diff --git a/docs/basic_usage_python.rst b/docs/basic_usage_python.rst
index 00d5ed7..f80b212 100644
--- a/docs/basic_usage_python.rst
+++ b/docs/basic_usage_python.rst
@@ -1,8 +1,8 @@
 ***********************
-Basic usage with Python
+Basic usage with python
 ***********************
 
-The following steps show how to get started with :mod:`wellmap` in Python:
+The following steps show how to get started with :mod:`wellmap` in python:
 
 .. make-list-from-sections::
 
@@ -277,6 +277,5 @@ The example below makes a linear regression of the data in log-space:
    be expected) on each cycle.  100% indicates perfect doubling; 94% is a 
    little on the low side.
 
-.. _TOML: https://github.com/toml-lang/toml
 .. _tidy: https://www.jstatsoft.org/article/view/v059i10
 
diff --git a/docs/basic_usage_r.rst b/docs/basic_usage_r.rst
index 81449a1..fafa500 100644
--- a/docs/basic_usage_r.rst
+++ b/docs/basic_usage_r.rst
@@ -9,7 +9,7 @@ The following steps show how to get started with |wellmapr| in R:
 1. Install wellmapr
 ===================
 Install |wellmapr| from GitHub.  It's good to be aware that |wellmapr| is 
-written in Python and made available to R using the `reticulate`_ package.  
+written in python and made available to R using the `reticulate`_ package.  
 This detail shouldn't affect you in normal usage, but may be relevant if the 
 installation doesn't go smoothly:
 
@@ -235,7 +235,7 @@ following arguments:
 Here we also provide the **path_guess** argument, which specifies that the 
 experimental data can be found in a CSV file with the same base name as the 
 layout.  Note that this argument uses the syntax for string formatting in 
-Python, as described in the :doc:`API documentation <python_api>`.  It also 
+python, as described in the :doc:`API documentation <python_api>`.  It also 
 would've been possible to specify the path to the CSV directly from the TOML 
 file (see `meta.path`), in which case this argument would've been unnecessary.