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 \section{Implementation}
 
+\subsection{Development environment}
+
+\subsubsection{Language}
+
+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
+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.
+
+Keras is a high-level API for Tensorflow allowing for the easy definition of
+neural networks. It permits easily testing and comparing different network
+layouts.
+
+\paragraph{NumPy\cite{numpy}}
+
+NumPy is 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}}
+
+Matplotlib is 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.
+
+\paragraph{PLY\cite{ply}}
+
+PLY is a tool for generating compilers in Python. It is an implementation of the
+lex and yacc utilities, allowing to create lexers and parsers. It is used in the
+project to create the SGF parser which transform SGF files to internal
+representations of Go matches.
+
+\paragraph{Other utility libraries}
+
+These are some utility libraries commonly used for frequent programming tasks:
+
+\begin{itemize}
+	\item \textbf{sys}, to stop the execution of the program or access system info such
+		as primitives maximum values.
+	\item \textbf{os}, to interact with files.
+	\item \textbf{re}, to check strings with regular expressions.
+	\item \textbf{random}, to get random values, for example to obtain a random
+		item from a list.
+	\item \textbf{copy}, to obtain deep copies of multidimensional arrays.
+\end{itemize}
+
+\subsubsection{Development tools}
+
+\paragraph{Neovim\cite{neovim}}
+
+\begin{itemize}
+
+	\item Extensions
+	\item Extensions
+
+\end{itemize}
+
+% Old stuff starts here
+
 \subsection{Engine}
 
 An implementation of GTP, that is, the piece of software which offers the GTP