{ "cells": [ { "cell_type": "markdown", "id": "892c480b", "metadata": { "tags": [ "nbprint:section:covermatter" ], "nbprint": { "css": ":scope { text-align: center; margin-top: 30%; }" } }, "source": [ "# Quarterly Report\n", "## Q1 2026" ] }, { "cell_type": "markdown", "id": "f011d80d", "metadata": { "nbprint": { "section": "frontmatter" } }, "source": [ "# Preface\n", "\n", "This is a notebook-first report. Every cell in this notebook is routed\n", "to a document section by either a tag (`nbprint:section:`) or the\n", "`cell.metadata.nbprint.section` field \u2014 no YAML required." ] }, { "cell_type": "markdown", "id": "de2c8de1", "metadata": { "tags": [ "nbprint:section:middlematter" ] }, "source": [ "# Executive Summary\n", "\n", "Results were solid this quarter." ] }, { "cell_type": "code", "id": "ac0fe7c3", "execution_count": null, "metadata": { "nbprint": { "section": "middlematter" } }, "outputs": [], "source": [ "import pandas as pd\n", "df = pd.DataFrame({'metric': ['revenue', 'cost', 'profit'],\n", " 'value': [1200, 800, 400]})\n", "df" ] }, { "cell_type": "markdown", "id": "97c7de56", "metadata": { "tags": [ "nbprint:section:appendix" ] }, "source": [ "# Appendix A: Methodology\n", "\n", "Data was collected from internal ledgers." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.12" }, "nbprint": { "page": { "_target_": "nbprint.PageGlobal", "size": "Letter", "orientation": "portrait", "bottom_right": { "_target_": "nbprint.PageRegion", "content": { "_target_": "nbprint.PageNumber" } }, "pages": { "covermatter": {}, "frontmatter": { "counter_reset": true, "counter_style": "lower-roman" }, "middlematter": { "counter_reset": true } } }, "outputs": { "_target_": "nbprint.NBConvertOutputs", "naming": "{{name}}", "root": "./outputs", "target": "html" } } }, "nbformat": 4, "nbformat_minor": 5 }