Remove outdated link

01-introduction.Rmd

@@ -219,7 +219,7 @@ Proficiency with such low-level languages opens the possibility of creating new,
 However, it is not necessary to learn C++\index{C++} to use R for geocomputation.
 
 Python\index{Python} is an important language for geocomputation especially because many Desktop GIS\index{GIS} such as GRASS GIS\index{GRASS GIS}, SAGA\index{SAGA} and QGIS\index{QGIS} provide a Python API\index{API} (see Chapter \@ref(gis)).
-Like R\index{R}, it is a [popular](https://stackoverflow.blog/2017/10/10/impressive-growth-r/) tool for data science.
+Like R\index{R}, Python is a popular language for data science.
 Both languages are object-oriented, and have many areas of overlap, leading to initiatives such as the **reticulate** package that facilitates access to Python\index{Python} from R and the [Ursa Labs](https://ursalabs.org/) initiative to support portable libraries to the benefit of the entire open source data science ecosystem.
 
 In practice both R and Python have their strengths and to some extent which you use is less important than the domain of application and communication of results.