Results for “seaborn”

5 skills

brycewang-stanford

full-empirical-analysis-skill

Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step pipeline an applied economist or quantitative social scientist runs on every paper — (1) data cleaning, (2) variable construction & transformation, (3) descriptive statistics & Table 1, (4) statistical diagnostic tests, (5) baseline empirical modeling, (6) robustness battery, (7) further analysis (mechanism, heterogeneity, mediation, moderation), (8) publication-ready tables & figures. **Also covers two parallel domain modes that share the same 8-step scaf

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implementing-identity-governance-with-sailpoint

Deploy SailPoint IdentityNow or IdentityIQ for identity governance and administration, covering identity lifecycle management, access request workflows, certification campaigns, role mining, SOD policy enforcement, and compliance reporting.

24.6k · bundle

hf-cloud-sagemaker-production-defaults

Creates SageMaker endpoints (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, then smoke-tests them before declaring success.

10.8k · bundle

Generates APEXlang artifacts for Oracle APEX applications using deterministic local-context discovery and compact machine-readable contracts.

Provides a command-line interface to manage Ansible, Terraform/OpenTofu/Terragrunt, PowerShell, and other DevOps tools through a modern UI and API.