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Juan Luis

04/24/2023, 11:01 AM

<!everyone> alert Open workshop alert: Learn how to refactor your Jupyter notebooks into maintainable data science code using Kedro! K Join me on May 4th at 14:00 UTC for a 2 hour, hands-on, open workshop on how to use Kedro to turn your Jupyter notebooks into maintainable science code. Here is what we will cover: K Introduction to Kedro K Using Kedro from Jupyter K Creating your data catalog K Refactoring your code into a Python reusable library K Creating your first Kedro pipelines K Visualizing your data flow with Kedro Viz The workshop will be interactive and you will have the opportunity to ask any questions you may have about best software engineering practices for data science using Kedro. Register now, and share with any colleagues who might be interested! https://events.quantumblack.com/kedro-intro-23-05

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Nero Okwa

04/25/2023, 2:08 PM

KKKKK*Have you used Kedro-Viz ?* KKKKK Hello Everyone! I’m Nero, a Product Manager on the Kedro team working on Kedro-Viz. What is Kedro-Viz? Kedro-Viz is an 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 offers experiment tracking, to compare different runs of a Kedro project, and you can use it to preview code and datasets. Why use Kedro-Viz? “_There's no better method to give an overview of a pipeline's structure in such an engaging, interactive, and thorough way. Our asset's pipelines are very complex, but are structured with modular pipelines, so being able to show the overall structure at the modular pipeline level, before jumping into each individual pipeline helps prevent the audience from getting overwhelmed by the number of nodes and datasets shown_” - QB Senior Data Scientist Find out more! Visit demo.kedro.org to try out Kedro-Viz, and follow our roadmap on GitHub for more updates, or to suggest future features to the community.

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Jo Stichbury

04/28/2023, 10:58 AM

❓ What data science/ML articles have you been reading recently? Have any blog posts, tutorials or newsletters "brought you joy"? 👀 Have you watched any useful training videos or listened to any podcasts 🎧 about analytics that you want to share? I'm putting together a regular roundup of what the Kedro community has found online (not just on the Kedro blog). I'd love to share your greatest hits. Feel free to share here or DM me. Thank you 🙏

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Nero Okwa

04/28/2023, 4:41 PM

KKKKK Kedro-Viz 6.1.0 is out! KKKKK @here we're excited to announce that Kedro-Viz 6.1.0 is out! 🥳 If you've not yet used it, 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 bug fixes in this version. Check out the demo and get full details in the release notes. 🚀*What can you expect in this release?* • Experiment tracking updates allowing users to filter (show/hide) metrics in the time series & parallel coordinates metrics plots.📈 🪲 Bug fixes and other changes • Fixed SQLAlchemy QueuePool Overflow Error. • Fixed clicks being blocked by the Back to Experiment Tracking button. • Fixed bug in settings panel for pretty name option being updated even when the cancel button was clicked. How do I get the latest release? • Python:

pip install kedro-viz==6.1.0

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Collaboration features within Kedro-Viz. • Create your own reports. Follow our roadmap for more updates, and suggest future features to the community. Until next time, The Kedro Team 💜

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Merel

05/02/2023, 4:33 PM

K Hi <!here>, we are excited to announce that Kedro
0.18.8
is out! K

TLDR: In this release, we added lots of documentation changes, introduced the
KEDRO_LOGGING_CONFIG
environment variable to configure logging and added the full
kedro run
CLI command to session store to improve run reproducibility using Kedro-Viz experiment tracking.

Kedro 0.18.8 is a non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.8

conda install -c conda-forge kedro==0.18.8

🚀 Major Features/Changes • Added

KEDRO_LOGGING_CONFIG

environment variable, which can be used to configure logging from the beginning of the kedro process. • Removed logs folder from the Kedro new project template. File-based logging will remain but just be level

INFO

and above and go to project root instead. 🪲 Bug fixes and other changes • Improvements to Jupyter E2E tests. • Added full

kedro run

CLI command to session store to improve run reproducibility using Kedro-Viz experiment tracking. ✍️ Documentation changes • Improvements to Sphinx toolchain including incrementing to use a newer version. • Improvements to documentation on visualising Kedro projects on Databricks, and additional documentation about the development workflow for Kedro projects on Databricks 🧱 • Improvements to documentation about configuration. • Updated table of contents for documentation to reduce scrolling. • Added deprecation warnings about the removal of

kedro.extras.datasets

. • And more! 🗞️ In other news: we’ve welcomed @marrrcin to the Kedro Technical Steering Committee! You can read more details about this fantastic news on our blog. Have you tried Kedro-Viz? Kedro-Viz is an 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. It also offers experiment tracking, and the ability to preview code and datasets. How do I get Kedro-Viz? • Python:

pip install kedro-viz==6.0.0

• React:

npm install @quantumblack/kedro-viz@latest

Visit demo.kedro.org to try out Kedro-Viz 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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Juan Luis

05/04/2023, 1:30 PM

🚨 200 registrations for our upcoming Kedro workshop and counting! Join us in half an hour: https://events.quantumblack.com/kedro-intro-23-05

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Juan Luis

05/04/2023, 4:32 PM

and that's a wrap for our intro to Kedro! if you missed it, you can watch the recording here:

https://youtu.be/qClSGY6B0r0▾

see you in the next one! K

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Juan Luis

05/05/2023, 7:00 AM

We just kickstarted a monthly newsletter in our blog called "In the Pipeline" |, and May's edition has everything you need! From updates about the latest Kedro releases to future events ... and a reading list for the month ahead: https://kedro.org/blog/in-the-pipeline-kedro-news-05-23 K

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Juan Luis

05/17/2023, 11:08 AM

New blog post! Ahead of my workshop on PyCon Lithuania this week, I described in this blog post what's the current status of Polars support in Kedro, how can you use it instead of pandas, and what can you expect in the future. Hope you enjoy it! https://kedro.org/blog/a-polars-exploration-into-kedro K🐻‍❄️

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Juan Luis

05/19/2023, 9:22 AM

Are you in Amsterdam and want to learn how to effectively create and run maintainable data pipelines in the cloud? K Join Xebia | Data for an in-person Kedro Code Breakfast at their offices next Tuesday, May 23rd 📆 Seats are limited! https://events.xebia.com/code-breakfast-kedro/?utm_source=slack

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Juan Luis

05/23/2023, 7:10 AM

K <!channel> we're happy to announce that kedro-datasets 1.3.0 is out! 🎉 kedro-datasets is a separate PyPI package where Kedro datasets live. ⚠️

kedro.extras.datasets

is deprecated and will be removed in Kedro 0.19, so these improvements won't be backported. to benefit from them, run

Copy code

pip install "kedro-datasets==1.3.0"

and check out the complete list of datasets in our documentation https://docs.kedro.org/en/stable/kedro_datasets.html 🚀 Major Features/Changes • Added pandas 2.0 support. • Added SQLAlchemy 2.0 support (and dropped support for versions below 1.4). • Added a save method to the APIDataSet • Reduced constructor arguments for

APIDataSet

by replacing most arguments with a single constructor argument

load_args

. This makes it more consistent with other Kedro DataSets and the underlying

requests

API, and automatically enables the full configuration domain: stream, certificates, proxies, and more. • Relaxed Kedro version pin to

>=0.16

• Added

metadata

attribute to all existing datasets. This is ignored by Kedro, but may be consumed by users or external plugins. • Added

ManagedTableDataSet

for managed delta tables on Databricks. 🐛 Bug fixes and other changes • Relaxed

delta-spark

upper bound to allow compatibility with Spark 3.1.x and 3.2.x. • Upgraded required

polars

version to 0.17. • Renamed

TensorFlowModelDataset

TensorFlowModelDataSet

to be consistent with all other plugins in kedro-datasets. kedroid Community contributions Thank you to Brian Cechmanek, Joseph McDonnell, and Danny Farah! Until next time, The Kedro Team 💛

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Nero Okwa

05/26/2023, 4:22 PM

KKKKK Kedro-Viz 6.2.0 is out! KKKKK @here we're excited to announce that Kedro-Viz 6.2.0 is out! 🥳 If you've not yet used it, 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 some major new features in this version. Check out the demo and get full details in the release notes. 🚀*What can you expect in this release?* • You can now now use experiment tracking collaboratively. This means that multiple users can store their experiment data in a centralised remote storage, such as AWS S3, and access it through Kedro-Viz. You can checkout the tutorial here. How do I get the latest release? • Python:

pip install kedro-viz==6.2.0

• React:

npm install @quantumblack/kedro-viz@latest

What's next? • Collaborative experiment tracking version 2. • Rebrand of Kedro. • 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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Nok Lam Chan

05/31/2023, 12:36 PM

K @here, we’re happy to announce that kedro-datasets 1.4.0 is out! 🎉 kedro-datasets is a separate PyPI package where Kedro datasets live. ⚠️ kedro.extras.datasets are deprecated and will be removed in Kedro 0.19, so these improvements won’t be backported. to benefit from them, run pip install “kedro-datasets==1.4.0” and check out the complete list of datasets in our documentation https://docs.kedro.org/en/stable/kedro_datasets.html 🚀 Major Features/Changes sparksparksparksparksparksparksparksparkspark Added SparkStreamingDataSet kedroid Community contributions Thank you to @tingting wan, Tom Kurian Until next time, The Kedro Team 💛

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Juan Luis

06/01/2023, 8:39 AM

Hi <!channel>, we are excited to announce that Kedro
0.18.9
is out! K

TLDR: In this release, we added support for a
metadata
attribute in datasets, introduced a new
kedro.logging.RichHandler
that is more flexible and configurable, and fixed some bugs with
OmegaConfigLoader
. We also added substantial improvements to our deployment docs, and we keep making progress towards following modern Python packaging standards.

Kedro 0.18.9 is a non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.9

conda/mamba/micromamba install -c conda-forge kedro=0.18.9

🚀 Major Features and improvements •

kedro run --params

now updates interpolated parameters correctly when using

OmegaConfigLoader

. • Added

metadata

attribute to

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

datasets. This is ignored by Kedro, but may be consumed by users or external plugins. • Added

kedro.logging.RichHandler

. This replaces the default

rich.logging.RichHandler

and is more flexible, user can turn off the

rich

traceback if needed. 🪲 Bug fixes and other changes •

OmegaConfigLoader

will return a

dict

instead of

DictConfig

. •

OmegaConfigLoader

does not show a

MissingConfigError

when the config files exist but are empty. ✍️ Documentation changes • Added documentation for collaborative experiment tracking within Kedro-Viz. • Revised section on deployment to better organise content and reflect how recently docs have been updated. • Minor improvements to fix typos and revise docs to align with engineering changes. ⚠️ Breaking changes to the API •

kedro package

does not produce

.egg

files anymore, and now relies exclusively on

.whl

files. While this is technically a breaking change, we included it anyway because

.egg

files have long been deprecated and we hope not many users are relying on them. 💌 Community contributions • Many thanks to tomasvanpottelbergh and debugger24 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

06/07/2023, 1:20 PM

New blog post by me and @Rashida Kanchwala highlighting our new collaborative experiment tracking feature in Kedro-Viz. This enables a team of users (Data Scientist, Data Engineers, and Machine Learning Engineer) to log and compare each others' ML experiments, towards identifying the best performing model. Hope you enjoy it! K https://kedro.org/blog/collaborative-experiment-tracking-in-kedro-viz

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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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K 10

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