.py

pyproject.toml

, and flat

conf/

structure. 🪲 Bug fixes and other changes • Updated

OmegaConfigLoader

to ignore config from hidden directories like

.ipynb_checkpoints

. ✍️ Documentation changes • Restructure beginner and advanced pages about the Data Catalog and datasets. • Moved contributor documentation to the GitHub wiki. • Updated example of using generator functions in nodes. • Added migration guide from the

ConfigLoader

and the

TemplatedConfigLoader

to the

OmegaConfigLoader

. ⚠️ Upcoming deprecations • The

ConfigLoader

and the

TemplatedConfigLoader

are deprecated and will be removed in the

0.19.0

release. •

AbstractDataSet

becomes

AbstractDataset

and

AbstractVersionedDataSet

becomes

AbstractVersionedDataset

, old names are deprecated and will be removed in 0.19.0. • Using the

layer

attribute at the top level is deprecated and it will be removed in Kedro

0.19.0

. Please move

layer

inside the

metadata -> kedro-viz

attributes. 🐍 Migration Tips for Python 3.11 • Users on Windows with Python >=3.8 should note we've pinned

pytables

3.8.0

due to compatibility issues. 💌 Community contributions Many thanks to @Laiza Milena Scheid Parizotto and @Jon Cohen for contributing PRs to this release! 🚨 This will be among the last releases in the 0.18.x line, very soon we will start working on 0.19.0. Stay tuned! 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 💛

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Nero Okwa

08/31/2023, 5:23 PM

KKKKK Kedro-Viz 6.5.0 is out! KKKKK Hi @channel we're excited to announce that Kedro-Viz 6.5.0 is out! 🥳🥳🥳 Kedro-Viz is the interactive development tool for building and visualising data science pipelines with Kedro. It enables you to debug and monitor the status of your ML project, present it to stakeholders, and easily onboard new team members. Kedro-Viz also enables you to preview your datasets, and perform experiment tracking. We've added a major new feature and several bug fixes in the 6.5 version. Check out the demo and get full details in the release notes. 🚀 What can you expect in this release? • Added support for Python 3.11. 🪲 Bug fixes and other changes • Removed Python upper bound requirements. • Fixed search for lambda or partial functions in the sidebar. • Added favicon to Kedro-Viz. How do I get the latest release? • Python:

pip install kedro-viz==6.5.0

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Shareable URLs for Kedro-Viz pipeline visualisation. • Investigating the debugging use case of Kedro-Viz. Try these features and provide feedback. Follow our roadmap for more updates, comment on the tickets, and suggest future features to the community. Until next time, The Kedro Team KK

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LinenBot

09/11/2023, 1:19 PM

Welcome!

jonathan_daniel

joined #announcements. Also,

nok.lam.chan

joined.

Yetunde

09/26/2023, 4:48 PM

<!here> Today is a good day! 🚀 We're celebrating many things, including @Yolan Honoré-Rougé finally joining Kedro's Technical Steering Committee (TSC). He has made significant contributions to Kedro via

kedro-mlflow

kedro-pandera

, and he is thoughtful about progressing Kedro's roadmap and development. You'll experience him as a helpful community member in channels like #plugins-integrations. You can read more about our TSC. We're also celebrating the open sourcing of a new project that already integrates with Kedro. This is a QuantumBlack project that we've been excited about for a while, and it is called Vizro - I swear we did not name it. 🤡 Vizro is a toolkit for creating modular data visualisation applications, and it is built on Plotly and Dash. It integrates with Kedro and allows you to trigger pipeline re-runs from the dashboard views. 🚀 You can: • 📊 See a live demo • ⭐ Visit and star the GitHub repo (if you want) • 📚 Check out the documentation • 🦠 Read a Medium blog post about Vizro

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Jo Stichbury

09/27/2023, 9:11 AM

Some more great news about Kedro K 🍾 Last night, we collected a trophy from the Institute of Scientific and Technical Writers, as overall winner in their annual awards scheme. It's a huge achievement for Kedro, which has previously won a special mention from ISTC. We were up against some large teams of technical writers and it's recognition of the team's hard work to make our open-source docs accessible. The judges said:

The use of direct language with consideration given to different levels of expertise is very effective. This combined with the clear and user friendly navigation makes the documentation very attractive. The layout was really clear.

Thanks to all in the team for believing in great communication! 🤩 🏆 And to you the users for giving us feedback, and contributions, to guide us, inspire us, and make it a worthwhile and satisfying task.

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Juan Luis

10/03/2023, 2:11 PM

<!here> LF AI & Data just published this blog post that recognizes key contributors in Kedro K https://lfaidata.foundation/blog/2023/10/03/the-heartbeat-of-open-source-recognizing-key-contributors-in-lf-ai-datas-kedro-project/ our warmest gratitude to @marrrcin, @Yolan Honoré-Rougé, @datajoely, @Deepyaman Datta, Waylon Walker, @Olivia Lihn, Simon Brugman, @Iñigo Hidalgo, and Tam-Sanh Nguyen 👏🏼

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Jo Stichbury

10/06/2023, 8:35 AM

K Hey everyone! As you may have seen over on blog.kedro.org, we're so excited to be part of Hacktoberfest, and we need your help! Check out this issue to learn how you can contribute to Kedro projects, become a kedroid hacktoberfest2023 and make a difference. Let's get coding! K

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Jo Stichbury

10/10/2023, 9:15 AM

📣 The first two Hacktoberfest contributions have been merged! Big shoutout and thank you to @Laiza Milena Scheid Parizotto and @Celsuss for their contributions kedroid hacktoberfest2023 🏆 🏅 If you're interested in picking up a ticket, take a look at the post above 👆 for details.

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Nero Okwa

10/11/2023, 3:18 PM

KKKKK Kedro-Viz 6.6.0 is out! KKKKK Hello, we're excited to announce that Kedro-Viz 6.6.0 is out! 🥳🥳🥳 We've added a major new feature: Publish and share Kedro-Viz on AWS S3, and several bug fixes in the 6.6 version. This feature enables users to easily share their pipeline visualisation with other stakeholders. Check out the demo and get full details in the release notes and brand new feature documentation. 🚀 What can you expect in this release? • Publish and share Kedro-Viz. Plus a few 🪲 Bug fixes and other changes 🧵 See the thread for more information! demo.kedro.org Kedro-Viz Kedro-Viz is an interactive development tool for building data science pipelines with Kedro.

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Nero Okwa

10/16/2023, 4:55 PM

Hello everyone 🙂, We've published Kedro-Viz video tutorials that cover how to get started with Kedro-Viz, setup and use experiment tracking and the preview datasets feature in Kedro-Viz. Kindly share, and let us know what other features we should record a tutorial for. Until next time, The Kedro Team.

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Jo Stichbury

10/17/2023, 8:36 AM

We've just published a blog post that's been a while in the making. Thanks to @Amanda who researched and wrote this, we can now bring you a post about adding Kedro features to a Jupyter notebook without converting it into a full-Kedroised project. I learned loads editing this, and hope you all enjoy the read. Find it here: https://kedro.org/blog/add-kedro-to-your-data-science-notebook

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Juan Luis

10/19/2023, 11:19 AM

Hi <!channel>, we are excited to announce that 📣 Kedro
0.18.14
is available! K > TLDR: In this new release of Kedro we added support to customise the pipeline directory structure and overriding the configuration keys, made substantial improvements to the documentation (including a page on how to use Kedro from Jupyter notebooks), and squashed a number of bugs. We had a record number of community contributions thanks to Hacktoberfest. Preparations for 0.19.0 are underway! Kedro 0.18.14 is the last non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.14

conda/mamba/micromamba install -c conda-forge kedro=0.18.14

🚀 Major Features and improvements • Allowed using of custom cookiecutter templates for creating pipelines with

--template

flag for

kedro pipeline create

or via

template/pipeline

folder. • Allowed overriding of configuration keys with runtime parameters using the

runtime_params

resolver with

OmegaConfigLoader

. 🪲 Bug fixes and other changes • Updated dataset factories to resolve nested catalog config properly. • Made

settings.py

optional. ✍️ Documentation changes • Added a Jupyter notebook example for spaceflights to illustrate how to incrementally add Kedro features. • Added new documentation about deploying a Kedro project with Amazon EMR Serverless. • Added new documentation about how to publish a Kedro-Viz project to make it shareable. • New TSC members added to the page and the organisation of each member is also now listed. ⚠️ Upcoming deprecations • Remember, all dataset classes will be removed from the core Kedro repository (

kedro.extras.datasets

). Install and import them from the

kedro-datasets

package instead. • All dataset classes ending with

DataSet

are deprecated and will be removed in Kedro

0.19.0

and

kedro-datasets

2.0.0

. Instead, use the updated class names ending with

Dataset

. • The starters

pandas-iris

pyspark-iris

pyspark

, and

standalone-datacatalog

are deprecated and will be archived in Kedro 0.19.0. •

PartitionedDataset

and

IncrementalDataset

have been moved to

kedro-datasets

and will be removed in Kedro

0.19.0

. Install and import them from the

kedro-datasets

package instead. kedroid hacktoberfest2023 Community contributions This release received the largest number of community contributions ever, thanks in large part to Hacktoberfest. A million thanks to @Laiza Milena Scheid Parizotto , @Miguel Angel Ortiz Marin, @R.X.M, @Iñigo Hidalgo, @Harmony, @Celsuss, and the rest of the contributors who aren't on this Slack for submitting PRs to this release! 🚨 This will (hopefully) be the last release in the 0.18.x line, next one will be 0.19.0. Stay tuned! Read the complete release notes on https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-01814 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 💛

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Nero Okwa

10/25/2023, 10:13 AM

KKKKK Kedro-Viz 6.6.1 is out! KKKKK Hi @channel, we're excited to announce that Kedro-Viz 6.6.1 is out! 🥳🥳🥳 Kedro-Viz is the interactive development tool for building and visualising data science pipelines with Kedro. It enables you to debug and monitor the status of your ML project, present it to stakeholders, and easily onboard new team members. Kedro-Viz also enables you to preview your datasets, and perform experiment tracking. We've added several improvements and bug fixes in this version. Check out the demo and get full details in the release notes. 🚀 What can you expect in this release? • Skipped optional plugins while running Kedro-Viz. 🪲 Bug fixes and other changes • Fixed a bug in Kedro-Viz experiment tracking to ensure backward compatibility with kedro-datasets. • Fixed improper display of 'run-command' inside the metadata panel. • Replaced semver with packaging. How do I get the latest release? • Python:

pip install kedro-viz==6.6.1

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Publish and share Kedro-Viz from the command line. • Publish and share Kedro-Viz on other platforms (beyond AWS). • Investigating the debugging use case of Kedro-Viz. Try these features and provide feedback. Follow our roadmap for more updates, comment on the tickets, and suggest future features to the community. Until next time, The Kedro Team KK

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Juan Luis

10/26/2023, 7:00 AM

more releases this week! 🔥 K kedro-datasets 1.8 • Moved

PartitionedDataSet

and

IncrementalDataSet

from the core Kedro repo to

kedro-datasets

and renamed to

PartitionedDataset

and

IncrementalDataset

. • Added

polars.LazyPolarsDataset

, a

GenericDataSet

using Polars's lazy API. • Renamed

polars.GenericDataSet

polars.EagerPolarsDataset

to better reflect the difference between the two dataset classes. • Added a deprecation warning when using

polars.GenericDataSet

polars.GenericDataset

that these have been renamed to

polars.EagerPolarsDataset

• Delayed backend connection for

pandas.SQLTableDataset

pandas.SQLQueryDataset

, and

snowflake.SnowparkTableDataset

. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used. A kedro-airflow 0.7 • Added support for Python 3.11. • Added the

--all

CLI argument to

kedro-airflow

to convert registered all pipelines at once. • Simplify the output of the

kedro airflow create

command. • Fixed compatibility of

kedro-airflow

with older versions of the config loaders (

kedro<=0.18.2

). • Removed support for Python 3.7. docker kedro-docker 0.4 • Added support for Python 3.11. • Removed support for Python 3.7. 📡 kedro-telemetry 0.3 • Added support for Python 3.11. • Removed support for Python 3.7. many thanks to our community contributors Peter Bludau, Alistair McKelvie, @H. Felix Wittmann, @Matthias Roels, and Simon Brugman 👏🏼 python notice that we dropped Python 3.7 and added support for Python 3.11 across the board. going forward, for kedro-datasets we will follow NEP 29 (hence a 42 month support window - Python 3.8 will be dropped soon!) and for kedro framework and the other official plugins we will drop Python versions that reach their end-of-life status without making a major release. (And yes, Python 3.12 is coming soon!) Until next time, The Kedro Team 💛

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Juan Luis

11/02/2023, 11:33 AM

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Merel

11/07/2023, 9:46 AM

K Dear Kedro users, The Kedro Framework team is currently working on our next release, Kedro
0.19.0
, which we’re aiming to get to you by the end of the year. There’s a lot happening behind the scenes and we wanted to give you a heads-up about a few changes that you can adopt now to be ready when

0.19.0

hits the streets. 1. We’ve written migration guides to help you transition from the legacy

ConfigLoader

and

TemplatedConfigLoader

which will be removed in Kedro

0.19.0

in favour of

OmegaConfigLoader

2. Datasets move to their own package kedro-datasets and out of the Kedro core package in Kedro

0.19.0

. You can make the change to use that package now. Further, from version

2.0.0

kedro-datasets

, which will be released together with Kedro

0.19.0

, all dataset names have changed to replace the capital letter “S” in “DataSet” with a lower case “s”. For example,

CSVDataSet

is now

CSVDataset

. If you need help to update your projects in preparation of Kedro

0.19.0

or post release, please reach out to the team, we’re more than happy to help with this process. We are very excited about the changes we’re bringing you in this release and more detailed communications about all changes will go out when the release is done. If you are curious, you can already have a look at the preliminary

0.19.0

release notes: https://github.com/kedro-org/kedro/blob/develop/RELEASE.md#upcoming-release-0190 Until next time, The Kedro Team 💛

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Nero Okwa

11/17/2023, 5:18 PM

KKKKK Kedro-Viz 6.7.0 is out! KKKKK Hi @channel we're excited to announce that Kedro-Viz 6.7.0 is out! 🥳🥳🥳 Kedro-Viz is the interactive development tool for building and visualising data science pipelines with Kedro. It enables you to debug and monitor the status of your ML project, present it to stakeholders, and easily onboard new team members. Kedro-Viz also enables you to preview your datasets, and perform experiment tracking. We've added several improvements and bug fixes in this version. Check out the demo and get full details in the release notes. 🚀 What can you expect in this release? • Ensured Kedro-Viz works when hosted on a URL subpath. • Improved feedback for copy to clipboard feature. • Added Kedro-Viz CLI command deprecation warning. 🪲 Bug fixes and other changes • Fixed dataset factory patterns in Experiment Tracking. • Fixed shareable URL modal to appear across the app. How do I get the latest release? • Python:

pip install kedro-viz==6.7.0

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Publish and share Kedro-Viz from the command line. • Upgrade to React 18. kedroid hacktoberfest2023 Community contributions Many thanks to our Hacktoberfest community contribution by Alain Anghelidi, for submitting a PR for this release 👏🏼 You too can contribute by using these features, and providing feedback. Follow our roadmap for more updates, comment on the tickets, and suggest future features to the community. Until next time, The Kedro Team KK

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datajoely

11/22/2023, 12:34 PM

Hi, I'm happy to announce that a new release

0.10.0

kedro-vertexai

plugin is here! 🎉 I'm kinda new here so I'm not sure if this belongs to #announcements also, as it's a plugin update. We added the grouping feature to allow more freedom in shaping your pipelines at vertexai. More details in the docs: https://kedro-vertexai.readthedocs.io/en/0.10.0/source/02_installation/02_configuration.html#example https://github.com/getindata/kedro-vertexai/releases/tag/0.10.0 Slack conversation

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Juan Luis

11/29/2023, 11:44 AM

<!channel> big announcement: our 3 hour video introduction to Kedro is live! 🔥 https://youtube.com/playlist?list=PL-JJgymPjK5LddZXbIzp9LWurkLGgB-nY&si=EED0GXyBPxP5osUT the course covers an introduction to what Kedro is, a walkthrough of the Spaceflights tutorial using both Jupyter Notebook and VSCode, new stuff in Kedro 0.18 like dataset factories and the

OmegaConfigLoader

, how to use S3 and MinIO for your filepaths, and how to deploy Kedro to a Docker image or Airflow. we hope you enjoy it! K (also if you can spread the word in our socials, that would be fantastic! https://www.linkedin.com/posts/kedro-python_introduction-to-kedro-building-maintainab[…]384343457793-0uB7?utm_source=share&utm_medium=member_desktop)

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LinenBot

11/29/2023, 1:12 PM

Welcome!

Ruben s

joined #announcements. Also,

Ruben

joined.