requirements.txt

@@ -1,4 +1,3 @@
-numpy==2.4.3
-matplotlib==3.10.8
-ipykernel==7.2.0
-scipy==1.17.1
+numpy
+matplotlib
+ipykernel

src/scipy_integrate.py

@@ -1,41 +0,0 @@
-# %%
-# Python initialisieren
-import matplotlib.pyplot as plt
-import numpy as np
-import scipy.integrate as ig
-
-# Parameter
-x_0 = 0.0
-x_E = np.pi
-N = 11
-n = 5
-pr = 6
-lw = 3
-fig = 1
-
-# Funktion
-f = lambda x: np.sin(x)
-
-# Berechnungen
-for k in range(0, n):
-    x_data = np.linspace(x_0, x_E, N)
-    y_data = f(x_data)
-    I = ig.trapezoid(y=y_data, x=x_data)
-    J = ig.simpson(y=y_data, x=x_data)
-    print(f"I = {I:#.16g}")
-    print(f"J = {J:#.16g}")
-    N *= 2
-
-# Ausgabe
-print(f"I = {I:#.{pr}g}")
-print(f"J = {J:#.{pr}g}")
-
-# Plot
-fh = plt.figure(fig)
-plt.plot(x_data, y_data, linewidth=lw)
-plt.xlabel("x")
-plt.ylabel("y")
-plt.grid(visible=True)
-plt.axis("image")
-plt.show()
-# %%