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The Dyalog Road Map - Development Updates and Future Direction

Dyalog User Meetings via YouTube

Overview

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Explore Dyalog APL's strategic direction and future developments in this comprehensive 46-minute conference presentation from DYNA Fall 2025. Discover the current state and upcoming enhancements to the Dyalog APL programming language ecosystem, including migration tools like deltaWI, EWC, and ATFIN, ARM64 support, .NET generics integration, and the new ⎕SHELL functionality. Learn about the script engine (dyalogscript), Link enhancements, and various platform improvements including new documentation, Kafka interface, and ⎕NINFO upgrades. Examine language and IDE enhancements such as array notation, namespace notation with ⎕VGET and ⎕VSET, inline tracing capabilities, and the Behind operator (⍛). Gain insights into forward-looking initiatives including built-in support for APL source code as text, APL Libraries and Tatin package management, open-source interfaces, parallel/async operators, Co-dfns, static analysis tools, and integration with LLMs/AI technologies. Understand how APL is being positioned for data science applications, explore the APL forge concept, and learn about strategies for driving engagement with open-source development. Get updates on Team Dyalog's expansion with new recruits, consultants, and interns, and participate in the Q&A session addressing community questions about the language's evolution and future direction.

Syllabus

00:00 Current and future DYNAs and Dyalog user meetings
01:58 Schedule for DYNA Fall 2025
03:19 The Dyalog road map — continuing to grow
06:53 Migration tools: deltaWI, EWC, and ATFIN
11:16 Dyalog on ARM64
12:28 .NET generics
13:32 ⎕SHELL
14:48 Script engine dyalogscript
16:13 Link enhancements
17:54 Miscellaneous: New documentation, Kafka interface, ⎕NINFO improvements, platform features
20:27 Language and IDE enhancements
20:52 Array notation
21:37 Namespace notation, ⎕VGET, and ⎕VSET
23:37 Inline tracing
24:13 Behind ⍛
25:24 Looking forwards
25:41 APL source code as text — built in support
28:04 APL Libraries and Tatin
29:14 Open-source interfaces
31:43 Parallel/async operator
33:19 Co-dfns
33:40 Static analysis
35:03 LLMs/AI
35:49 APL for data science
38:00 The APL forge
39:24 Driving engagement with open-source
41:00 Team Dyalog: New recruits, consultants, and interns
42:44 Wrapping up
43:28 Questions

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Dyalog User Meetings

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