During the meeting we: 🔸 Discuss current challenges in pipeline building 🔸 Have a demo of LineaPy 🔸 Run a Q&A session 1/3

During the Q&A, we got answers about 🔸 How Lineapy works 🔸 How big is the project? 🔸 The plans for LineaPy 🔸 How to contribute? 🔸 Hacktoberfest, Repo Starring 🔸 Advice https://t.co/aWLRR0ckgu 3/3

This @lineapy_oss camping cup from @me_dorx still might be one of my favorite conference swag items I've gotten

Lineapy, yet another tool to get from messy jupyter notebooks (designed to prototype solutions) to production settings (where things need to be deterministic). @pydataberlin @PyConDE

First talk at #pyconde23 is from Thomas Fraunholz about LineaPy. Maybe no messy Jupyter notebooks anymore?

@Al_Grigor @htahir111 @fab_clemente @me_dorx @bozhao @jacopotagliabue @DataTalksClub @zenml_io @FuzzyLabsAI @YData_ai @lineapy_oss @bentomlai @orchestofficial Want to join the next AMA? 💬 Our new guest is @neal_lathia from Monzo. Join us to chat about building ML platforms and high-performance ML teams, scaling MLOps, and more! Join our Discord to ask Neal a question https://t.co/5hDz4hrhzz Register here https://t.co/DUSVG9HFWg

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 https://t.co/aWLRR0ckgu

#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.

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 😉

@Saboo_Shubham_ Here is my list of new 2022 libs you can try: 1. Codon — a Python compiler using LLVM 2. fugue — distributed computing done easy 3. Diffusers — generative AI 4. LineaPy — convert notebooks to production pipelines 5. whylogs — model monitoring

We are excited to see what you can do with #LineaPy, come connect with us on our community Slack https://t.co/bapv3atGxR with any questions, comments, or if you just want to share something awesome! #oss

@c4ml_ Lineapy

@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.

1/9 🔥 4 Strong Over laps: Permissionless <> Token2049 🔥 1. Strong focus on ZK. New L1/2 coming up using ZK tech. Also, ZKEVM See: @lineapy_oss, @zksync, @Scroll_ZKP. They have been working on the protocols and releasing now.

@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.

@Al_Grigor @htahir111 @fab_clemente @me_dorx @bozhao @jacopotagliabue @DataTalksClub @zenml_io @FuzzyLabsAI @YData_ai We spoke with @me_dorx from @lineapy_oss about engineering bottlenecks in data science 👾 "If anything, we have too many tools!" Read the recap about AutoML, ML tools, and how to simplify repetitive and mundane data engineering tasks 👇 https://t.co/xFdwldt47R 6/11

Top Python libraries of 2022 by @tryolabs: 1. Ruff 2. python-benedict 3. Memray 4. Codon 5. LangChain 6. fugue 7. Diffusers 8. LineaPy 9. whylogs 10. Mito

@argoproj Workflows Through Hera, the Argo Workflows Python SDK, users can now use Lineapy to generate pipeline files that can be submitted to Argo Workflows. This gives Lineapy the ability to create and submit pipelines to one of the leading Kubernetes Workflow Engines.

@HamelHusain Have you checked out @lineapy_oss yet? It does a really extreme version of this, including linking all objects in the session to the code that produced them.