version stepping of dependencies and first steps into exceptions

Author: thomasWeise

requirements.txt

@@ -6,7 +6,7 @@
 # You can find it at https://thomasweise.github.io/latexgit_py,
 # https://github.com/thomasWeise/latexgit_py, or at
 # https://pypi.org/project/latexgit.
-latexgit == 0.8.22
+latexgit == 0.8.23
 
 # minify_html is needed to minify html output.
 minify_html == 0.15.0

text/main/controlFlow/controlFlow.tex

@@ -16,6 +16,7 @@
 \hinput{conditionals}{conditionals.tex}%
 \hinput{loops}{loops.tex}%
 \hinput{functions}{functions.tex}%
+\hinput{exceptions}{exceptions.tex}%
 %
 \endhsection%
 %

text/main/controlFlow/exceptions/exceptions.tex

@@ -0,0 +1,13 @@
+\hsection{Exceptions}%
+%
+So far, we have mainly focused on writing correct code.
+Code that is free of errors.
+At some points, however, we have come into contact with errors that may arise regardless of whether our code is correct or not.
+Back in \cref{sec:float:special}, we saw that trying to compute something like \pythonil{(10 ** 400) * 1.0} will yield an \pythonilIdx{OverflowError}, as the integer~$10^{400}$ is too large to convert it to a \pythonil{float} during the multiplication with~\pythonil{1.0}.
+Trying to access a character of a string at an index greater than or equal to the length of the string will lead to an~\pythonilIdx{IndexError}, as we saw in \cref{sec:strBasicOperations}.
+The attempt to modify an element of a \pythonil{tuple} is rewarded with a \pythonilIdx{TypeError} in \cref{sec:tuples}.
+Clearly, some of these errors may result from programming mistakes.
+But they could just as well result from invalid data being entered in the input of the program.
+%
+\endhsection%
+%

text/main/controlFlow/functions/functions.tex

@@ -600,7 +600,7 @@
 \FloatBarrier%
 \endhsection%
 %
-\hsection{Functions as Parameters or Variables, \texttt{Callable} and \texttt{lambda}s}%
+\hsection{Functions as Parameters or Variables, \texttt{Callable}, and \texttt{lambda}s}%
 %
 We have just learned that we can basically construct a function call by placing the parameter values into collection objects and then invoke the function by \inQuotes{unpacking} the collection using either \pythonil{*} (for position-based parameters) or \pythonil{**} (for dictionaries).
 But there is one more interesting thing that we can do with functions.