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authorInigoGutierrez <inigogf.95@gmail.com>2022-08-25 21:20:16 +0200
committerInigoGutierrez <inigogf.95@gmail.com>2022-08-25 21:20:16 +0200
commit9701d4572b27f3c1a02b34c84b70ce5bf71ddeda (patch)
tree9a617e33acb0831a83a148ec4d95c6f73d40c464
parent61dbd424248485981e55649a5939b0b59273f622 (diff)
downloadimago-9701d4572b27f3c1a02b34c84b70ce5bf71ddeda.tar.gz
imago-9701d4572b27f3c1a02b34c84b70ce5bf71ddeda.zip
Capitalized Python.
-rw-r--r--doc/tex/implementation.tex8
-rw-r--r--doc/tex/systemAnalysis.tex14
2 files changed, 11 insertions, 11 deletions
diff --git a/doc/tex/implementation.tex b/doc/tex/implementation.tex
index e449e7c..24a231c 100644
--- a/doc/tex/implementation.tex
+++ b/doc/tex/implementation.tex
@@ -25,13 +25,13 @@ The programming language of choice is Python \cite{python}. The rationale behind
this decision has been stated on Section \ref{sec:programmingLanguage}. It also
allows easy use of the Keras library for implementing neural networks.
-Various python libraries have been used to easy the development process or
+Various Python libraries have been used to easy the development process or
assist in the analysis of results. These are:
\paragraph{Keras/Tensorflow \cite{keras}}
Tensorflow is a platform for machine learning which provides a diverse range of
-tools, one of which is a python library for machine learning.
+tools, one of which is a Python library for machine learning.
Keras is a high-level API for Tensorflow allowing for the easy definition of
neural networks. It permits easily testing and comparing different network
@@ -39,13 +39,13 @@ layouts.
\paragraph{NumPy \cite{numpy}}
-A scientific package for python providing a lot of mathematical tools. The most
+A scientific package for Python providing a lot of mathematical tools. The most
interesting for this project are its capabilities to create and transform
matrices.
\paragraph{Matplotlib \cite{matplotlib}}
-A python library for creating graphs and other visualizations. It is used to
+A Python library for creating graphs and other visualizations. It is used to
show the likelihood of moves the neural networks of the project create from a
board configuration.
diff --git a/doc/tex/systemAnalysis.tex b/doc/tex/systemAnalysis.tex
index 3b6a0a3..c84f95f 100644
--- a/doc/tex/systemAnalysis.tex
+++ b/doc/tex/systemAnalysis.tex
@@ -195,8 +195,8 @@ requisites needed for the system.
\begin{enumerate}
- \item The game program will be a python file able to be executed by the
- python interpreter.
+ \item The game program will be a Python file able to be executed by the
+ Python interpreter.
\item The game program will make use of standard input and standard output
for communication.
@@ -206,8 +206,8 @@ requisites needed for the system.
\item Standard output will be used for messages directed to the user.
\end{enumerate}
- \item The engine program will be a python file able to be executed by the
- python interpreter.
+ \item The engine program will be a Python file able to be executed by the
+ Python interpreter.
\item The engine program will make use of standard input and standard output
for communication.
@@ -217,8 +217,8 @@ requisites needed for the system.
commands.
\end{enumerate}
- \item The trainer program will be a python file able to be executed by the
- python interpreter.
+ \item The trainer program will be a Python file able to be executed by the
+ Python interpreter.
\item The engine program will make use of standard input and standard output
for communication.
@@ -881,7 +881,7 @@ GTP protocol and outputs the coordinates of the board to play.
\subsubsection{Unitary Testing}
-Tests for the python code are developed using the unittest \cite{python_unittest}
+Tests for the Python code are developed using the unittest \cite{python_unittest}
testing framework. It has been chosen by virtue of being thoroughly documented
and widely used.