Split script into beginner and advanced, #716

_includes/script_for_loop/script_advanced_for_loop.py

@@ -0,0 +1,98 @@
+# %%
+# Anything iterable can be iterated over with a for loop
+# Observe that:
+# - list content don't matter
+# - that the iterator will always be overwritten by the next item
+for i in ['a','b','c',1,2,3,[1,2,3],1.5,2.7]:
+    print(f'"i" has the value "{i}" and type "{type(i)}"')
+
+# Iterate over two or more list (with the same length)
+# e.g. iterate over a list of coordinates
+import numpy as np
+image = np.random.randint(0,255,100).reshape(10,10)
+x_coordinates = range(10)
+y_coordinates = range(10)
+for y,x in zip(y_coordinates,x_coordinates):
+    print(f'At position x: {x} and y: {y} the intensity value is: {image[y,x]}.')
+
+# %%
+# list comprehension
+squares = []
+for i in range(10):
+    squares.append(i**2)
+print(squares)
+# use list comprehension
+squares = [i**2 for i in range(10)]
+print(squares)
+
+# usefull for creating an filepath iterable
+from pathlib import Path
+[file for file in Path().cwd().iterdir()]
+
+# %%
+# for loop with if
+for x in range(10):
+    if x != 0:
+        print(f'X: {x}, 1/X: {1/x}')
+
+# for loop with if and else
+for x in range(10):
+    if x == 0:
+        print(f'X: {x}, 1/X: Division by {x} not defined.')
+    else:
+        print(f'X: {x}, 1/X: {1/x}')
+
+# %%
+# for loop with continue and break
+# Usage:
+# - skip files/data for processing
+# - debugging
+# continue
+for x in range(10):
+    if x==0:
+        continue
+    print(f'X: {x}, 1/X: {1/x}')
+
+# break
+for x in range(10):
+    if x==3:
+        break
+    print(x)
+
+# %%
+# Nested loops
+for x in range(1,4):
+    for y in range(1,4):
+        print(f'X: {x}, Y: {y}, X*Y: {x*y}')
+
+# Nested lists
+for sublist in [[1,2,3],[4,5,6],[7,8,9]]:
+    for i in sublist:
+        print(i)
+
+# np.array
+# Observe that you iterate only over the first dimension when using simple loop
+array = np.random.randint(0,10,100).reshape(10,10)
+print(array.shape)
+for i in array:
+    print(i)
+
+for row in array:
+    for i in row:
+        print(i)
+
+# %%
+# Looping over pandas DataFrame
+# Observe that
+# - looping with iterrows always gives an index
+# - the second variable will always be a pandas Series object
+import pandas as pd
+df = pd.DataFrame({
+    'a':[1,2,3],
+    'b':[4,5,6]})
+print(df)
+for i,row in df.iterrows():
+    print(type(row))
+    value_a = row['a']
+    value_b = row['b']
+    print(f'Row index {i}\nColumn value "a": {value_a} and Column value "b": {value_b}')

_includes/script_for_loop/script_for_loop_python.py

@@ -42,14 +42,6 @@
 for i in range(10):
     print(i)
 
-# %%
-# Anything iterable can be iterated over with a for loop
-# Observe that:
-# - list content don't matter
-# - that the iterator will always be overwritten by the next item
-for i in ['a','b','c',1,2,3,[1,2,3],1.5,2.7]:
-    print(f'"i" has the value "{i}" and type "{type(i)}"')
-
 # %%
 # Use a for loop for the example in the beginning
 # First pack images into a list for looping over
@@ -70,95 +62,6 @@
 for i in range(number_of_images):
     print(f'Image {i} has an avg intensity of {image_list[i].mean()}.')
 
-# Iterate over two or more list (with the same length)
-for i,image in zip(range(number_of_images),image_list):
-    print(f'Image {i} has an avg intensity of {image.mean()}.')
-
 # Iterate with additional index
 for i,image in enumerate(image_list):
     print(f'Image {i} has an avg intensity of {image.mean()}.')
-
-# %%
-# For loops but advanced
-
-# %%
-# list comprehension
-squares = []
-for i in range(10):
-    squares.append(i**2)
-print(squares)
-# use list comprehension
-squares = [i**2 for i in range(10)]
-print(squares)
-
-# usefull for creating an filepath iterable
-from pathlib import Path
-[file for file in Path().cwd().iterdir()]
-
-# %%
-# for loop with if
-for x in range(10):
-    if x != 0:
-        print(f'X: {x}, 1/X: {1/x}')
-
-# for loop with if and else
-for x in range(10):
-    if x == 0:
-        print(f'X: {x}, 1/X: Division by {x} not defined.')
-    else:
-        print(f'X: {x}, 1/X: {1/x}')
-
-# %%
-# for loop with continue and break
-# Usage:
-# - skip files/data for processing
-# - debugging
-# continue
-for x in range(10):
-    if x==0:
-        continue
-    print(f'X: {x}, 1/X: {1/x}')
-
-# break
-for x in range(10):
-    if x==3:
-        break
-    print(x)
-
-# %%
-# Nested loops
-for x in range(1,4):
-    for y in range(1,4):
-        print(f'X: {x}, Y: {y}, X*Y: {x*y}')
-
-# Nested lists
-for sublist in [[1,2,3],[4,5,6],[7,8,9]]:
-    for i in sublist:
-        print(i)
-
-# np.array
-# Observe that you iterate only over the first dimension when using simple loop
-array = np.random.randint(0,10,100).reshape(10,10)
-print(array.shape)
-for i in array:
-    print(i)
-
-for row in array:
-    for i in row:
-        print(i)
-
-# %%
-# Looping over pandas DataFrame
-# Observe that
-# - looping with iterrows always gives an index
-# - the second variable will always be a pandas Series object
-import pandas as pd
-df = pd.DataFrame({
-    'a':[1,2,3],
-    'b':[4,5,6]})
-print(df)
-for i,row in df.iterrows():
-    print(type(row))
-    value_a = row['a']
-    value_b = row['b']
-    print(f'Row index {i}\nColumn value "a": {value_a} and Column value "b": {value_b}')