talk-data.com

Abstract: In this talk, we'll explore how the Ruby and Rails community is uniquely positioned to lead the next wave of software development innovations, powered by artificial intelligence. With a focus on the expressiveness and developer-centric nature of Ruby, we'll discuss how these qualities make it an ideal candidate for integrating AI into the development process. We'll delve into the concept of Prompt-Driven Development, where developers shift from writing extensive code to defining application behavior through high-level, declarative prompts. This approach not only speeds up the development process but also enhances maintainability and scalability by leveraging AI to handle complex coding tasks dynamically at runtime.

Our friends at Sublayer are hosting an IN-PERSON event in NYC - please RSVP at the following link:

https://lu.ma/cbeeanbk

Ruby has been noticeably absent from the conversation around building Generative AI-powered applications. We're changing that!

We see the Ruby mindset as key to unlocking a massive wave of innovation on top of these new Generative AI utilities like LLMs. The potential impact on the industry is at least the size of Rails and Sinatra. ​But that all starts with community. ​So join us for a night of reconnecting with old friends and meeting new ones, sharing thoughts about how LLMs are changing the work we do and how that affects Rubyists, and bounce your wild ideas off of like-minded peers! ​We'll also be raffling off 3 copies of Obie Fernandez's new book Patterns of Application Development Using AI (with examples in Ruby!)

​Hosted by Sublayer and Company Ventures

Create Beautiful Visualizations that Free Your Data to Tell Powerful Truths “The depth of Barrett Clark’s knowledge shines through in his writing: clear, concise, and confident. Barrett has been practicing all of this stuff in his day job for many years–Postgres, D3, GIS, all of it. The knowledge in this book is real-world and hard-earned!” –From the Foreword by Obie Fernandez is your hands-on, practical, and holistic guide to the art of visualizing data. You’ll learn how to use Rails, jQuery, D3, Leaflet, PostgreSQL, and PostGIS together, creating beautiful visualizations and maps that give your data a voice and to make it “dance.” Data Visualization Toolkit Barrett Clark teaches through real-world problems and examples developed specifically to illuminate every technique you need to generate stunningly effective visualizations. You’ll move from the absolute basics toward deep dives, mastering diverse visualizations and discovering when to use each. Along the way, you’ll build three start-to-finish visualization applications, using actual real estate, weather, and travel datasets. Clark addresses every component of data visualization: your data, database, application server, visualization libraries, and more. He explains data transformations; presents expert techniques in JavaScript, Ruby, and SQL; and illuminates key concepts associated with both descriptive statistics and geospatial data. Throughout, everything is aimed at one goal: to help you cut through the clutter and let your data tell all it can. This guide will help you Explore and understand the data visualization technology stack Master the thought process and steps involved in importing data Extract, transform, and load data in usable, reliable form Handle spotty data, or data that doesn’t line up with what your chart expects Use D3 to build pie and bar charts, scatter and box plots, and more Work effectively with time-series data Tweak Ruby and SQL to optimize performance with large datasets Use raw SQL in Rails: window functions, subqueries, and common table expressions Build chord diagrams and time-series aggregates Use separate databases or schema for reporting databases Integrate geographical data via geospatial SQL queries Construct maps with Leaflet and Rails Query geospatial data the “Rails way” and the “raw SQL way”