LineaPy

Data scientists, meet LineaPy! Just two lines of #opensource code captures, analyzes, and transforms messy #datascience development code to extract production data pipelines in minutes. No refactoring or new tools needed. lineapy.org

What's LineaPy’s secret sauce that lets LineaPy auto-generate Airflow/Kubeflow/Argo/Ray/DVC pipelines from spaghetti DS development code with a couple of simple APIs? Check out our latest blog post, where we take a peek behind the curtains 😉 bit.ly/3klUIlF

In this Open Source Spotlight, we talked about @lineapy_oss. LineaPy helps to capture, analyze, and transform messy notebooks into data pipelines with just two lines of code. Here is a full demo on how you can use it youtube.com/watch?v=7Y0OfE…

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 Check our updated documentation (docs.lineapy.org/latest/tutoria…) for examples of how to configure pipelines for each of these frameworks and how to set up and run some demos. Also, check out our demo youtube video (youtube.com/watch?v=f4EAi8…) for the frameworks you are most interested in.

#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.

It's Day 5 of the #12DaysOfPodcasts! 🎉 Today @lineapy_oss CEO @me_dorx shares the ideal workflow for getting data science notebooks into production 😄

🎙Podcast drop: our founder and CEO Doris Xin joins O'Reilly author Noah Gift on his podcast to talk about how LineaPy helps get #Jupyter notebooks to production and captures lineage across the #datascience lifecycle. Don't miss this one! 👇 podcast.paiml.com/episodes/enter…

🤝 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 eschews this messy process for a simple solution. ➕ Get to production in minutes, not days. Try our demo using standard iris data here: lnkd.in/gfRGK2mW

📙 Data scientists working on Jupyter notebooks day-to-day often have non-linear workflows. They jump between cells, delete cells, edit cells, and re-execute them until a "good" table, model, or chart (an "artifact") is produced. LineaPy gets rid of the messy process...

✓ Monday fun fact: 80% of data science is engineering. The bottleneck isn't the science; it's the engineering behind getting to production.

Happy Thanksgiving to the LineaPy community! We're grateful for your support, feedback, and hope you enjoy your time with friends and family today 🦃 🥧 🍂

⚡️ Automate data engineering with LineaPy and unlock the power of your data. We're #opensource and super easy to set up. Here's how to get started👇 Step 1: Go to → github.com/LineaLabs/line… Step 2: Install the Python package Step 3: Try out one of our notebooks!

🤔 How do you scale machine learning across many teams? @lineapy_oss CEO @me_dorx shares her thoughts in the clip below 👇🏽 Check out her full episode on the #MLOpsWeeklyPodcast here: buff.ly/3Tb4Bij

⛽️ Check out LineaPy's gas price predictor here: bit.ly/3E2XWSj Fun fact: it updates automatically every week!

📱Based on a recently published gas forecast by @seanjtaylor, our team created a FastAPI app that forecasts #gasprices and shows you whether the price will go up or down this week, so you can decide the best time to pump gas based on your region.

⛽️ Should you fill the gas tank this week…or wait till the next? 📈 That depends on whether the price goes up or down. Thankfully, there’s a (small) app for that using LineaPy! 👇