diff --git a/edgedetection.py b/edgedetection.py
index 3dd93f9..de25159 100644
--- a/edgedetection.py
+++ b/edgedetection.py
@@ -21,8 +21,8 @@
     else:
         f = np.append(f, 100 + np.random.normal(0,1))
 
-print f.shape
-print index.shape
+print(f.shape)
+print(index.shape)
 
 plt.figure(2)
 plt.plot(index, f, 'r-')
@@ -50,7 +50,7 @@
 
 x = np.arange(-20, 20, 0.1)
 kernel = (1/(std*np.sqrt(2*np.pi)))*np.exp(-np.square((x-mean)/std)/2)
-print kernel.shape
+print(kernel.shape)
 
 plt.figure(4)
 plt.plot(x, kernel, 'b-')
@@ -62,7 +62,7 @@
 
 # Convolve original image signal with Gaussian filter
 smoothed = np.convolve(kernel, f, 'same')
-print smoothed.shape
+print(smoothed.shape)
 
 plt.figure(5)
 plt.plot(smoothed, 'r-')
@@ -96,7 +96,7 @@
 
 # Convolve original image signal with Gaussian filter
 smoothed = np.convolve(first_diff, f, 'same')
-print smoothed.shape
+print(smoothed.shape)
 
 plt.figure(8)
 plt.plot(smoothed, 'r-')
@@ -119,7 +119,7 @@
 
 # Convolve original image signal with Gaussian filter
 smoothed = np.convolve(laplacian, f, 'same')
-print smoothed.shape
+print(smoothed.shape)
 
 plt.figure(10)
 plt.plot(smoothed, 'r-')
diff --git a/grayscale.py b/grayscale.py
index bd79813..2921e82 100644
--- a/grayscale.py
+++ b/grayscale.py
@@ -6,7 +6,7 @@
 import cv2
 import imutils
 
-print "All packages imported properly!"
+print("All packages imported properly!")
 
 # Load & show original image
 image = cv2.imread("testudo.jpg")
@@ -14,8 +14,8 @@
 
 cv2.imshow("Original Image", image)
 
-print "height: %d" % (image.shape[0])
-print "width: %d" % (image.shape[1])
+print("height: %d" % (image.shape[0]))
+print("width: %d" % (image.shape[1]))
 
 x_lim = image.shape[0]
 y_lim = image.shape[1]
diff --git a/opencvfundamentals.py b/opencvfundamentals.py
index 41338fe..c4ab219 100644
--- a/opencvfundamentals.py
+++ b/opencvfundamentals.py
@@ -3,7 +3,7 @@
 import cv2
 import imutils
 
-print "All packages imported properly!"
+print("All packages imported properly!")
 
 # Displaying & resizing images
 image = cv2.imread("testudo.jpg")
@@ -20,18 +20,18 @@
 cv2.imwrite("testimage.jpg", image)
 
 # Image shape (dimensions)
-print image.shape
-print "height: %d" % (image.shape[0])
-print "width: %d" % (image.shape[1])
-print "channels: %d" % (image.shape[2])
+print(image.shape)
+print("height: %d" % (image.shape[0]))
+print("width: %d" % (image.shape[1]))
+print("channels: %d" % (image.shape[2]))
 
 # Pixel operations & image slicing
 (b, g, r) = image[0, 0]
-print "Pixel at (0, 0) - Red: %d, Green: %d, Blue: %d" % (r, g, b)
+print("Pixel at (0, 0) - Red: %d, Green: %d, Blue: %d" % (r, g, b))
 #
 image[0, 0] = (0, 0, 255)
 (b, g, r) = image[0, 0]
-print "Pixel at (0, 0) - Red: %d, Green: %d, Blue: %d" % (r, g, b)
+print("Pixel at (0, 0) - Red: %d, Green: %d, Blue: %d" % (r, g, b))
 
 corner = image[0:100, 0:100]
 cv2.imshow("Corner", corner)
@@ -96,7 +96,7 @@
 
 white = (255, 255, 255)
 
-for r in xrange(0, 275, 25):
+for r in range(0, 275, 25):
     cv2.circle(canvas, (centerX, centerY), r, white)
     cv2.imshow("Concentric Circles", canvas)
     cv2.waitKey(0)
diff --git a/threshold.py b/threshold.py
index 2a6216b..8ce32ec 100644
--- a/threshold.py
+++ b/threshold.py
@@ -6,7 +6,7 @@
 import cv2
 import imutils
 
-print "All packages imported properly!"
+print("All packages imported properly!")
 
 # Load & show original image
 image = cv2.imread("testudo.jpg")