Add docs

docs/_config.yml

@@ -0,0 +1,22 @@
+# Book settings
+title: scf documentation
+author: Max Ghenis
+
+launch_buttons:
+  colab_url: "https://colab.research.google.com"
+
+repository:
+  url: https://github.com/MaxGhenis/scf
+  branch: master
+  path_to_book: docs
+
+html:
+  use_edit_page_button  : true
+  use_repository_button : true
+  use_issues_button     : true
+
+sphinx:
+  extra_extensions          : ['sphinx.ext.autodoc', 'sphinx.ext.mathjax',
+                               'sphinx.ext.viewcode', 'sphinx.ext.napoleon',
+                               'alabaster']   # A list of extra extensions to load by Sphinx.
+  config                    :   # key-value pairs to directly over-ride the Sphinx configuration

docs/_toc.yml

@@ -0,0 +1 @@
+- file: home

docs/home.md

@@ -0,0 +1,19 @@
+# `scf` documentation
+
+`scf` is a Python package for working with Survey of Consumer Finances microdata.
+
+Install via:
+
+```
+pip install git+https://github.com/MaxGhenis/scf.git
+```
+
+Try it with:
+```
+import scf
+
+scf.load(years=[2016, 2019], cols=['income', 'networth'])
+```
+
+This will return a `pandas` `DataFrame` with columns for
+`income`, `networth`, `year`, and `wgt` (the survey weight).