Week of Aug 1: LineaPy has 2 new features, and we’re hosting a workshop on building pipelines.
Week of July 11: We’ve been working on a new feature of parameter refactoring and hosted our first ‘Reproduce and Share’ workshop.
Week of July 4: LineaPy’s latest features include support for database migration and pipeline objects.
Week of June 27: We hosted another API Basics Workshop and developed 2 new features on pipeline and code refactoring.
Week of June 20: We are excited to welcome a new community contributor to LineaPy and host another workshop.
Week of June 13: The LineaPy team introduced two new features in the past week + Catch workshop recordings on our YouTube channel.
Week of June 6: The LineaPy team introduced a new feature and added Binder support for demo notebooks. We also hosted our second demo workshop.
Week of May 30: The LineaPy team rolled out two major changes to the main branch on LineaPy’s Github repo. LineaPy user Senthil E posted a comprehensive overview of LineaPy on Towards Data Science, and we hosted our first technical workshop.
With more and more industries outside of the technology sector relying on artificial intelligence (AI) and machine learning (ML) systems in business operations, there is increased focus on the often treacherous path from development to production. A gap exists between the ML models developed by data scientists and the methods currently used to deploy their
Going from data science development to production is full of friction. The engineering process to make messy development code production-ready is manual and time consuming. That’s why we’ve built LineaPy – open source software that creates a frictionless path for taking data science work from development to production with just two lines of code. LineaPy