We are excited to see what you can do with #LineaPy, come connect with us on our community Slack bit.ly/3atpyU2 with any questions, comments, or if you just want to share something awesome! #oss

@raydistributed Workflows #LineaPy now supports using the new Ray Workflows as an orchestration engine! Users can now leverage the scalability of Ray to run their toughest and computationally heaviest DAG workflows.

@kubeflow Pipelines Using Kubeflow's Pipeline Python SDK, #LineaPy users can now create DAG files that can be submitted to an existing Kubeflow cluster. We are excited by the additional opportunities this will provide #Kubernetes shops already using Kubeflow.

#LineaPy now integrates with @argoproj , @kubeflow , and @raydistributed , @DVCorg ! With the generous help of our #OSS contributors, we now have additional integrations with multiple frameworks, including Argo, Kubeflow, and Ray, DVC.

🤝 If you love both MLflow and LineaPy and want to leverage the best of both libraries, we break down how you can do it with minimal effort or code change. Follow us for other exciting integrations in the works. #mlflow #datascience #lineapy bit.ly/3Y9xpe2

LineaPy: Capture, Analyze and Automate Data Science Workflows #python #lineapy morioh.com/p/edc607ec80e6…

Catch this on-demand workshop to learn how #LineaPy can help you revisit previous data science work and save data science artifacts into reproducible LineaPy artifacts. bit.ly/3dqzH63

We are excited to introduce #LineaPy 0.1.5 to everyone! This version includes a rethink of what a pipeline is to our users and includes minor bug fixes that aim to keep the experience a breeze for our users. More details on our blog: bit.ly/3SeeV8s #datascience

LineaPy’s superpower is its workflow abstraction derived directly from raw user #Python code, which allows it to automatically generate data pipelines compatible with different frameworks. Install #LineaPy and check it out for yourself: bit.ly/3aOHQ2S

Need help turning your ML code into production ML pipelines? Catch up with the @Lineapy_oss team at the #raysummit today and tomorrow and learn how #LineaPy can transform #MachineLearning notebooks into production pipelines.

#LineaPy week in review 🛠️ We've added 2 new features including control flow for conditionals (if/else). More details: bit.ly/3ApfgiB #machinelearning

Modern data scientists love #LineaPy. lineapy.org

Join the #LineaPy Slack to see weekly updates and join the AutoMLOps discussion bit.ly/3O0ehZz

Join us for this week's #LineaPy workshop. bit.ly/3bJ3bus We will show you how to solve common reproducibility issues such as missing values and unintelligible variable names step by step on a hosted notebook using LineaPy. #DataScience #MachineLearning

#LineaPy week in review: We hosted another API Basics Workshop and have developed two new features on pipeline and code refactoring. Follow our GitHub discussions for more technical updates: bit.ly/3xJ8hyh #dataengineering

We've added 2 new features to #LineaPy including experimental support for Python 3.10 and the ability to use S3 as an artifact storage location. Check out GitHub Discussions for more information: bit.ly/3xJ8hyh #opensource

Join us for this week's #LineaPy workshop. bit.ly/3QraUgw We'll talk about how to clean messy notebooks and gain workflow efficiencies using LineaPy. #datascience

This is a completely new OSS community that needs help getting built from the ground. (They have about 40 folks in the wild using their lib so far, #LineaPy.) If you want to learn more about DS and AI, and already have strong Community Bldg skills, then they need you!