Update to lower-case

README.md

@@ -45,7 +45,7 @@ widely used across the Earth, Ocean, and Planetary sciences and beyond.
 - Build a Pythonic API for GMT.
 - Interface with the GMT C API directly using ctypes (no system calls).
 - Support for rich display in the Jupyter notebook.
-- Integration with the [Scientific Python ecosystem](https://scientific-python.org/): `numpy.ndarray` or
+- Integration with the [scientific Python ecosystem](https://scientific-python.org/): `numpy.ndarray` or
   `pandas.DataFrame` for data tables, `xarray.DataArray` for grids, and `geopandas.GeoDataFrame` for geographical data.
 
 ## Quickstart

examples/tutorials/advanced/date_time_charts.py

@@ -191,7 +191,7 @@
 #
 # In this example, instead of using a list of :class:`pandas.DatetimeIndex` objects,
 # ``x`` is initialized as an :class:`xarray.DataArray` object. This object provides a
-# wrapper around regular Scientific Python formats. It also allows the data to have
+# wrapper around regular scientific Python formats. It also allows the data to have
 # labeled dimensions while supporting operations that use various pieces of metadata.
 # The following code uses :func:`pandas.date_range` to fill the DataArray with data,
 # but this is not essential for the creation of a valid DataArray.

pygmt/__init__.py

@@ -3,7 +3,7 @@
 publication-quality maps and figures. It provides a Pythonic interface for the Generic
 Mapping Tools (GMT), a command-line program widely used across the Earth, Ocean, and
 Planetary sciences and beyond. Besides making GMT more accessible to new users, PyGMT
-aims to provide integration with the Scientific Python ecosystem as well as support for
+aims to provide integration with the scientific Python ecosystem as well as support for
 rich display in Jupyter notebooks.
 
 Main Features