Fix broken link and lexer issues

Author: liamjberrisford

_config.yml

@@ -116,4 +116,6 @@ execute:
       - 'short_courses/r_unit_testing.ipynb'
       - 'short_courses/r_functions.ipynb'
       - 'short_courses/r_functions.ipynb'
+      - 'short_courses/python_language_features.ipynb'
+      - 'short_courses/python_testing.ipynb'
       - 'individual_modules/markdown_with_python/liveOutput.ipynb'

_static/multiple_regression_hyperplane.html

@@ -282,8 +282,8 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}, {"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: Advanced Regression Analysis With R "}, {"color": "#B0B0B0", "id": "Advanced Regression Analysis With R ", "label": "Advanced Regression Analysis With R ", "level": 4, "shape": "dot", "size": 10, "title": "Course Name: Advanced Regression Analysis With R \nCourse Pre-reqs: Regression Analysis with R Adapting to Varied Data Types\nSubsequent Courses: None"}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}, {"arrows": "to", "from": "Regression Analysis with R Adapting to Varied Data Types", "to": "Advanced Regression Analysis With R ", "width": 1}, {"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}]);
+                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: Advanced Regression Analysis With R "}, {"color": "#B0B0B0", "id": "Advanced Regression Analysis With R ", "label": "Advanced Regression Analysis With R ", "level": 4, "shape": "dot", "size": 10, "title": "Course Name: Advanced Regression Analysis With R \nCourse Pre-reqs: Regression Analysis with R Adapting to Varied Data Types\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Regression Analysis with R Adapting to Varied Data Types", "to": "Advanced Regression Analysis With R ", "width": 1}, {"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}, {"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });

_static/multiple_regression_hyperplane_2.html

@@ -282,8 +282,8 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to HPC", "label": "Introduction to HPC", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to HPC\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Parallel Computing"}, {"color": "#B0B0B0", "id": "Parallel Computing", "label": "Parallel Computing", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Parallel Computing\nCourse Pre-reqs: Introduction to HPC\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to HPC"}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to HPC", "to": "Parallel Computing", "width": 1}, {"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to HPC", "width": 1}]);
+                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to Unix", "label": "Introduction to Unix", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Unix\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to HPC"}, {"color": "#B0B0B0", "id": "Introduction to HPC", "label": "Introduction to HPC", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to HPC\nCourse Pre-reqs: Introduction to Unix\nSubsequent Courses: Parallel Computing"}, {"color": "#B0B0B0", "id": "Parallel Computing", "label": "Parallel Computing", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Parallel Computing\nCourse Pre-reqs: Introduction to HPC\nSubsequent Courses: None"}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Unix", "to": "Introduction to HPC", "width": 1}, {"arrows": "to", "from": "Introduction to HPC", "to": "Parallel Computing", "width": 1}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });

_static/workshop_prereqs_advanced_regression_analysis_with_r_.html

@@ -282,8 +282,8 @@ <h1></h1>
 
 
                   // parsing and collecting nodes and edges from the python
-                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}, {"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: None"}]);
-                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}, {"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}]);
+                  nodes = new vis.DataSet([{"color": "#B0B0B0", "id": "Introduction to Regression with R", "label": "Introduction to Regression with R", "level": 2, "shape": "dot", "size": 10, "title": "Course Name: Introduction to Regression with R\nCourse Pre-reqs: Introduction to R\nSubsequent Courses: Regression Analysis with R Adapting to Varied Data Types"}, {"color": "#B0B0B0", "id": "Regression Analysis with R Adapting to Varied Data Types", "label": "Regression Analysis with R Adapting to Varied Data Types", "level": 3, "shape": "dot", "size": 10, "title": "Course Name: Regression Analysis with R Adapting to Varied Data Types\nCourse Pre-reqs: Introduction to Regression with R\nSubsequent Courses: None"}, {"color": "#B0B0B0", "id": "Introduction to R", "label": "Introduction to R", "level": 1, "shape": "dot", "size": 10, "title": "Course Name: Introduction to R\nCourse Pre-reqs: None\nSubsequent Courses: Introduction to Regression with R"}]);
+                  edges = new vis.DataSet([{"arrows": "to", "from": "Introduction to Regression with R", "to": "Regression Analysis with R Adapting to Varied Data Types", "width": 1}, {"arrows": "to", "from": "Introduction to R", "to": "Introduction to Regression with R", "width": 1}]);
 
                   nodeColors = {};
                   allNodes = nodes.get({ returnType: "Object" });

_static/workshop_prereqs_parallel_computing.html

@@ -492,7 +492,7 @@
     "\n",
     "## The Styler and lintr packages\n",
     "The `styler` and `lintr` packages are two useful packages for formatting your code according to the Tidyverse style guide. You can install them from CRAN in the usual way:\n",
-    "```{r eval=FALSE, include=TRUE}\n",
+    "```r\n",
     "install.packages(\"styler\")\n",
     "install.packages(\"lintr\")\n",
     "```\n",