Netflix expects to streamline the arduous bits with a new freely available platform. The tech giant at present announced that it had open-sourced Polynote, a multi-language programming notebook environment that integrates with Apache Spark and offers sturdy support for Scala, Python, and SQL.
Netflix stated that Polynote, which has seen “substantial” adoption among its personalization and advice teams, was designed to allow data scientists and AI researchers to combine Netflix’s JVM-based machine learning framework with Python machine learning and visualization libraries.
For the uninitiated, a notebook execution is a record of a specific piece of code run at a particular point in time and within a particular atmosphere. It’s an ordered collection of cells, every of which might hold code or text and be modified and executed independently. Cells could be rearranged, inserted, and deleted, and they usually depend on the output of other cells within the notebook.
Polynote’s novel reproducibility feature takes cells’ positions within the notebook into account before executing them, helping prevent poor practices that make notebooks difficult to rerun from the top. Moreover, it packs features akin to an integrated development atmosphere, together with interactive autocomplete and parameter hints and in-line error highlighting, along with a rich text editor with support for the high-quality LaTeX typesetting system.
As its name implies, Polynote is a polyglot system, which means every cell in a notebook may be written in a unique language, with variables shared between them. Moreover, Polynote provides configuration and dependency setup saved in the notebook itself, whereas at a similar time enabling data exploration with Matplotlib (a Python 2D plotting library) and the visualization grammar Vega.