SObjectizer Tales – 26. Dispatcher selection
A guide to selecting dispatchers in the SObjectizer actor model framework for C++, focusing on strategies for binding agents to threads.
A guide to selecting dispatchers in the SObjectizer actor model framework for C++, focusing on strategies for binding agents to threads.
A tutorial using custom animations to visually explain how dplyr's mutate(), summarize(), group_by(), and ungroup() functions work in R.
A SwiftUI tutorial on creating a custom LabelStyle to tint only the icon, leaving the text color unchanged.
An introduction to Apache Iceberg, a table format for data lakehouses, explaining its architecture and providing learning resources.
Explores the evolution of Apache Iceberg catalogs, focusing on the current REST Catalog and future proposals for server-side optimizations.
A guide on integrating an external GPS/GNSS module with the Notecard for continuous location streaming and cellular connectivity.
A technical guide on extracting 2FA secrets from the abandoned Authenticator Plus iOS app using SQLCipher and Ruby.
A critical analysis of whether test automation truly reduces stress and disruptions, or if it can initially increase workload and pressure on teams.
Explores the concept of signed zero in IEEE-754 floats, its mathematical implications, and a real-world issue with complex number discontinuities in Qiskit.
A developer's monthly digest covering tech books, industry commentary, AI debates, and personal reflections on walking and productivity.
A developer's yearly recap of projects including a self-published game, a personal ranking web app, and contributions to Advent of Code.
Explores a surprising C# compiler warning when using pattern matching with nullable properties, revealing edge cases in static analysis.
A hands-on tutorial on building a data lakehouse pipeline using Spark, Dremio, and Superset to move and analyze data.
A data visualization expert details their participation in the #30DayChartChallenge, using DataWrapper to create interactive charts based on 'The Simpsons' data.
Explains the concept of 'symbolically nested' statistical models, their computational advantages, and their importance in survey analysis.
The author announces a change in the blog's content license from CC BY-SA 4.0 to the more permissive CC BY 4.0, citing a shift in perspective on licensing reciprocity.
Analysis of recent AI research papers on continued pretraining for LLMs and reward modeling for RLHF, with insights into model updates and alignment.
Discusses strategies for continual pretraining of LLMs and evaluating reward models for RLHF, based on recent research papers.
A summary of new features and updates for Azure WebApps in March 2024, focusing on the GA release of Automatic Scaling for Premium-tier apps.
How a company's 'Demo Friday' culture fosters collaboration, peer recognition, and deep technical learning across hardware and software teams.