diff --git a/latex/annex-performance.tex b/latex/annex-performance.tex
new file mode 100644
index 0000000..b3170e2
--- /dev/null
+++ b/latex/annex-performance.tex
@@ -0,0 +1,57 @@
+For simplicity, we only include the script for the improved algorithm. For the
+intuitive algorithm, simply replace the algorithm. The imports timing and memory
+usage tracking code are nearly identical.
+
+\begin{lstlisting}[language=python]
+#!/usr/bin/python3
+import tracemalloc
+from random import random
+from math import floor, sqrt
+#from statistics import mean, variance
+from time import perf_counter
+
+# starting the memory monitoring
+tracemalloc.start()
+
+start_time = perf_counter()
+
+# store memory consumption before
+current_before, peak_before = tracemalloc.get_traced_memory()
+
+# algorithm (part to replace)
+N = 10**6
+Tot = 0
+Tot2 = 0
+for _ in range(N):
+    item = random()
+    Tot  += item
+    Tot2 += item ** 2
+mean = Tot / N
+variance = Tot2 / (N-1) - mean**2
+
+# store memory after
+current_after, peak_after = tracemalloc.get_traced_memory()
+
+end_time = perf_counter()
+
+print("mean     :", mean)
+print("variance :", variance)
+
+# displaying the memory usage
+print("Used memory before : {} B (current), {} B (peak)".format(current_before,peak_before))
+print("Used memory after : {} B (current), {} B (peak)".format(current_after,peak_after))
+print("Used memory : {} B".format(peak_after - current_before))
+print("Time : {} ms".format((end_time - start_time) * 1000))
+
+tracemalloc.stop()
+\end{lstlisting}
+
+Example output:
+\begin{lstlisting}[language=python]
+mean     : 0.5002592040785124
+variance : 0.0833757719902084
+Used memory before : 0 B (current), 0 B (peak)
+Used memory after : 1308 B (current), 1336 B (peak)
+Used memory : 1336 B
+Time : 535.1873079998768 ms
+\end{lstlisting}
diff --git a/latex/content.tex b/latex/content.tex
index ce97cad..aa0432a 100644
--- a/latex/content.tex
+++ b/latex/content.tex
@@ -154,7 +154,7 @@ We set out to study the resource consumption of the algorithms. We implemented
 the above formulae to calculate the mean and variance of $ N = 10^6 $ random
 numbers. We wrote the following algorithms \footnotemark :
 
-\footnotetext{The full code used to measure performance can be found in Annex X.}
+\footnotetext{The full code used to measure performance can be found in Annex \ref{annex:performance}.}
 % TODO annex
 
 \paragraph{Intuitive algorithm} Store values first, calculate later
diff --git a/latex/main.tex b/latex/main.tex
index 33e1561..521dcab 100644
--- a/latex/main.tex
+++ b/latex/main.tex
@@ -106,9 +106,10 @@
 \clearpage
 \pagenumbering{Roman}
 
-\subsection{Extrait de texte}
+\subsection{Performance analysis script}
+\label{annex:performance}
 
-Eng'croyable texte
+\input{annex-performance}
 
 \clearpage