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- Status: Open.#1049 In QuantEcon/lecture-python.myst;
Link Checker Report
automatedOpened by a bot or scheduled workflowOpened by a bot or scheduled workflowbroken-linksLink checker found dead linksLink checker found dead linksStatus: Open.#1047 In QuantEcon/lecture-python.myst;Link Checker Report
automatedOpened by a bot or scheduled workflowOpened by a bot or scheduled workflowbroken-linksLink checker found dead linksLink checker found dead linksStatus: Open.#1042 In QuantEcon/lecture-python.myst;[lq_robust_bewley] Follow-ups from the #1040 review: solver iteration margin, uniqueness wording, falsification wording
low-priorityNice to have, no time pressureNice to have, no time pressurenew-lectureA new lecture (the marquee outcome)A new lecture (the marquee outcome)Status: Open.#1041 In QuantEcon/lecture-python.myst;Link Checker Report
automatedOpened by a bot or scheduled workflowOpened by a bot or scheduled workflowbroken-linksLink checker found dead linksLink checker found dead linksStatus: Open.#1038 In QuantEcon/lecture-python.myst;- Status: Open.#1033 In QuantEcon/lecture-python.myst;
Link Checker Report
automatedOpened by a bot or scheduled workflowOpened by a bot or scheduled workflowbroken-linksLink checker found dead linksLink checker found dead linksStatus: Open.#1032 In QuantEcon/lecture-python.myst;[ge_arrow] Example 4 transition matrix row 2 sums to 1.8 (not a stochastic matrix)
bugSomething is wrong or broken in a lecture or buildSomething is wrong or broken in a lecture or buildStatus: Open.#1030 In QuantEcon/lecture-python.myst;- Status: Open.#1027 In QuantEcon/lecture-python.myst;
Link Checker Report
automatedOpened by a bot or scheduled workflowOpened by a bot or scheduled workflowbroken-linksLink checker found dead linksLink checker found dead linksStatus: Open.#1026 In QuantEcon/lecture-python.myst;Weekly Colab Execution Check Failed - 30786321590
build-failureNotebook execution, build, or warnings failureNotebook execution, build, or warnings failureStatus: Open.#1025 In QuantEcon/lecture-python.myst;jax on the GPU runner is >2.7x slower than its CPU for a small float64 model (sargent_surico NUTS cell)
maintenanceHousekeeping: refactors, tooling, infra, style, env upkeepHousekeeping: refactors, tooling, infra, style, env upkeepStatus: Open.#1022 In QuantEcon/lecture-python.myst;