diff --git a/exercises/week5/series/sources-solution/compute_algebraic.py b/exercises/week5/series/sources-solution/compute_algebraic.py
new file mode 100644
index 0000000..6dbab63
--- /dev/null
+++ b/exercises/week5/series/sources-solution/compute_algebraic.py
@@ -0,0 +1,18 @@
+from __future__ import print_function
+from series import Series
+################################################################
+
+
+class ComputeAlgebraic(Series):
+
+    def __init__(self):
+        Series.__init__(self)
+
+    def __del__(self):
+        pass
+
+    def getAnalyticPrediction(self):
+        return 1.*self.current_term*(self.current_term+1)/2.
+
+    def computeTerm(self, k):
+        return 1.*k
diff --git a/exercises/week5/series/sources-solution/compute_pi.py b/exercises/week5/series/sources-solution/compute_pi.py
new file mode 100644
index 0000000..393b9ed
--- /dev/null
+++ b/exercises/week5/series/sources-solution/compute_pi.py
@@ -0,0 +1,24 @@
+from __future__ import print_function
+import math
+from series import Series
+################################################################
+
+
+class ComputePi(Series):
+
+    def __init__(self,):
+        Series.__init__(self)
+        self.current_value = 0
+
+    def __del__(self):
+        pass
+
+    def compute(self, N):
+        Series.compute(self, N)
+        return math.sqrt(6.*self.current_value)
+
+    def computeTerm(self, k):
+        return 1./(1.*k*k)
+
+    def getAnalyticPrediction(self):
+        return math.pi
diff --git a/exercises/week5/series/sources-solution/dumper_series.py b/exercises/week5/series/sources-solution/dumper_series.py
new file mode 100644
index 0000000..516a10f
--- /dev/null
+++ b/exercises/week5/series/sources-solution/dumper_series.py
@@ -0,0 +1,21 @@
+from abc import ABC, abstractmethod
+
+
+class DumperSeries(ABC):
+
+    def __init__(self, series):
+        self.series = series
+        self.precision = 4
+
+    def __del__(self):
+        pass
+
+    @abstractmethod
+    def dump(self):
+        pass
+
+    def setPrecision(self, precision):
+        self.precision = precision
+
+    def __str__(self):
+        return self.dump()
diff --git a/exercises/week5/series/sources-solution/main.py b/exercises/week5/series/sources-solution/main.py
new file mode 100644
index 0000000..138659b
--- /dev/null
+++ b/exercises/week5/series/sources-solution/main.py
@@ -0,0 +1,55 @@
+################################################################
+from __future__ import print_function
+import sys
+from compute_pi import ComputePi
+from compute_algebraic import ComputeAlgebraic
+from print_series import PrintSeries
+from plot_series import PlotSeries
+################################################################
+
+
+def main():
+
+    argc = len(sys.argv)
+    if argc < 5:
+        print('Usage: python3 main.py series_type dumper_type maxiter freq\n\n'
+              '\tseries_type: pi/algebraic\n'
+              '\tdumper_type: print/plot\n'
+              '\tmaxiter: number of loop iteration to compute the series\n'
+              '\tfreq: frequency at which dumps/plots are made\n\n')
+        sys.exit(-1)
+
+    series_type = sys.argv[1]
+    dumper_type = sys.argv[2]
+    maxiter = int(sys.argv[3])
+    freq = int(sys.argv[4])
+
+    outfile = ""
+    if argc == 6:
+        outfile = sys.argv[5]
+
+    if series_type == "pi":
+        serie_object = ComputePi()
+    elif series_type == "algebraic":
+        serie_object = ComputeAlgebraic()
+    else:
+        raise RuntimeError("unknown series type: " + series_type)
+
+    if dumper_type == "print":
+        dumper_object = PrintSeries(serie_object, maxiter, freq)
+    elif dumper_type == "plot":
+        dumper_object = PlotSeries(serie_object, maxiter, freq)
+    else:
+        print("unknown dumper type: " + dumper_type)
+        sys.exit(-1)
+
+    dumper_object.setPrecision(20)
+
+    if outfile != "":
+        _file = open(outfile, 'w')
+        _file.write(str(dumper_object))
+    else:
+        print(dumper_object)
+
+
+main()
diff --git a/exercises/week5/series/sources-solution/plot_series.py b/exercises/week5/series/sources-solution/plot_series.py
new file mode 100644
index 0000000..f716d1b
--- /dev/null
+++ b/exercises/week5/series/sources-solution/plot_series.py
@@ -0,0 +1,40 @@
+from __future__ import print_function
+from dumper_series import DumperSeries
+import matplotlib.pyplot as plt
+################################################################
+
+
+class PlotSeries(DumperSeries):
+
+    def __init__(self, series, maxiter, freq):
+
+        DumperSeries.__init__(self, series)
+
+        self.maxiter = maxiter
+        self.freq = freq
+
+    def __del__(self):
+        pass
+
+    def dump(self):
+
+        fig = plt.figure()
+        axe = fig.add_subplot(1, 1, 1)
+        x = []
+        numerical = []
+        analytic = []
+
+        for i in range(1, int(self.maxiter/self.freq)):
+            res = self.series.compute(i*self.freq-1)
+            x.append(i*self.freq)
+            numerical.append(res)
+            analytic.append(self.series.getAnalyticPrediction())
+
+        axe.plot(x, numerical, marker='o', label='Numerical')
+        axe.plot(x, analytic, label='Analytical')
+        axe.set_xlabel(r'$k$')
+        axe.set_ylabel(r'Series')
+        axe.legend()
+        plt.show()
+
+        return "Plotted"
diff --git a/exercises/week5/series/sources-solution/print_series.py b/exercises/week5/series/sources-solution/print_series.py
new file mode 100644
index 0000000..f41fdd6
--- /dev/null
+++ b/exercises/week5/series/sources-solution/print_series.py
@@ -0,0 +1,38 @@
+from __future__ import print_function
+import math
+from dumper_series import DumperSeries
+################################################################
+
+
+class PrintSeries(DumperSeries):
+
+    def __init__(self, series, maxiter, freq):
+
+        DumperSeries.__init__(self, series)
+
+        self.maxiter = maxiter
+        self.freq = freq
+
+    def __del__(self):
+        pass
+
+    def dump(self):
+        out = ""
+        for i in range(1, int(self.maxiter/self.freq)):
+            res = self.series.compute(i*self.freq-1)
+            res2 = self.series.compute(i*self.freq)
+
+            my_format = '{:.' + str(self.precision) + 'e}'
+            out += str(i*self.freq) + " "
+            out += my_format.format(res) + " "
+            out += my_format.format(res2 - res)
+
+            try:
+                out += " " + my_format.format(
+                    math.fabs(res2 - self.series.getAnalyticPrediction()))
+
+            except Exception as e:
+                pass
+
+            out += "\n"
+        return out
diff --git a/exercises/week5/series/sources-solution/series.py b/exercises/week5/series/sources-solution/series.py
new file mode 100644
index 0000000..d28db43
--- /dev/null
+++ b/exercises/week5/series/sources-solution/series.py
@@ -0,0 +1,34 @@
+from abc import ABC, abstractmethod
+
+
+class Series(ABC):
+
+    def __init__(self):
+        self.current_term = 0
+        self.current_value = 0
+
+    def __del__(self):
+        pass
+
+    def compute(self, N):
+        if self.current_term <= N:
+            N -= self.current_term
+        else:
+            self.current_value = 0.
+            self.current_term = 0
+
+        for k in range(0, N):
+            self.addTerm()
+
+        return self.current_value
+
+    @abstractmethod
+    def getAnalyticPrediction(self):
+        pass
+
+    def addTerm(self):
+        self.current_term += 1
+        self.current_value += self.computeTerm(self.current_term)
+
+    def computeTerm(self, k):
+        pass
diff --git a/exercises/week5/series/sujet.pdf b/exercises/week5/series/sujet.pdf
new file mode 100644
index 0000000..8f1f8bd
Binary files /dev/null and b/exercises/week5/series/sujet.pdf differ