diff --git a/test1.py b/test1.py
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+++ b/test1.py
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+"""
+    Testing code for different neural network configurations.
+    Adapted for Python 3.5.2
+
+    Usage in shell:
+        python3.5 test.py
+
+    Network (network.py and network2.py) parameters:
+        2nd param is epochs count
+        3rd param is batch size
+        4th param is learning rate (eta)
+
+    Author:
+        Michał Dobrzański, 2016
+        dobrzanski.michal.daniel@gmail.com
+"""
+
+# ----------------------
+# - read the input data:
+
+import mnist_loader
+import numpy as np
+training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
+training_data = list(training_data)
+
+# ---------------------
+import matplotlib.pyplot as plt
+# plot first 5 data
+plt.figure(figsize=(10, 6))
+for i in range(5):
+    plt.subplot(1, 5, i+1)
+    plt.imshow(np.array(training_data[i][0]).reshape(28, 28), cmap='gray')
+    plt.title(f"Label: {np.argmax(training_data[i][1])}")
+plt.tight_layout()
+plt.show()
+
+# ---------------------
+# - network.py example:
+import network
+
+
+net = network.Network([784, 30, 10])
+net.SGD(training_data, 30, 10, 3.0, test_data=test_data)