Artwork

Inhalt bereitgestellt von SmartLogic LLC. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von SmartLogic LLC oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Player FM - Podcast-App
Gehen Sie mit der App Player FM offline!

Explorer: Data Frames in Elixir with Chris Grainger

42:55
 
Teilen
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 05, 2025 15:31 (4M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 496244528 series 2493466
Inhalt bereitgestellt von SmartLogic LLC. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von SmartLogic LLC oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R’s dplyr and Python’s pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets.

Whether you’re generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap.

Key topics discussed in this episode:

  • dplyr- and pandas-inspired data manipulation in Elixir
  • Polars integration via Rust NIFs for blazing performance
  • Immutable data frames and BEAM-friendly concurrency
  • Lazy evaluation to work with arbitrarily large tables
  • Distributed data-frame support for multi-node processing
  • Seamless integration with Ecto schemas and queries
  • Zero-copy interoperability between Explorer and Nx tensors
  • Apache Arrow and ADBC protocols for cross-language I/O
  • Exploring SQL-style backends for remote query execution
  • Building interactive dashboards and charts in LiveView
  • Consolidating ETL workflows into a single Elixir API
  • Streaming data pipelines for memory-efficient processing
  • Tidy data principles and behavior-based API design
  • Real-world use cases: report generation, patent analysis, and more
  • Future roadmap: new backends, query optimizations, and community plugins

Links mentioned:

https://hexdocs.pm/explorer/Explorer.html
https://www.amplified.ai/
https://www.r-project.org/
https://vita.had.co.nz/papers/tidy-data.pdf
https://www.tidyverse.org/
https://www.python.org/
https://dplyr.tidyverse.org/
https://go.dev/
https://hexdocs.pm/nx/Nx.html
https://github.com/pola-rs/polars
https://github.com/rusterlium/rustler
https://www.rust-lang.org/
https://www.postgresql.org/
https://hexdocs.pm/ecto/Ecto.html
https://www.elastic.co/elasticsearch
https://arrow.apache.org/
Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0
https://dbplyr.tidyverse.org/
https://spark.posit.co/
https://hexdocs.pm/pythonx/Pythonx.html
https://hexdocs.pm/vega_lite/VegaLite.html
10 Minutes to Explorer: https://hexdocs.pm/explorer/exploring_explorer.html
https://github.com/elixir-nx/scholar
https://scikit-learn.org/stable/
https://github.com/cigrainger
https://erlef.org/slack-invite/erlef
https://bsky.app/profile/cigrainger.bsky.social
https://github.com/cigrainger

  continue reading

203 Episoden

Artwork
iconTeilen
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 05, 2025 15:31 (4M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 496244528 series 2493466
Inhalt bereitgestellt von SmartLogic LLC. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von SmartLogic LLC oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of Elixir Wizards, Charles Suggs sits down with Chris Grainger, co-founder and CTO of Amplified and creator of the Explorer library. Chris explains how Explorer brings the familiar data-frame workflows of R’s dplyr and Python’s pandas into the Elixir world. We explore (pun intended!) how Explorer integrates with Ecto, Nx, and LiveView to build end-to-end data pipelines without leaving the BEAM, and how features like lazy evaluation and distributed frames let you tackle large datasets.

Whether you’re generating reports or driving interactive charts in LiveView, Explorer makes tabular data accessible to every Elixir developer. We wrap up by looking ahead to SQL-style backends, ADBC connectivity, and other features on the Explorer roadmap.

Key topics discussed in this episode:

  • dplyr- and pandas-inspired data manipulation in Elixir
  • Polars integration via Rust NIFs for blazing performance
  • Immutable data frames and BEAM-friendly concurrency
  • Lazy evaluation to work with arbitrarily large tables
  • Distributed data-frame support for multi-node processing
  • Seamless integration with Ecto schemas and queries
  • Zero-copy interoperability between Explorer and Nx tensors
  • Apache Arrow and ADBC protocols for cross-language I/O
  • Exploring SQL-style backends for remote query execution
  • Building interactive dashboards and charts in LiveView
  • Consolidating ETL workflows into a single Elixir API
  • Streaming data pipelines for memory-efficient processing
  • Tidy data principles and behavior-based API design
  • Real-world use cases: report generation, patent analysis, and more
  • Future roadmap: new backends, query optimizations, and community plugins

Links mentioned:

https://hexdocs.pm/explorer/Explorer.html
https://www.amplified.ai/
https://www.r-project.org/
https://vita.had.co.nz/papers/tidy-data.pdf
https://www.tidyverse.org/
https://www.python.org/
https://dplyr.tidyverse.org/
https://go.dev/
https://hexdocs.pm/nx/Nx.html
https://github.com/pola-rs/polars
https://github.com/rusterlium/rustler
https://www.rust-lang.org/
https://www.postgresql.org/
https://hexdocs.pm/ecto/Ecto.html
https://www.elastic.co/elasticsearch
https://arrow.apache.org/
Chris Grainger & Chris McCord Keynote ElixirConf 2024: https://youtu.be/4qoHPh0obv0
https://dbplyr.tidyverse.org/
https://spark.posit.co/
https://hexdocs.pm/pythonx/Pythonx.html
https://hexdocs.pm/vega_lite/VegaLite.html
10 Minutes to Explorer: https://hexdocs.pm/explorer/exploring_explorer.html
https://github.com/elixir-nx/scholar
https://scikit-learn.org/stable/
https://github.com/cigrainger
https://erlef.org/slack-invite/erlef
https://bsky.app/profile/cigrainger.bsky.social
https://github.com/cigrainger

  continue reading

203 Episoden

Alle Folgen

×
 
Loading …

Willkommen auf Player FM!

Player FM scannt gerade das Web nach Podcasts mit hoher Qualität, die du genießen kannst. Es ist die beste Podcast-App und funktioniert auf Android, iPhone und im Web. Melde dich an, um Abos geräteübergreifend zu synchronisieren.

 

Kurzanleitung

Hören Sie sich diese Show an, während Sie die Gegend erkunden
Abspielen