Using Dyalog’s ⎕JSON for Reliable Data Interchange
Learn how Dyalog’s ⎕JSON function lets you encode and decode JSON without extra libraries, with a worked example, error‑handling tips, and verification steps.
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Learn how Dyalog’s ⎕JSON function lets you encode and decode JSON without extra libraries, with a worked example, error‑handling tips, and verification steps.
Diagnosing performance issues in an APL workspace requires a systematic approach to measuring execution time and resource usage. The prerequisite is a recent interpreter that supports timing primitives such as ⎕TIME or monitoring facilities like ⎕MONITOR. The goal is to instrument code to capture start and end times for each function, run workloads repeatedl
Given that many APL implementations are proprietary and some are free for non‑commercial use, what steps should administrators take to configure APL runtime environments following the principle of least privilege while preserving required functionality? Include considerations for file‑system permissions, process isolation, and auditing.
Deploying an open‑source APL interpreter on Linux involves selecting between a full‑featured implementation such as GNU APL and a lightweight, browser‑oriented option like ngn/APL, but it is not obvious which set of prerequisites is truly minimal for each choice. The deployment must also include a reliable way to confirm that the interpreter works as expecte
Determine whether Dyalog APL Free Edition can be used for a low‑traffic commercial web service without violating the license. The free edition documentation states it is intended for learning and non‑production experimentation, allows unlimited code execution, and limits concurrent user sessions, but does not explicitly define the boundary between non‑commer
Goal: Determine whether a pending ⎕DL delay in Dyalog APL’s GUI edition is cancelled when the user closes a MsgBox window, or whether the delay always runs to completion before the alert is displayed. Constraints: The interaction between ⎕DL and asynchronous GUI events is not fully documented; behavior may differ across Windows, macOS, and Linux ports, and r
After moving an application from Dyalog 16.0 to 18.0, I need to reconcile how ⎕SQL handles transaction control. My understanding is that auto-commit versus explicit transaction behavior changed across that boundary, and write operations that previously appeared atomic may now commit partial state before a failure surfaces to the application. The concrete goa
In Dyalog APL Server (DAS) 22.12, administrators can enforce password expiration via the PasswordPolicy section of server.cfg . The documentation states that expired passwords prevent new logins, but it does not specify what happens to sessions that are already established when the expiry date passes. This ambiguity is critical for least‑privilege security m
A workspace backup using )SAVE or ⎕WS is intended to capture the active APL environment, including defined functions, variables and a portion of system state, so that a later )LOAD or ⎕WG restores the environment to the saved point. The documented capability covers global names and function definitions, with verification typically discussed in terms of canon