Adding language to code fences and pre to console logs (#40603)

* added languages to prismjs

* added language to code fences for python for everybody

* multiline pre to python for everybody questions

* multiline pre for data analysis with python

* multiline pre in numpy questions

* single line pre for python for everybody

* single line pre for data analysis with python

* single line pre for numpy

* Revert "multiline pre in numpy questions"

This reverts commit af1a02cdd3.

* fix unneded escaping

commit suggestions from code review

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>

* Revert "single line pre for numpy"

This reverts commit 5f90981108.

* revert changes to snippet that have a language

* one last code fence to pre

* Revert "fix unneded escaping
"

This reverts commit 64c84a9213.

* Revert "single line pre for data analysis with python"

This reverts commit 3bccaff753.

* Revert "single line pre for python for everybody"

This reverts commit 03a5379062.

* remove unnecessary escape

Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-introduction.md

@@ -36,25 +36,21 @@ print(s.notnull().sum())
 
 ---
 
-```
-0     True
+<pre>0     True
 1     True
 2    False
 3     True
 4    False
-dtype: bool
-```
+dtype: bool</pre>
 
 ---
 
-```
-0    False
+<pre>0    False
 1    False
 2     True
 3    False
 4     True
-dtype: bool
-```
+dtype: bool</pre>
 
 ## --video-solution--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-with-dataframes.md

@@ -33,36 +33,36 @@ print(s)
 
 ## --answers--
 
-```
+<pre>
 0    1.0
 1    1.0
 2    2.0
 3    3.0
 4    3.0
 dtype: float64
-```
+</pre>
 
 ---
 
-```
+<pre>
 0    NaN
 1    1.0
 2    2.0
 3    2.0
 4    3.0
 dtype: float64
-```
+</pre>
 
 ---
 
-```
+<pre>
 0    NaN
 1    1.0
 2    2.0
 3    NaN
 4    3.0
 dtype: float64
-```
+</pre>
 
 ## --video-solution--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/numpy-arrays.md

@@ -33,7 +33,7 @@ print(A[:, :2])
 
 ## --answers--
 
-```python
+```py
 [['a' 'b']]
 ```
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-conditional-selection-and-modifying-dataframes.md

@@ -39,33 +39,33 @@ print(certificates_earned)
 
 ## --answers--
 
-```
+<pre>
 Tom      13
 Kris     11
 Ahmad     9
 Beau      7
 Name: Longest streak, dtype: int64
-```
+</pre>
 
 ---
 
-```
+<pre>
       Certificates  Time (in months)  Longest streak
 Tom               8                16              13
 Kris              2                 5              11
 Ahmad             5                 9               9
 Beau              6                12               7
-```
+</pre>
 
 ---
 
-```
+<pre>
       Certificates   Longest streak
 Tom               8               13
 Kris              2               11
 Ahmad             5                9
 Beau              6                7
-```
+</pre>
 
 ## --video-solution--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-creating-columns.md

@@ -21,13 +21,11 @@ More resources:
 
 What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
 
-```
-      Certificates  Time (in months)  Certificates per month
+<pre>      Certificates  Time (in months)  Certificates per month
 Tom               8                16                    0.50
 Kris              2                 5                    0.40
 Ahmad             5                 9                    0.56
-Beau              6                12                    0.50
-```
+Beau              6                12                    0.50</pre>
 
 ## --answers--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-dataframes.md

@@ -36,29 +36,29 @@ print(certificates_earned.iloc[2])
 
 ## --answers--
 
-```
+<pre>
 Tom      16
 Kris      5
 Ahmad     9
 Beau     12
 Name: Time (in months), dtype: int64
-```
+</pre>
 
 ---
 
-```
+<pre>
 Certificates         6
 Time (in months)    12
 Name: Beau, dtype: int64
-```
+</pre>
 
 ---
 
-```
+<pre>
 Certificates        5
 Time (in months)    9
 Name: Ahmad, dtype: int64
-```
+</pre>
 
 ## --video-solution--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md

@@ -34,30 +34,30 @@ print(certificates_earned[certificates_earned > 5])
 
 ## --answers--
 
-```
+<pre>
 Tom      True
 Kris     False
 Ahmad    False
 Beau     True
 dtype: int64
-```
+</pre>
 
 ---
 
-```
+<pre>
 Tom      8
 Ahmad    5
 Beau     6
 dtype: int64
-```
+</pre>
 
 ---
 
-```
+<pre>
 Tom      8
 Beau     6
 dtype: int64
-```
+</pre>
 
 ## --video-solution--
 

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.md

@@ -21,13 +21,13 @@ More resources:
 
 Given a file named `certificates.csv` with these contents:
 
-```
+<pre>
 Name$Certificates$Time (in months)
 Tom$8$16
 Kris$2$5
 Ahmad$5$9
 Beau$6$12
-```
+</pre>
 
 Fill in the blanks for the missing arguments below:
 

curriculum/challenges/english/08-data-analysis-with-python/numpy/loading-data-and-advanced-indexing.md

@@ -12,10 +12,10 @@ dashedName: loading-data-and-advanced-indexing
 
 Given a file named `data.txt` with these contents:
 
-```
+<pre>
 29,97,32,100,45
 15,88,5,75,22
-```
+</pre>
 
 What code would produce the following array?