Add basic outline

about.md

@@ -0,0 +1,15 @@
+---
+site:
+  hide_toc: true
+  hide_footer_links: true
+---
+
+# About
+
+The Statistical Python project was launched with support from a [grant from the NSF](https://nsf.elsevierpure.com/en/projects/pose-phase-1-an-open-source-ecosystem-for-statistical-python), titled "POSE: Phase I: An open-source ecosystem for statistical Python."
+We are now completing Phase I, which has centered on scoping activities to inform the transition into a sustainable open-source ecosystem.
+During this phase, we conducted interviews with stakeholders across the statistical and scientific Python communities, engaged with related domain-stack OSEs to learn from their experiences, and organized a workshop to gather input on community needs and technical directions.
+
+<!--
+Based on our [2024 Landscape Analysis](2024-landscape), we ...
+-->

index.md

@@ -1,18 +1,16 @@
 ---
-title: Welcome to Statistical Python
 site:
   hide_outline: true
   hide_toc: true
-  hide_title_block: true
   hide_footer_links: true
 ---
 
-## Welcome to Statistical Python
+# Welcome to Statistical Python
 
 The Statistical Python project is a community-driven and community-owned initiative dedicated to building a robust, sustainable ecosystem for statistical software in Python.
-Our mission is to unite statisticians, domain practitioners, educators, and software developers to create high-quality, well-engineered statistical tools that empower research, education, and industry.
-By fostering collaboration and knowledge sharing, we aim to lower barriers to contribution, promote best practices in software engineering, and ensure that cutting-edge statistical methods are accessible to the broader Python community.
+Our mission is to unite statisticians, practitioners, educators, and developers to create high-quality, well-engineered statistical tools that empower research, education, and industry.
+We foster collaboration and knowledge sharing to lower barriers to contribution, promote best practices in software engineering, and ensure that advanced statistical methods are accessible to the broader Python community.
 
 As a domain stack within the larger [Scientific Python project](https://scientific-python.org/), Statistical Python leverages the strengths of the scientific Python ecosystem while addressing the unique needs of the statistical community.
-Supported by an NSF POSE Phase I grant, our work focuses on bridging the gap between innovative statistical methodology and modern open-source software development.
-Our goal is to catalyze the growth of a vibrant, cross-disciplinary developer and user base, making Python a premier platform for statistical computing and education.
+Our vision is to connect statistical innovation with open-source software engineering, drawing on best practices from both the Python and R communities.
+We aim to catalyze the growth of a vibrant, cross-disciplinary developer and user base, making Python a premier platform for statistical computing and education.

myst.yml

@@ -6,13 +6,15 @@ project:
   # description:
   # keywords: []
   # authors: []
-  # github: https://github.com/statistical-python/statistical-python.org
+  github: https://github.com/statistical-python/
   # To autogenerate a Table of Contents, run "myst init --write-toc"
 site:
   template: book-theme
-  #nav:
-  #  - title: Packages
-  #    url: /packages
+  nav:
+    - title: About
+      url: /about
+    - title: Packages
+      url: /packages
   options:
     favicon: images/favicon.ico
     logo: images/statistical-python-logo.svg

packages.md

@@ -1,12 +1,12 @@
 ---
-title: Packages
 site:
-  hide_outline: true
   hide_toc: true
-  hide_title_block: true
   hide_footer_links: true
 ---
 
+# Packages
+
+<!--
 ::::{grid} 1 1 2 3
 
 :::{card}
@@ -24,3 +24,11 @@ site:
 ...
 :::
 ::::
+
+# Pilot Projects
+-->
+
+As part of our NSF-funded initiative, we are working with two pilot projects that highlight different aspects of the statistical Python ecosystem:
+
+- **[YAGLM](https://github.com/yaglm/yaglm)**: A Python package for generalized linear models, offering modern statistical methodology with various loss functions, regularizers, and solvers.
+- **[ISLP](https://github.com/intro-stat-learning/ISLP)**: A companion Python package for the textbook "An Introduction to Statistical Learning with Applications in Python," focused on educational resources and implementations.